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Eddelbuettel Wed, 20 Nov 2019 20:46:41 -0600 + r-cran-cardata (3.0.2-1) unstable; urgency=medium * New upstream release (renamed from 3.0-2) diff -Nru r-cran-cardata-3.0.2/debian/control r-cran-cardata-3.0.3/debian/control --- r-cran-cardata-3.0.2/debian/control 2019-01-27 18:01:45.000000000 +0000 +++ r-cran-cardata-3.0.3/debian/control 2019-11-21 02:46:41.000000000 +0000 @@ -2,8 +2,8 @@ Section: gnu-r Priority: optional Maintainer: Dirk Eddelbuettel -Build-Depends: debhelper (>= 10), r-base-dev (>= 3.5.2), dh-r -Standards-Version: 4.3.0 +Build-Depends: debhelper (>= 10), r-base-dev (>= 3.6.1), dh-r +Standards-Version: 4.4.0 Vcs-Browser: https://salsa.debian.org/edd/r-cran-cardata Vcs-Git: https://salsa.debian.org/edd/r-cran-cardata.git Homepage: https://cran.r-project.org/package=carData diff -Nru r-cran-cardata-3.0.2/DESCRIPTION r-cran-cardata-3.0.3/DESCRIPTION --- r-cran-cardata-3.0.2/DESCRIPTION 2018-09-30 16:00:03.000000000 +0000 +++ r-cran-cardata-3.0.3/DESCRIPTION 2019-11-16 17:50:02.000000000 +0000 @@ -1,6 +1,6 @@ Package: carData -Version: 3.0-2 -Date: 2018-09-28 +Version: 3.0-3 +Date: 2019-11-16 Title: Companion to Applied Regression Data Sets Authors@R: c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"), person("Sanford", "Weisberg", role = "aut", email = "sandy@umn.edu"), @@ -10,7 +10,7 @@ LazyData: yes Description: Datasets to Accompany J. Fox and S. Weisberg, - An R Companion to Applied Regression, Third Edition, Sage (forthcoming). + An R Companion to Applied Regression, Third Edition, Sage (2019). License: GPL (>= 2) URL: https://r-forge.r-project.org/projects/car/, https://CRAN.R-project.org/package=carData, @@ -21,8 +21,8 @@ Maintainer: John Fox Repository: CRAN Repository/R-Forge/Project: car -Repository/R-Forge/Revision: 566 -Repository/R-Forge/DateTimeStamp: 2018-09-28 16:36:37 -Date/Publication: 2018-09-30 16:00:03 UTC +Repository/R-Forge/Revision: 616 +Repository/R-Forge/DateTimeStamp: 2019-11-16 15:55:16 +Date/Publication: 2019-11-16 17:50:02 UTC NeedsCompilation: no -Packaged: 2018-09-28 16:50:10 UTC; rforge +Packaged: 2019-11-16 16:10:10 UTC; rforge diff -Nru r-cran-cardata-3.0.2/man/AMSsurvey.Rd r-cran-cardata-3.0.3/man/AMSsurvey.Rd --- r-cran-cardata-3.0.2/man/AMSsurvey.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/AMSsurvey.Rd 2019-11-15 17:04:18.000000000 +0000 @@ -1,44 +1,44 @@ -\name{AMSsurvey} -\alias{AMSsurvey} -\docType{data} -\title{ -American Math Society Survey Data -} -\description{ -Counts of new PhDs in the mathematical sciences for 2008-09 and 2011-12 -categorized by type of institution, gender, and US citizenship status. -} -\usage{AMSsurvey} -\format{ - A data frame with 24 observations on the following 5 variables. - \describe{ - \item{type}{a factor with levels \code{I(Pu)} for group I -public universities, \code{I(Pr)} for group I private universities, \code{II} -and \code{III} for groups II and III, \code{IV} for statistics and -biostatistics programs, and \code{Va} for applied mathemeatics programs.} - \item{sex}{a factor with levels \code{Female}, \code{Male} of the -recipient} - \item{citizen}{a factor with levels \code{Non-US}, \code{US} giving -citizenship status} - \item{count}{The number of individuals of each type in 2008-09} - \item{count11}{The number of individuals of each type in 2011-12} - } -} -\details{ -These data are produced yearly by the American Math Society. -} -\source{ -\url{http://www.ams.org/employment/surveyreports.html} -Supplementary Table 4 in the 2008-09 data. See \url{http://www.ams.org/profession/data/annual-survey/docsgrtd} for more recent data. -} -\references{ - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. - -Phipps, Polly, Maxwell, James W. and Rose, Colleen -(2009), \emph{2009 Annual Survey of the Mathematical Sciences}, -57, {250--259}, Supplementary Table 4, -\url{http://www.ams.org/employment/2009Survey-First-Report-Supp-Table4.pdf} -} - -\keyword{datasets} +\name{AMSsurvey} +\alias{AMSsurvey} +\docType{data} +\title{ +American Math Society Survey Data +} +\description{ +Counts of new PhDs in the mathematical sciences for 2008-09 and 2011-12 +categorized by type of institution, gender, and US citizenship status. +} +\usage{AMSsurvey} +\format{ + A data frame with 24 observations on the following 5 variables. + \describe{ + \item{type}{a factor with levels \code{I(Pu)} for group I +public universities, \code{I(Pr)} for group I private universities, \code{II} +and \code{III} for groups II and III, \code{IV} for statistics and +biostatistics programs, and \code{Va} for applied mathemeatics programs.} + \item{sex}{a factor with levels \code{Female}, \code{Male} of the +recipient} + \item{citizen}{a factor with levels \code{Non-US}, \code{US} giving +citizenship status} + \item{count}{The number of individuals of each type in 2008-09} + \item{count11}{The number of individuals of each type in 2011-12} + } +} +\details{ +These data are produced yearly by the American Math Society. +} +\source{ +\url{http://www.ams.org/employment/surveyreports.html} +Supplementary Table 4 in the 2008-09 data. See \url{http://www.ams.org/profession/data/annual-survey/docsgrtd} for more recent data. +} +\references{ + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. + +Phipps, Polly, Maxwell, James W. and Rose, Colleen +(2009), \emph{2009 Annual Survey of the Mathematical Sciences}, +57, {250--259}, Supplementary Table 4, +orginally downloaded from http://www.ams.org/employment/2009Survey-First-Report-Supp-Table4.pdf +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Angell.Rd r-cran-cardata-3.0.3/man/Angell.Rd --- r-cran-cardata-3.0.2/man/Angell.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Angell.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,53 +1,53 @@ -\name{Angell} -\alias{Angell} -\docType{data} - -\title{Moral Integration of American Cities} - -\description{ -The \code{Angell} data frame has 43 rows and 4 columns. -The observations are 43 U. S. cities around 1950. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{moral}{ - Moral Integration: Composite of crime rate and - welfare expenditures. - } - \item{hetero}{ - Ethnic Heterogenity: From percentages of nonwhite and - foreign-born white residents. - } - \item{mobility}{ - Geographic Mobility: From percentages of residents - moving into and out of the city. - } - \item{region}{ - A factor with levels: - \code{E} Northeast; - \code{MW} Midwest; - \code{S} Southeast; - \code{W} West. - } - } - } - -\source{ - Angell, R. C. (1951) The moral integration of American Cities. - \emph{American Journal of Sociology} \bold{57} (part 2), 1--140. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -Angell -} - -\keyword{datasets} +\name{Angell} +\alias{Angell} +\docType{data} + +\title{Moral Integration of American Cities} + +\description{ +The \code{Angell} data frame has 43 rows and 4 columns. +The observations are 43 U. S. cities around 1950. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{moral}{ + Moral Integration: Composite of crime rate and + welfare expenditures. + } + \item{hetero}{ + Ethnic Heterogenity: From percentages of nonwhite and + foreign-born white residents. + } + \item{mobility}{ + Geographic Mobility: From percentages of residents + moving into and out of the city. + } + \item{region}{ + A factor with levels: + \code{E} Northeast; + \code{MW} Midwest; + \code{S} Southeast; + \code{W} West. + } + } + } + +\source{ + Angell, R. C. (1951) The moral integration of American Cities. + \emph{American Journal of Sociology} \bold{57} (part 2), 1--140. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +Angell +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Anscombe.Rd r-cran-cardata-3.0.3/man/Anscombe.Rd --- r-cran-cardata-3.0.2/man/Anscombe.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Anscombe.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,46 +1,46 @@ -\name{Anscombe} -\alias{Anscombe} -\docType{data} - -\title{U. S. State Public-School Expenditures} - -\description{ -The \code{Anscombe} data frame has 51 rows and 4 columns. -The observations are the U. S. states plus Washington, D. C. in 1970. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{education}{ - Per-capita education expenditures, dollars. - } - \item{income}{ - Per-capita income, dollars. - } - \item{young}{ - Proportion under 18, per 1000. - } - \item{urban}{ - Proportion urban, per 1000. - } - } - } - - -\source{ - Anscombe, F. J. (1981) - \emph{Computing in Statistical Science Through APL}. Springer-Verlag. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -Anscombe -} -\keyword{datasets} +\name{Anscombe} +\alias{Anscombe} +\docType{data} + +\title{U. S. State Public-School Expenditures} + +\description{ +The \code{Anscombe} data frame has 51 rows and 4 columns. +The observations are the U. S. states plus Washington, D. C. in 1970. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{education}{ + Per-capita education expenditures, dollars. + } + \item{income}{ + Per-capita income, dollars. + } + \item{young}{ + Proportion under 18, per 1000. + } + \item{urban}{ + Proportion urban, per 1000. + } + } + } + + +\source{ + Anscombe, F. J. (1981) + \emph{Computing in Statistical Science Through APL}. Springer-Verlag. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +Anscombe +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Baumann.Rd r-cran-cardata-3.0.3/man/Baumann.Rd --- r-cran-cardata-3.0.2/man/Baumann.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Baumann.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,56 +1,56 @@ -\name{Baumann} -\alias{Baumann} -\docType{data} -\title{Methods of Teaching Reading Comprehension} -\description{ -The \code{Baumann} data frame has 66 rows and 6 columns. -The data are from an experimental study conducted by Baumann and Jones, as reported -by Moore and McCabe (1993) Students were randomly assigned to one of three -experimental groups. -} -\format{ -This data frame contains the following columns: -\describe{ -\item{group}{ -Experimental group; -a factor with levels: -\code{Basal}, traditional method of teaching; -\code{DRTA}, an innovative method; -\code{Strat}, another innovative method. -} -\item{pretest.1}{ -First pretest. -} -\item{pretest.2}{ -Second pretest. -} -\item{post.test.1}{ -First post-test. -} -\item{post.test.2}{ -Second post-test. -} -\item{post.test.3}{ -Third post-test. -} -} -} - -\source{ - Moore, D. S. and McCabe, G. P. (1993) - \emph{Introduction to the Practice of Statistics, Second Edition.} - Freeman, p. 794--795. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} -\usage{ -Baumann -} -\keyword{datasets} +\name{Baumann} +\alias{Baumann} +\docType{data} +\title{Methods of Teaching Reading Comprehension} +\description{ +The \code{Baumann} data frame has 66 rows and 6 columns. +The data are from an experimental study conducted by Baumann and Jones, as reported +by Moore and McCabe (1993) Students were randomly assigned to one of three +experimental groups. +} +\format{ +This data frame contains the following columns: +\describe{ +\item{group}{ +Experimental group; +a factor with levels: +\code{Basal}, traditional method of teaching; +\code{DRTA}, an innovative method; +\code{Strat}, another innovative method. +} +\item{pretest.1}{ +First pretest. +} +\item{pretest.2}{ +Second pretest. +} +\item{post.test.1}{ +First post-test. +} +\item{post.test.2}{ +Second post-test. +} +\item{post.test.3}{ +Third post-test. +} +} +} + +\source{ + Moore, D. S. and McCabe, G. P. (1993) + \emph{Introduction to the Practice of Statistics, Second Edition.} + Freeman, p. 794--795. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} +\usage{ +Baumann +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Bfox.Rd r-cran-cardata-3.0.3/man/Bfox.Rd --- r-cran-cardata-3.0.2/man/Bfox.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Bfox.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,61 +1,61 @@ -\name{Bfox} -\alias{Bfox} -\docType{data} - -\title{Canadian Women's Labour-Force Participation} -\description{ -The \code{Bfox} data frame has 30 rows and 7 columns. -Time-series data on Canadian women's labor-force participation, -1946--1975. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{partic}{ - Percent of adult women in the workforce. - } - \item{tfr}{ - Total fertility rate: expected births to a cohort of 1000 - women at current age-specific fertility rates. - } - \item{menwage}{ - Men's average weekly wages, in constant 1935 dollars and - adjusted for current tax rates. - } - \item{womwage}{ - Women's average weekly wages. - } - \item{debt}{ - Per-capita consumer debt, in constant dollars. - } - \item{parttime}{ - Percent of the active workforce working 34 hours per week or - less. - } - } - } - -\section{Warning}{ -The value of \code{tfr} for 1973 is misrecorded as 2931; it should be 1931. -} - - -\source{ - Fox, B. (1980) - \emph{Women's Domestic Labour and their Involvement - in Wage Work.} Unpublished doctoral dissertation, p. 449. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -Bfox -} - -\keyword{datasets} +\name{Bfox} +\alias{Bfox} +\docType{data} + +\title{Canadian Women's Labour-Force Participation} +\description{ +The \code{Bfox} data frame has 30 rows and 7 columns. +Time-series data on Canadian women's labor-force participation, +1946--1975. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{partic}{ + Percent of adult women in the workforce. + } + \item{tfr}{ + Total fertility rate: expected births to a cohort of 1000 + women at current age-specific fertility rates. + } + \item{menwage}{ + Men's average weekly wages, in constant 1935 dollars and + adjusted for current tax rates. + } + \item{womwage}{ + Women's average weekly wages. + } + \item{debt}{ + Per-capita consumer debt, in constant dollars. + } + \item{parttime}{ + Percent of the active workforce working 34 hours per week or + less. + } + } + } + +\section{Warning}{ +The value of \code{tfr} for 1973 is misrecorded as 2931; it should be 1931. +} + + +\source{ + Fox, B. (1980) + \emph{Women's Domestic Labour and their Involvement + in Wage Work.} Unpublished doctoral dissertation, p. 449. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +Bfox +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/CanPop.Rd r-cran-cardata-3.0.3/man/CanPop.Rd --- r-cran-cardata-3.0.2/man/CanPop.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/CanPop.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,45 +1,45 @@ -\name{CanPop} -\alias{CanPop} -\docType{data} - -\title{Canadian Population Data} - -\description{ -The \code{CanPop} data frame has 16 rows and 2 columns. -Decennial time-series of Canadian population, 1851--2001. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{year}{ - census year. - } - \item{population}{ - Population, in millions - } - } - } - -\source{ - Urquhart, M. C. and Buckley, K. A. H. (Eds.) (1965) - \emph{Historical Statistics of Canada}. Macmillan, p. 1369. - - Canada (1994) - \emph{Canada Year Book}. Statistics Canada, Table 3.2. - - Statistics Canada: - \url{http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-PR.cfm}. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -CanPop -} -\keyword{datasets} +\name{CanPop} +\alias{CanPop} +\docType{data} + +\title{Canadian Population Data} + +\description{ +The \code{CanPop} data frame has 16 rows and 2 columns. +Decennial time-series of Canadian population, 1851--2001. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{year}{ + census year. + } + \item{population}{ + Population, in millions + } + } + } + +\source{ + Urquhart, M. C. and Buckley, K. A. H. (Eds.) (1965) + \emph{Historical Statistics of Canada}. Macmillan, p. 1369. + + Canada (1994) + \emph{Canada Year Book}. Statistics Canada, Table 3.2. + + Statistics Canada: + \url{http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-PR.cfm}. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +CanPop +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Chile.Rd r-cran-cardata-3.0.3/man/Chile.Rd --- r-cran-cardata-3.0.2/man/Chile.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Chile.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,70 +1,70 @@ -\name{Chile} -\alias{Chile} -\docType{data} -\title{Voting Intentions in the 1988 Chilean Plebiscite} -\description{ -The \code{Chile} data frame has 2700 rows and 8 columns. -The data are from a national survey conducted in April and May of 1988 -by FLACSO/Chile. There are some missing data. -} -\format{ -This data frame contains the following columns: -\describe{ -\item{region}{ -A factor with levels: -\code{C}, Central; -\code{M}, Metropolitan Santiago area; -\code{N}, North; -\code{S}, South; -\code{SA}, city of Santiago. -} -\item{population}{ -Population size of respondent's community. -} -\item{sex}{ -A factor with levels: -\code{F}, female; -\code{M}, male. -} -\item{age}{ -in years. -} -\item{education}{ -A factor with levels (note: out of order): -\code{P}, Primary; -\code{PS}, Post-secondary; -\code{S}, Secondary. -} -\item{income}{ -Monthly income, in Pesos. -} -\item{statusquo}{ -Scale of support for the status-quo. -} -\item{vote}{ -a factor with levels: -\code{A}, will abstain; -\code{N}, will vote no (against Pinochet); -\code{U}, undecided; -\code{Y}, will vote yes (for Pinochet). -} -} -} - -\source{ - Personal communication from FLACSO/Chile. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - -\usage{ -Chile -} -\keyword{datasets} +\name{Chile} +\alias{Chile} +\docType{data} +\title{Voting Intentions in the 1988 Chilean Plebiscite} +\description{ +The \code{Chile} data frame has 2700 rows and 8 columns. +The data are from a national survey conducted in April and May of 1988 +by FLACSO/Chile. There are some missing data. +} +\format{ +This data frame contains the following columns: +\describe{ +\item{region}{ +A factor with levels: +\code{C}, Central; +\code{M}, Metropolitan Santiago area; +\code{N}, North; +\code{S}, South; +\code{SA}, city of Santiago. +} +\item{population}{ +Population size of respondent's community. +} +\item{sex}{ +A factor with levels: +\code{F}, female; +\code{M}, male. +} +\item{age}{ +in years. +} +\item{education}{ +A factor with levels (note: out of order): +\code{P}, Primary; +\code{PS}, Post-secondary; +\code{S}, Secondary. +} +\item{income}{ +Monthly income, in Pesos. +} +\item{statusquo}{ +Scale of support for the status-quo. +} +\item{vote}{ +a factor with levels: +\code{A}, will abstain; +\code{N}, will vote no (against Pinochet); +\code{U}, undecided; +\code{Y}, will vote yes (for Pinochet). +} +} +} + +\source{ + Personal communication from FLACSO/Chile. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\usage{ +Chile +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Chirot.Rd r-cran-cardata-3.0.3/man/Chirot.Rd --- r-cran-cardata-3.0.2/man/Chirot.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Chirot.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,51 +1,51 @@ -\name{Chirot} -\alias{Chirot} -\docType{data} - -\title{The 1907 Romanian Peasant Rebellion} - -\description{ -The \code{Chirot} data frame has 32 rows and 5 columns. -The observations are counties in Romania. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{intensity}{ - Intensity of the rebellion - } - \item{commerce}{ - Commercialization of agriculture - } - \item{tradition}{ - Traditionalism - } - \item{midpeasant}{ - Strength of middle peasantry - } - \item{inequality}{ - Inequality of land tenure - } - } - } - -\source{ - Chirot, D. and C. Ragin (1975) - The market, tradition and peasant rebellion: The case of Romania. - \emph{American Sociological Review} \bold{40}, 428--444 [Table 1]. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - - -\usage{ -Chirot -} - -\keyword{datasets} +\name{Chirot} +\alias{Chirot} +\docType{data} + +\title{The 1907 Romanian Peasant Rebellion} + +\description{ +The \code{Chirot} data frame has 32 rows and 5 columns. +The observations are counties in Romania. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{intensity}{ + Intensity of the rebellion + } + \item{commerce}{ + Commercialization of agriculture + } + \item{tradition}{ + Traditionalism + } + \item{midpeasant}{ + Strength of middle peasantry + } + \item{inequality}{ + Inequality of land tenure + } + } + } + +\source{ + Chirot, D. and C. Ragin (1975) + The market, tradition and peasant rebellion: The case of Romania. + \emph{American Sociological Review} \bold{40}, 428--444 [Table 1]. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + + +\usage{ +Chirot +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Davis.Rd r-cran-cardata-3.0.3/man/Davis.Rd --- r-cran-cardata-3.0.2/man/Davis.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Davis.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,61 +1,61 @@ -\name{Davis} -\alias{Davis} -\docType{data} - -\title{Self-Reports of Height and Weight} - -\description{ -The \code{Davis} data frame has 200 rows and 5 columns. -The subjects were men and women engaged in regular exercise. -There are some missing data. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{sex}{ - A factor with levels: - \code{F}, female; - \code{M}, male. - } - \item{weight}{ - Measured weight in kg. - } - \item{height}{ - Measured height in cm. - } - \item{repwt}{ - Reported weight in kg. - } - \item{repht}{ - Reported height in cm. - } - } - } - - -\source{ - Personal communication from C. Davis, Departments of - Physical Education and Psychology, York University. -} - -\references{ - Davis, C. (1990) - Body image and weight preoccupation: A comparison between exercising - and non-exercising women. - \emph{Appetite}, \bold{15}, 13--21. - - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Davis -} - -\keyword{datasets} +\name{Davis} +\alias{Davis} +\docType{data} + +\title{Self-Reports of Height and Weight} + +\description{ +The \code{Davis} data frame has 200 rows and 5 columns. +The subjects were men and women engaged in regular exercise. +There are some missing data. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{sex}{ + A factor with levels: + \code{F}, female; + \code{M}, male. + } + \item{weight}{ + Measured weight in kg. + } + \item{height}{ + Measured height in cm. + } + \item{repwt}{ + Reported weight in kg. + } + \item{repht}{ + Reported height in cm. + } + } + } + + +\source{ + Personal communication from C. Davis, Departments of + Physical Education and Psychology, York University. +} + +\references{ + Davis, C. (1990) + Body image and weight preoccupation: A comparison between exercising + and non-exercising women. + \emph{Appetite}, \bold{15}, 13--21. + + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Davis +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/DavisThin.Rd r-cran-cardata-3.0.3/man/DavisThin.Rd --- r-cran-cardata-3.0.2/man/DavisThin.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/DavisThin.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,39 +1,39 @@ -\name{DavisThin} -\alias{DavisThin} -\docType{data} -\title{Davis's Data on Drive for Thinness} -\usage{DavisThin} -\description{ -The \code{DavisThin} data frame has 191 rows and 7 columns. -This is part of a larger dataset for a study of eating disorders. -The seven variables in the data frame comprise a "drive for thinness" -scale, to be formed by summing the items. -} -\format{ - This data frame contains the following columns: - \describe{ - \item{DT1}{a numeric vector} - \item{DT2}{a numeric vector} - \item{DT3}{a numeric vector} - \item{DT4}{a numeric vector} - \item{DT5}{a numeric vector} - \item{DT6}{a numeric vector} - \item{DT7}{a numeric vector} - } -} - -\source{ - Davis, C., G. Claridge, and D. Cerullo (1997) - Personality factors - predisposing to weight preoccupation: A continuum approach to the - association between eating disorders and personality disorders. - \emph{Journal of Psychiatric Research} \bold{31}, 467--480. [personal communication from the authors.] -} - -\references{ - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\keyword{datasets} +\name{DavisThin} +\alias{DavisThin} +\docType{data} +\title{Davis's Data on Drive for Thinness} +\usage{DavisThin} +\description{ +The \code{DavisThin} data frame has 191 rows and 7 columns. +This is part of a larger dataset for a study of eating disorders. +The seven variables in the data frame comprise a "drive for thinness" +scale, to be formed by summing the items. +} +\format{ + This data frame contains the following columns: + \describe{ + \item{DT1}{a numeric vector} + \item{DT2}{a numeric vector} + \item{DT3}{a numeric vector} + \item{DT4}{a numeric vector} + \item{DT5}{a numeric vector} + \item{DT6}{a numeric vector} + \item{DT7}{a numeric vector} + } +} + +\source{ + Davis, C., G. Claridge, and D. Cerullo (1997) + Personality factors + predisposing to weight preoccupation: A continuum approach to the + association between eating disorders and personality disorders. + \emph{Journal of Psychiatric Research} \bold{31}, 467--480. [personal communication from the authors.] +} + +\references{ + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Depredations.Rd r-cran-cardata-3.0.3/man/Depredations.Rd --- r-cran-cardata-3.0.2/man/Depredations.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Depredations.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,32 +1,32 @@ -\name{Depredations} -\alias{Depredations} -\docType{data} -\title{ -Minnesota Wolf Depredation Data -} -\description{ -Wolf depredations of livestock on Minnesota farms, 1976-1998. -} -\usage{Depredations} -\format{ - A data frame with 434 observations on the following 5 variables. - \describe{ - \item{\code{longitude}}{longitude of the farm} - \item{\code{latitude}}{latitude of the farm} - \item{\code{number}}{number of depredations 1976-1998} - \item{\code{early}}{number of depredations 1991 or before} - \item{\code{late}}{number of depredations 1992 or later} - } -} - -\references{ -Fox, J. and Weisberg, S. (2011) -\emph{An R Companion to Applied Regression}, Second Edition, Sage. - -Harper, Elizabeth K. and Paul, William J. and Mech, L. David and Weisberg, Sanford (2008), -Effectiveness of Lethal, Directed Wolf-Depredation Control in Minnesota, -\emph{Journal of Wildlife Management}, 72, 3, 778-784. -\url{http://dx.doi.org/10.2193/2007-273} -} - -\keyword{datasets} +\name{Depredations} +\alias{Depredations} +\docType{data} +\title{ +Minnesota Wolf Depredation Data +} +\description{ +Wolf depredations of livestock on Minnesota farms, 1976-1998. +} +\usage{Depredations} +\format{ + A data frame with 434 observations on the following 5 variables. + \describe{ + \item{\code{longitude}}{longitude of the farm} + \item{\code{latitude}}{latitude of the farm} + \item{\code{number}}{number of depredations 1976-1998} + \item{\code{early}}{number of depredations 1991 or before} + \item{\code{late}}{number of depredations 1992 or later} + } +} + +\references{ +Fox, J. and Weisberg, S. (2019) +\emph{An R Companion to Applied Regression}, Third Edition, Sage. + +Harper, Elizabeth K. and Paul, William J. and Mech, L. David and Weisberg, Sanford (2008), +Effectiveness of Lethal, Directed Wolf-Depredation Control in Minnesota, +\emph{Journal of Wildlife Management}, 72, 3, 778-784. +\url{http://dx.doi.org/10.2193/2007-273} +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Duncan.Rd r-cran-cardata-3.0.3/man/Duncan.Rd --- r-cran-cardata-3.0.2/man/Duncan.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Duncan.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,49 +1,49 @@ -\name{Duncan} -\alias{Duncan} -\docType{data} - -\title{Duncan's Occupational Prestige Data} - -\description{ - The \code{Duncan} data frame has 45 rows and 4 columns. - Data on the prestige and other characteristics of 45 U. S. occupations in 1950. - } - -\format{ - This data frame contains the following columns: - \describe{ - \item{type}{ Type of occupation. - A factor with the following levels: - \code{prof}, professional and managerial; - \code{wc}, white-collar; - \code{bc}, blue-collar. - } - \item{income}{Percentage of occupational incumbents in the 1950 US Census who earned $3,500 or more per year (about $36,000 in 2017 US dollars). } - \item{education}{Percentage of occupational incumbents in 1950 who were high school graduates (which, were we cynical, we would say is roughly equivalent to a PhD in 2017) - } - \item{prestige}{Percentage of respondents in a social survey who rated the occupation as ``good'' or better in prestige} - } - } - -\source{ - Duncan, O. D. (1961) - A socioeconomic index for all occupations. - In Reiss, A. J., Jr. (Ed.) - \emph{Occupations and Social Status.} Free Press - [Table VI-1]. - } - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - -\usage{ -Duncan -} - -\keyword{datasets} +\name{Duncan} +\alias{Duncan} +\docType{data} + +\title{Duncan's Occupational Prestige Data} + +\description{ + The \code{Duncan} data frame has 45 rows and 4 columns. + Data on the prestige and other characteristics of 45 U. S. occupations in 1950. + } + +\format{ + This data frame contains the following columns: + \describe{ + \item{type}{ Type of occupation. + A factor with the following levels: + \code{prof}, professional and managerial; + \code{wc}, white-collar; + \code{bc}, blue-collar. + } + \item{income}{Percentage of occupational incumbents in the 1950 US Census who earned $3,500 or more per year (about $36,000 in 2017 US dollars). } + \item{education}{Percentage of occupational incumbents in 1950 who were high school graduates (which, were we cynical, we would say is roughly equivalent to a PhD in 2017) + } + \item{prestige}{Percentage of respondents in a social survey who rated the occupation as ``good'' or better in prestige} + } + } + +\source{ + Duncan, O. D. (1961) + A socioeconomic index for all occupations. + In Reiss, A. J., Jr. (Ed.) + \emph{Occupations and Social Status.} Free Press + [Table VI-1]. + } + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\usage{ +Duncan +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Ericksen.Rd r-cran-cardata-3.0.3/man/Ericksen.Rd --- r-cran-cardata-3.0.2/man/Ericksen.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Ericksen.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,67 +1,67 @@ -\name{Ericksen} -\alias{Ericksen} -\docType{data} - -\title{The 1980 U.S. Census Undercount} - -\description{ -The \code{Ericksen} data frame has 66 rows and 9 columns. -The observations are 16 large cities, the remaining parts of -the states in which these cities are located, and the other -U. S. states. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{minority}{ - Percentage black or Hispanic. - } - \item{crime}{ - Rate of serious crimes per 1000 population. - } - \item{poverty}{ - Percentage poor. - } - \item{language}{ - Percentage having difficulty speaking or writing English. - } - \item{highschool}{ - Percentage age 25 or older who had not finished highschool. - } - \item{housing}{ - Percentage of housing in small, multiunit buildings. - } - \item{city}{A factor with levels: - \code{city}, major city; - \code{state}, state or state-remainder. - } - \item{conventional}{ - Percentage of households counted by conventional personal enumeration. - } - \item{undercount}{ - Preliminary estimate of percentage undercount. - } - } - } - -\source{ -Ericksen, E. P., Kadane, J. B. and Tukey, J. W. (1989) - Adjusting the 1980 Census of Population and Housing. - \emph{Journal of the American Statistical Association} \bold{84}, 927--944 [Tables 7 and 8]. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - -\usage{ -Ericksen -} - -\keyword{datasets} +\name{Ericksen} +\alias{Ericksen} +\docType{data} + +\title{The 1980 U.S. Census Undercount} + +\description{ +The \code{Ericksen} data frame has 66 rows and 9 columns. +The observations are 16 large cities, the remaining parts of +the states in which these cities are located, and the other +U. S. states. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{minority}{ + Percentage black or Hispanic. + } + \item{crime}{ + Rate of serious crimes per 1000 population. + } + \item{poverty}{ + Percentage poor. + } + \item{language}{ + Percentage having difficulty speaking or writing English. + } + \item{highschool}{ + Percentage age 25 or older who had not finished highschool. + } + \item{housing}{ + Percentage of housing in small, multiunit buildings. + } + \item{city}{A factor with levels: + \code{city}, major city; + \code{state}, state or state-remainder. + } + \item{conventional}{ + Percentage of households counted by conventional personal enumeration. + } + \item{undercount}{ + Preliminary estimate of percentage undercount. + } + } + } + +\source{ +Ericksen, E. P., Kadane, J. B. and Tukey, J. W. (1989) + Adjusting the 1980 Census of Population and Housing. + \emph{Journal of the American Statistical Association} \bold{84}, 927--944 [Tables 7 and 8]. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\usage{ +Ericksen +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Freedman.Rd r-cran-cardata-3.0.3/man/Freedman.Rd --- r-cran-cardata-3.0.2/man/Freedman.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Freedman.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,46 +1,46 @@ -\name{Freedman} -\alias{Freedman} -\docType{data} -\title{Crowding and Crime in U. S. Metropolitan Areas} -\description{ -The \code{Freedman} data frame has 110 rows and 4 columns. -The observations are U. S. metropolitan areas with 1968 populations -of 250,000 or more. There are some missing data. -} -\format{ -This data frame contains the following columns: -\describe{ -\item{population}{ -Total 1968 population, 1000s. -} -\item{nonwhite}{ -Percent nonwhite population, 1960. -} -\item{density}{ -Population per square mile, 1968. -} -\item{crime}{ -Crime rate per 100,000, 1969. -} -} -} - -\source{ - United States (1970) - \emph{Statistical Abstract of the United States}. - Bureau of the Census. -} - -\references{ - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. - - Freedman, J. (1975) - \emph{Crowding and Behavior.} Viking. -} - -\usage{ -Freedman -} - -\keyword{datasets} +\name{Freedman} +\alias{Freedman} +\docType{data} +\title{Crowding and Crime in U. S. Metropolitan Areas} +\description{ +The \code{Freedman} data frame has 110 rows and 4 columns. +The observations are U. S. metropolitan areas with 1968 populations +of 250,000 or more. There are some missing data. +} +\format{ +This data frame contains the following columns: +\describe{ +\item{population}{ +Total 1968 population, 1000s. +} +\item{nonwhite}{ +Percent nonwhite population, 1960. +} +\item{density}{ +Population per square mile, 1968. +} +\item{crime}{ +Crime rate per 100,000, 1969. +} +} +} + +\source{ + United States (1970) + \emph{Statistical Abstract of the United States}. + Bureau of the Census. +} + +\references{ + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. + + Freedman, J. (1975) + \emph{Crowding and Behavior.} Viking. +} + +\usage{ +Freedman +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Friendly.Rd r-cran-cardata-3.0.3/man/Friendly.Rd --- r-cran-cardata-3.0.2/man/Friendly.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Friendly.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,51 +1,51 @@ -\name{Friendly} -\alias{Friendly} -\docType{data} - -\title{Format Effects on Recall} - -\description{ - The \code{Friendly} data frame has 30 rows and 2 columns. - The data are from an experiment on subjects' ability to remember words - based on the presentation format. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{condition}{ - A factor with levels: - \code{Before}, Recalled words presented before others; - \code{Meshed}, Recalled words meshed with others; - \code{SFR}, Standard free recall. - } - \item{correct}{ - Number of words correctly recalled, out of 40 on final trial of the experiment. - } - } - } - - -\source{ - Friendly, M. and Franklin, P. (1980) - Interactive presentation in multitrial free recall. - \emph{Memory and Cognition} - \bold{8} 265--270 [Personal communication from M. Friendly]. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Friendly -} - -\keyword{datasets} +\name{Friendly} +\alias{Friendly} +\docType{data} + +\title{Format Effects on Recall} + +\description{ + The \code{Friendly} data frame has 30 rows and 2 columns. + The data are from an experiment on subjects' ability to remember words + based on the presentation format. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{condition}{ + A factor with levels: + \code{Before}, Recalled words presented before others; + \code{Meshed}, Recalled words meshed with others; + \code{SFR}, Standard free recall. + } + \item{correct}{ + Number of words correctly recalled, out of 40 on final trial of the experiment. + } + } + } + + +\source{ + Friendly, M. and Franklin, P. (1980) + Interactive presentation in multitrial free recall. + \emph{Memory and Cognition} + \bold{8} 265--270 [Personal communication from M. Friendly]. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Friendly +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Ginzberg.Rd r-cran-cardata-3.0.3/man/Ginzberg.Rd --- r-cran-cardata-3.0.2/man/Ginzberg.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Ginzberg.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,53 +1,53 @@ -\name{Ginzberg} -\alias{Ginzberg} -\docType{data} - -\title{Data on Depression} - -\description{ -The \code{Ginzberg} data frame has 82 rows and 6 columns. -The data are for psychiatric patients hospitalized for depression. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{simplicity}{ - Measures subject's need to see the world in black and white. - } - \item{fatalism}{ - Fatalism scale. - } - \item{depression}{ - Beck self-report depression scale. - } - \item{adjsimp}{ - Adjusted Simplicity: Simplicity adjusted (by regression) for other - variables thought to influence depression. - } - \item{adjfatal}{ - Adjusted Fatalism. - } - \item{adjdep}{ - Adjusted Depression. - } - } - } - -\source{ - Personal communication from Georges Monette, Department of - Mathematics and Statistics, York University, with the permission - of the original investigator. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -Ginzberg -} - -\keyword{datasets} +\name{Ginzberg} +\alias{Ginzberg} +\docType{data} + +\title{Data on Depression} + +\description{ +The \code{Ginzberg} data frame has 82 rows and 6 columns. +The data are for psychiatric patients hospitalized for depression. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{simplicity}{ + Measures subject's need to see the world in black and white. + } + \item{fatalism}{ + Fatalism scale. + } + \item{depression}{ + Beck self-report depression scale. + } + \item{adjsimp}{ + Adjusted Simplicity: Simplicity adjusted (by regression) for other + variables thought to influence depression. + } + \item{adjfatal}{ + Adjusted Fatalism. + } + \item{adjdep}{ + Adjusted Depression. + } + } + } + +\source{ + Personal communication from Georges Monette, Department of + Mathematics and Statistics, York University, with the permission + of the original investigator. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +Ginzberg +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Greene.Rd r-cran-cardata-3.0.3/man/Greene.Rd --- r-cran-cardata-3.0.2/man/Greene.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Greene.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,79 +1,79 @@ -\name{Greene} -\alias{Greene} -\docType{data} - -\title{Refugee Appeals} - -\description{ -The \code{Greene} data frame has 384 rows and 7 columns. -These are cases filed in 1990, in which refugee claimants rejected -by the Canadian Immigration and Refugee Board asked the Federal -Court of Appeal for leave to appeal the negative ruling of the Board. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{judge}{ - Name of judge hearing case. - A factor with levels: - \code{Desjardins}, \code{Heald}, \code{Hugessen}, \code{Iacobucci}, \code{MacGuigan}, - \code{Mahoney}, \code{Marceau}, \code{Pratte}, \code{Stone}, \code{Urie}. - } - \item{nation}{ - Nation of origin of claimant. - A factor with levels: - \code{Argentina}, \code{Bulgaria}, \code{China}, \code{Czechoslovakia}, - \code{El.Salvador}, \code{Fiji}, \code{Ghana}, \code{Guatemala}, - \code{India}, \code{Iran}, \code{Lebanon}, \code{Nicaragua}, - \code{Nigeria}, \code{Pakistan}, \code{Poland}, \code{Somalia}, - \code{Sri.Lanka}. - } - \item{rater}{ - Judgment of independent rater. - A factor with levels: - \code{no}, case has no merit; - \code{yes}, case has some merit (leave to appeal should be granted). - } - \item{decision}{ - Judge's decision. - A factor with levels: - \code{no}, leave to appeal not granted; - \code{yes}, leave to appeal granted. - } - \item{language}{ - Language of case. - A factor with levels: - \code{English}, - \code{French}. - } - \item{location}{ - Location of original refugee claim. - A factor with levels: - \code{Montreal}, - \code{other}, - \code{Toronto}. - } - \item{success}{ - Logit of success rate, for all cases from the applicant's nation. - } - } - } - - -\source{ - Personal communication from Ian Greene, Department of - Political Science, York University. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - - -\usage{ -Greene -} -\keyword{datasets} +\name{Greene} +\alias{Greene} +\docType{data} + +\title{Refugee Appeals} + +\description{ +The \code{Greene} data frame has 384 rows and 7 columns. +These are cases filed in 1990, in which refugee claimants rejected +by the Canadian Immigration and Refugee Board asked the Federal +Court of Appeal for leave to appeal the negative ruling of the Board. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{judge}{ + Name of judge hearing case. + A factor with levels: + \code{Desjardins}, \code{Heald}, \code{Hugessen}, \code{Iacobucci}, \code{MacGuigan}, + \code{Mahoney}, \code{Marceau}, \code{Pratte}, \code{Stone}, \code{Urie}. + } + \item{nation}{ + Nation of origin of claimant. + A factor with levels: + \code{Argentina}, \code{Bulgaria}, \code{China}, \code{Czechoslovakia}, + \code{El.Salvador}, \code{Fiji}, \code{Ghana}, \code{Guatemala}, + \code{India}, \code{Iran}, \code{Lebanon}, \code{Nicaragua}, + \code{Nigeria}, \code{Pakistan}, \code{Poland}, \code{Somalia}, + \code{Sri.Lanka}. + } + \item{rater}{ + Judgment of independent rater. + A factor with levels: + \code{no}, case has no merit; + \code{yes}, case has some merit (leave to appeal should be granted). + } + \item{decision}{ + Judge's decision. + A factor with levels: + \code{no}, leave to appeal not granted; + \code{yes}, leave to appeal granted. + } + \item{language}{ + Language of case. + A factor with levels: + \code{English}, + \code{French}. + } + \item{location}{ + Location of original refugee claim. + A factor with levels: + \code{Montreal}, + \code{other}, + \code{Toronto}. + } + \item{success}{ + Logit of success rate, for all cases from the applicant's nation. + } + } + } + + +\source{ + Personal communication from Ian Greene, Department of + Political Science, York University. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + + +\usage{ +Greene +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Guyer.Rd r-cran-cardata-3.0.3/man/Guyer.Rd --- r-cran-cardata-3.0.2/man/Guyer.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Guyer.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,55 +1,55 @@ -\name{Guyer} -\alias{Guyer} -\docType{data} - -\title{Anonymity and Cooperation} - -\description{ -The \code{Guyer} data frame has 20 rows and 3 columns. -The data are from an experiment in which four-person groups -played a prisoner's dilemma game for 30 trails, each person -making either a cooperative or competitive choice on each -trial. Choices were made either anonymously or in public; -groups were composed either of females or of males. -The observations are 20 groups. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{cooperation}{ - Number of cooperative choices (out of 120 in all). - } - \item{condition}{ - A factor with levels: - \code{anonymous}, Anonymous choice; - \code{public}, Public choice. - } - \item{sex}{ - Sex. A factor with levels: - \code{female} and - \code{male}. - } - } - } - -\source{ - Fox, J. and Guyer, M. (1978) - Public choice and cooperation in n-person prisoner's dilemma. - \emph{Journal of Conflict Resolution} \bold{22}, 469--481. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - -\usage{ -Guyer -} - -\keyword{datasets} +\name{Guyer} +\alias{Guyer} +\docType{data} + +\title{Anonymity and Cooperation} + +\description{ +The \code{Guyer} data frame has 20 rows and 3 columns. +The data are from an experiment in which four-person groups +played a prisoner's dilemma game for 30 trails, each person +making either a cooperative or competitive choice on each +trial. Choices were made either anonymously or in public; +groups were composed either of females or of males. +The observations are 20 groups. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{cooperation}{ + Number of cooperative choices (out of 120 in all). + } + \item{condition}{ + A factor with levels: + \code{anonymous}, Anonymous choice; + \code{public}, Public choice. + } + \item{sex}{ + Sex. A factor with levels: + \code{female} and + \code{male}. + } + } + } + +\source{ + Fox, J. and Guyer, M. (1978) + Public choice and cooperation in n-person prisoner's dilemma. + \emph{Journal of Conflict Resolution} \bold{22}, 469--481. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2013) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\usage{ +Guyer +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Hartnagel.Rd r-cran-cardata-3.0.3/man/Hartnagel.Rd --- r-cran-cardata-3.0.2/man/Hartnagel.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Hartnagel.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,72 +1,72 @@ -\name{Hartnagel} -\alias{Hartnagel} -\docType{data} - -\title{Canadian Crime-Rates Time Series} - -\description{ -The \code{Hartnagel} data frame has 38 rows and 7 columns. -The data are an annual time-series from 1931 to 1968. There are -some missing data. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{year}{ - 1931--1968. - } - \item{tfr}{ - Total fertility rate per 1000 women. - } - \item{partic}{ - Women's labor-force participation rate per 1000. - } - \item{degrees}{ - Women's post-secondary degree rate per 10,000. - } - \item{fconvict}{ - Female indictable-offense conviction rate per 100,000. - } - \item{ftheft}{ - Female theft conviction rate per 100,000. - } - \item{mconvict}{ - Male indictable-offense conviction rate per 100,000. - } - \item{mtheft}{ - Male theft conviction rate per 100,000. - } - } - } - -\details{ - The post-1948 crime rates have been adjusted to account for - a difference in method of recording. Some of your results will differ - in the last decimal place from those in Table 14.1 of Fox (1997) due - to rounding of the data. Missing values for 1950 were interpolated. -} - - -\source{ - Personal communication from T. Hartnagel, - Department of Sociology, University of Alberta. -} - -\references{ - Fox, J., and Hartnagel, T. F (1979) - Changing social roles and female crime in Canada: - A time series analysis. - \emph{Canadian Review of Sociology and Anthroplogy}, - \bold{16}, 96--104. - - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -Hartnagel -} - -\keyword{datasets} +\name{Hartnagel} +\alias{Hartnagel} +\docType{data} + +\title{Canadian Crime-Rates Time Series} + +\description{ +The \code{Hartnagel} data frame has 38 rows and 7 columns. +The data are an annual time-series from 1931 to 1968. There are +some missing data. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{year}{ + 1931--1968. + } + \item{tfr}{ + Total fertility rate per 1000 women. + } + \item{partic}{ + Women's labor-force participation rate per 1000. + } + \item{degrees}{ + Women's post-secondary degree rate per 10,000. + } + \item{fconvict}{ + Female indictable-offense conviction rate per 100,000. + } + \item{ftheft}{ + Female theft conviction rate per 100,000. + } + \item{mconvict}{ + Male indictable-offense conviction rate per 100,000. + } + \item{mtheft}{ + Male theft conviction rate per 100,000. + } + } + } + +\details{ + The post-1948 crime rates have been adjusted to account for + a difference in method of recording. Some of your results will differ + in the last decimal place from those in Table 14.1 of Fox (1997) due + to rounding of the data. Missing values for 1950 were interpolated. +} + + +\source{ + Personal communication from T. Hartnagel, + Department of Sociology, University of Alberta. +} + +\references{ + Fox, J., and Hartnagel, T. F (1979) + Changing social roles and female crime in Canada: + A time series analysis. + \emph{Canadian Review of Sociology and Anthroplogy}, + \bold{16}, 96--104. + + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +Hartnagel +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Highway1.Rd r-cran-cardata-3.0.3/man/Highway1.Rd --- r-cran-cardata-3.0.2/man/Highway1.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Highway1.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,67 +1,67 @@ -\name{Highway1} -\alias{Highway1} -\docType{data} -\title{Highway Accidents} -\description{ -The data comes from a unpublished master's paper by Carl Hoffstedt. They relate the automobile accident rate, -in accidents per million vehicle miles to several potential terms. The data include 39 sections of large -highways in the state of Minnesota in 1973. The goal of this analysis was to understand the impact -of design variables, \code{Acpts}, \code{Slim}, \code{Sig}, and \code{Shld} that are under the control of -the highway department, on accidents. -} -\format{This data frame contains the following columns: - \describe{ - \item{rate}{ - 1973 accident rate per million vehicle miles - } - \item{len}{ - length of the \code{Highway1} segment in miles - } - \item{adt}{ - average daily traffic count in thousands - } - \item{trks}{ - truck volume as a percent of the total volume - } - \item{sigs1}{ - (number of signalized interchanges per mile times len + 1)/len, the number -of signals per mile of roadway, adjusted to have no zero values. - } - \item{slim}{ - speed limit in 1973 - } - \item{shld}{ - width in feet of outer shoulder on the roadway - } - \item{lane}{ - total number of lanes of traffic - } - \item{acpt}{ - number of access points per mile - } - \item{itg}{ - number of freeway-type interchanges per mile - } - \item{lwid}{ - lane width, in feet - } - \item{htype}{An indicator of the type of roadway or the source of funding - for the road, either MC, FAI, PA, or MA - } - } -} - -\source{Carl Hoffstedt. This differs from the dataset \code{Highway} in the -\code{alr4} package only by addition of transformation of some of the columns.} - -\references{ -Fox, J. and Weisberg, S. (2011) \emph{An R Companion to Applied -Regression}, Second Edition, Sage. - -Weisberg, S. (2014) \emph{Applied Linear Regression}, Fourth Edition, Wiley, Section 7.2. -} - -\usage{ -Highway1 -} -\keyword{datasets} +\name{Highway1} +\alias{Highway1} +\docType{data} +\title{Highway Accidents} +\description{ +The data comes from a unpublished master's paper by Carl Hoffstedt. They relate the automobile accident rate, +in accidents per million vehicle miles to several potential terms. The data include 39 sections of large +highways in the state of Minnesota in 1973. The goal of this analysis was to understand the impact +of design variables, \code{Acpts}, \code{Slim}, \code{Sig}, and \code{Shld} that are under the control of +the highway department, on accidents. +} +\format{This data frame contains the following columns: + \describe{ + \item{rate}{ + 1973 accident rate per million vehicle miles + } + \item{len}{ + length of the \code{Highway1} segment in miles + } + \item{adt}{ + average daily traffic count in thousands + } + \item{trks}{ + truck volume as a percent of the total volume + } + \item{sigs1}{ + (number of signalized interchanges per mile times len + 1)/len, the number +of signals per mile of roadway, adjusted to have no zero values. + } + \item{slim}{ + speed limit in 1973 + } + \item{shld}{ + width in feet of outer shoulder on the roadway + } + \item{lane}{ + total number of lanes of traffic + } + \item{acpt}{ + number of access points per mile + } + \item{itg}{ + number of freeway-type interchanges per mile + } + \item{lwid}{ + lane width, in feet + } + \item{htype}{An indicator of the type of roadway or the source of funding + for the road, either MC, FAI, PA, or MA + } + } +} + +\source{Carl Hoffstedt. This differs from the dataset \code{Highway} in the +\code{alr4} package only by addition of transformation of some of the columns.} + +\references{ +Fox, J. and Weisberg, S. (2019) +\emph{An R Companion to Applied Regression}, Third Edition, Sage. + +Weisberg, S. (2014) \emph{Applied Linear Regression}, Fourth Edition, Wiley, Section 7.2. +} + +\usage{ +Highway1 +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Leinhardt.Rd r-cran-cardata-3.0.3/man/Leinhardt.Rd --- r-cran-cardata-3.0.2/man/Leinhardt.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Leinhardt.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,67 +1,67 @@ -\name{Leinhardt} -\alias{Leinhardt} -\docType{data} - -\title{Data on Infant-Mortality} - -\description{ -The \code{Leinhardt} data frame has 105 rows and 4 columns. -The observations are nations of the world around 1970. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{income}{ - Per-capita income in U. S. dollars. - } - \item{infant}{ - Infant-mortality rate per 1000 live births. - } - \item{region}{ - A factor with levels: - \code{Africa}; - \code{Americas}; - \code{Asia}, Asia and Oceania; - \code{Europe}. - } - \item{oil}{ - Oil-exporting country. - A factor with levels: - \code{no}, - \code{yes}. - } - } - } - -\details{ -The infant-mortality rate for Jamaica is misprinted in - Leinhardt and Wasserman; the correct value is given here. - Some of the values given in Leinhardt and Wasserman do not appear - in the original New York Times table and are of dubious validity. -} - -\source{ - Leinhardt, S. and Wasserman, S. S. (1979) - Exploratory data analysis: An introduction to selected methods. - In Schuessler, K. (Ed.) - \emph{Sociological Methodology 1979} Jossey-Bass. - - \emph{The New York Times}, 28 September 1975, p. E-3, Table 3. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Leinhardt -} -\keyword{datasets} +\name{Leinhardt} +\alias{Leinhardt} +\docType{data} + +\title{Data on Infant-Mortality} + +\description{ +The \code{Leinhardt} data frame has 105 rows and 4 columns. +The observations are nations of the world around 1970. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{income}{ + Per-capita income in U. S. dollars. + } + \item{infant}{ + Infant-mortality rate per 1000 live births. + } + \item{region}{ + A factor with levels: + \code{Africa}; + \code{Americas}; + \code{Asia}, Asia and Oceania; + \code{Europe}. + } + \item{oil}{ + Oil-exporting country. + A factor with levels: + \code{no}, + \code{yes}. + } + } + } + +\details{ +The infant-mortality rate for Jamaica is misprinted in + Leinhardt and Wasserman; the correct value is given here. + Some of the values given in Leinhardt and Wasserman do not appear + in the original New York Times table and are of dubious validity. +} + +\source{ + Leinhardt, S. and Wasserman, S. S. (1979) + Exploratory data analysis: An introduction to selected methods. + In Schuessler, K. (Ed.) + \emph{Sociological Methodology 1979} Jossey-Bass. + + \emph{The New York Times}, 28 September 1975, p. E-3, Table 3. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Leinhardt +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Mandel.Rd r-cran-cardata-3.0.3/man/Mandel.Rd --- r-cran-cardata-3.0.2/man/Mandel.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Mandel.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,44 +1,44 @@ -\name{Mandel} -\alias{Mandel} -\docType{data} - -\title{Contrived Collinear Data} - -\description{ - The \code{Mandel} data frame has 8 rows and 3 columns. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{x1}{ - first predictor. - } - \item{x2}{ - second predictor. - } - \item{y}{ - response. - } - } - } - -\source{ - Mandel, J. (1982) - Use of the singular value decomposition in regression analysis. - \emph{The American Statistician} \bold{36}, 15--24. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - - -\usage{ -Mandel -} - -\keyword{datasets} +\name{Mandel} +\alias{Mandel} +\docType{data} + +\title{Contrived Collinear Data} + +\description{ + The \code{Mandel} data frame has 8 rows and 3 columns. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{x1}{ + first predictor. + } + \item{x2}{ + second predictor. + } + \item{y}{ + response. + } + } + } + +\source{ + Mandel, J. (1982) + Use of the singular value decomposition in regression analysis. + \emph{The American Statistician} \bold{36}, 15--24. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + + +\usage{ +Mandel +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Migration.Rd r-cran-cardata-3.0.3/man/Migration.Rd --- r-cran-cardata-3.0.2/man/Migration.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Migration.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,103 +1,103 @@ -\name{Migration} -\alias{Migration} -\docType{data} - -\title{Canadian Interprovincial Migration Data} - -\description{ -The \code{Migration} data frame has 90 rows and 8 columns. - -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{source}{ - Province of origin (source). - A factor with levels: - \code{ALTA}, Alberta; - \code{BC}, British Columbia; - \code{MAN}, Manitoba; - \code{NB}, New Brunswick; - \code{NFLD}, New Foundland; - \code{NS}, Nova Scotia; - \code{ONT}, Ontario; - \code{PEI}, Prince Edward Island; - \code{QUE}, Quebec; - \code{SASK}, Saskatchewan. - } - \item{destination}{ - Province of destination (1971 residence). - A factor with levels: - \code{ALTA}, Alberta; - \code{BC}, British Columbia; - \code{MAN}, Manitoba; - \code{NB}, New Brunswick; - \code{NFLD}, New Foundland; - \code{NS}, Nova Scotia; - \code{ONT}, Ontario; - \code{PEI}, Prince Edward Island; - \code{QUE}, Quebec; - \code{SASK}, Saskatchewan. - } - \item{migrants}{ - Number of migrants (from source to destination) in the - period 1966--1971. - } - \item{distance}{ - Distance (between principal cities of provinces): - NFLD, St. John; - PEI, Charlottetown; - NS, Halifax; - NB, Fredricton; - QUE, Montreal; - ONT, Toronto; - MAN, Winnipeg; - SASK, Regina; - ALTA, Edmonton; - BC, Vancouver. - } - \item{pops66}{ - 1966 population of source province. - } - \item{pops71}{ - 1971 population of source province. - } - \item{popd66}{ - 1966 population of destination province. - } - \item{popd71}{ - 1971 population of destination province. - } - } - } - -\details{ -There is one record in the data file for each migration stream. You can average the 1966 -and 1971 population figures for each of the source and destination -provinces. -} - -\source{ - Canada (1962) - \emph{Map}. Department of Mines and Technical Surveys. - - Canada (1971) - \emph{Census of Canada}. - Statistics Canada, - Vol. 1, Part 2 [Table 32]. - - Canada (1972) - \emph{Canada Year Book}. Statistics Canada [p. 1369]. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -Migration -} -\keyword{datasets} +\name{Migration} +\alias{Migration} +\docType{data} + +\title{Canadian Interprovincial Migration Data} + +\description{ +The \code{Migration} data frame has 90 rows and 8 columns. + +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{source}{ + Province of origin (source). + A factor with levels: + \code{ALTA}, Alberta; + \code{BC}, British Columbia; + \code{MAN}, Manitoba; + \code{NB}, New Brunswick; + \code{NFLD}, New Foundland; + \code{NS}, Nova Scotia; + \code{ONT}, Ontario; + \code{PEI}, Prince Edward Island; + \code{QUE}, Quebec; + \code{SASK}, Saskatchewan. + } + \item{destination}{ + Province of destination (1971 residence). + A factor with levels: + \code{ALTA}, Alberta; + \code{BC}, British Columbia; + \code{MAN}, Manitoba; + \code{NB}, New Brunswick; + \code{NFLD}, New Foundland; + \code{NS}, Nova Scotia; + \code{ONT}, Ontario; + \code{PEI}, Prince Edward Island; + \code{QUE}, Quebec; + \code{SASK}, Saskatchewan. + } + \item{migrants}{ + Number of migrants (from source to destination) in the + period 1966--1971. + } + \item{distance}{ + Distance (between principal cities of provinces): + NFLD, St. John; + PEI, Charlottetown; + NS, Halifax; + NB, Fredricton; + QUE, Montreal; + ONT, Toronto; + MAN, Winnipeg; + SASK, Regina; + ALTA, Edmonton; + BC, Vancouver. + } + \item{pops66}{ + 1966 population of source province. + } + \item{pops71}{ + 1971 population of source province. + } + \item{popd66}{ + 1966 population of destination province. + } + \item{popd71}{ + 1971 population of destination province. + } + } + } + +\details{ +There is one record in the data file for each migration stream. You can average the 1966 +and 1971 population figures for each of the source and destination +provinces. +} + +\source{ + Canada (1962) + \emph{Map}. Department of Mines and Technical Surveys. + + Canada (1971) + \emph{Census of Canada}. + Statistics Canada, + Vol. 1, Part 2 [Table 32]. + + Canada (1972) + \emph{Canada Year Book}. Statistics Canada [p. 1369]. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +Migration +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Moore.Rd r-cran-cardata-3.0.3/man/Moore.Rd --- r-cran-cardata-3.0.2/man/Moore.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Moore.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,61 +1,61 @@ -\name{Moore} -\alias{Moore} -\docType{data} - -\title{Status, Authoritarianism, and Conformity} - -\description{ -The \code{Moore} data frame has 45 rows and 4 columns. -The data are for subjects in a social-psychological experiment, -who were faced with manipulated disagreement from a partner of either -of low or high status. The subjects could either conform to the -partner's judgment or stick with their own judgment. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{partner.status}{ - Partner's status. A factor with levels: - \code{high}, - \code{low}. - } - \item{conformity}{ - Number of conforming responses in 40 critical trials. - } - \item{fcategory}{ - F-Scale Categorized. - A factor with levels (note levels out of order): - \code{high}, - \code{low}, - \code{medium}. - } - \item{fscore}{ - Authoritarianism: F-Scale score. - } - } - } - -\source{ - Moore, J. C., Jr. and Krupat, E. (1971) - Relationship between source status, authoritarianism and conformity in a - social setting. \emph{Sociometry} \bold{34}, 122--134. - - Personal communication - from J. Moore, Department of Sociology, York University. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Moore -} -\keyword{datasets} +\name{Moore} +\alias{Moore} +\docType{data} + +\title{Status, Authoritarianism, and Conformity} + +\description{ +The \code{Moore} data frame has 45 rows and 4 columns. +The data are for subjects in a social-psychological experiment, +who were faced with manipulated disagreement from a partner of either +of low or high status. The subjects could either conform to the +partner's judgment or stick with their own judgment. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{partner.status}{ + Partner's status. A factor with levels: + \code{high}, + \code{low}. + } + \item{conformity}{ + Number of conforming responses in 40 critical trials. + } + \item{fcategory}{ + F-Scale Categorized. + A factor with levels (note levels out of order): + \code{high}, + \code{low}, + \code{medium}. + } + \item{fscore}{ + Authoritarianism: F-Scale score. + } + } + } + +\source{ + Moore, J. C., Jr. and Krupat, E. (1971) + Relationship between source status, authoritarianism and conformity in a + social setting. \emph{Sociometry} \bold{34}, 122--134. + + Personal communication + from J. Moore, Department of Sociology, York University. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Moore +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Mroz.Rd r-cran-cardata-3.0.3/man/Mroz.Rd --- r-cran-cardata-3.0.2/man/Mroz.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Mroz.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,61 +1,61 @@ -\name{Mroz} -\alias{Mroz} -\docType{data} - -\title{U.S. Women's Labor-Force Participation} -\usage{Mroz} -\description{ -The \code{Mroz} data frame has 753 rows and 8 columns. -The observations, from the Panel Study of Income Dynamics (PSID), -are married women. - -} -\format{ - This data frame contains the following columns: - \describe{ - \item{lfp}{labor-force participation; a factor with levels: - \code{no}; - \code{yes}. - } - \item{k5}{number of children 5 years old or younger.} - \item{k618}{number of children 6 to 18 years old.} - \item{age}{in years.} - \item{wc}{wife's college attendance; a factor with levels: - \code{no}; - \code{yes}. - } - \item{hc}{husband's college attendance; a factor with levels: - \code{no}; - \code{yes}. - } - \item{lwg}{log expected wage rate; for women in the labor force, the actual - wage rate; for women not in the labor force, an imputed value based on the - regression of \code{lwg} on the other variables.} - \item{inc}{family income exclusive of wife's income.} - } -} - -\source{ - Mroz, T. A. (1987) - The sensitivity of an empirical model of married women's hours of work to - economic and statistical assumptions. - \emph{Econometrica} \bold{55}, 765--799. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. (2000) - \emph{Multiple and Generalized Nonparametric Regression.} Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. - - Long. J. S. (1997) - \emph{Regression Models for Categorical and Limited Dependent Variables.} - Sage. -} - -\keyword{datasets} +\name{Mroz} +\alias{Mroz} +\docType{data} + +\title{U.S. Women's Labor-Force Participation} +\usage{Mroz} +\description{ +The \code{Mroz} data frame has 753 rows and 8 columns. +The observations, from the Panel Study of Income Dynamics (PSID), +are married women. + +} +\format{ + This data frame contains the following columns: + \describe{ + \item{lfp}{labor-force participation; a factor with levels: + \code{no}; + \code{yes}. + } + \item{k5}{number of children 5 years old or younger.} + \item{k618}{number of children 6 to 18 years old.} + \item{age}{in years.} + \item{wc}{wife's college attendance; a factor with levels: + \code{no}; + \code{yes}. + } + \item{hc}{husband's college attendance; a factor with levels: + \code{no}; + \code{yes}. + } + \item{lwg}{log expected wage rate; for women in the labor force, the actual + wage rate; for women not in the labor force, an imputed value based on the + regression of \code{lwg} on the other variables.} + \item{inc}{family income exclusive of wife's income.} + } +} + +\source{ + Mroz, T. A. (1987) + The sensitivity of an empirical model of married women's hours of work to + economic and statistical assumptions. + \emph{Econometrica} \bold{55}, 765--799. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. (2000) + \emph{Multiple and Generalized Nonparametric Regression.} Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. + + Long. J. S. (1997) + \emph{Regression Models for Categorical and Limited Dependent Variables.} + Sage. +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Ornstein.Rd r-cran-cardata-3.0.3/man/Ornstein.Rd --- r-cran-cardata-3.0.2/man/Ornstein.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Ornstein.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,71 +1,71 @@ -\name{Ornstein} -\alias{Ornstein} -\docType{data} -\title{Interlocking Directorates Among Major Canadian Firms} - -\description{ -The \code{Ornstein} data frame has 248 rows and 4 columns. -The observations are the 248 largest Canadian firms with -publicly available information in the mid-1970s. The names -of the firms were not available. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{assets}{ - Assets in millions of dollars. - } - \item{sector}{ - Industrial sector. - A factor with levels: - \code{AGR}, agriculture, food, light industry; - \code{BNK}, banking; - \code{CON}, construction; - \code{FIN}, other financial; - \code{HLD}, holding companies; - \code{MAN}, heavy manufacturing; - \code{MER}, merchandizing; - \code{MIN}, mining, metals, etc.; - \code{TRN}, transport; - \code{WOD}, wood and paper. - } - \item{nation}{ - Nation of control. - A factor with levels: - \code{CAN}, Canada; - \code{OTH}, other foreign; - \code{UK}, Britain; - \code{US}, United States. - } - \item{interlocks}{ - Number of interlocking director and executive positions shared with - other major firms. - } - } - } - -\source{ - Ornstein, M. (1976) - The boards and executives of the largest Canadian corporations. - \emph{Canadian Journal of Sociology} \bold{1}, 411--437. - - Personal communication from M. Ornstein, Department of Sociology, - York University. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Ornstein -} - -\keyword{datasets} +\name{Ornstein} +\alias{Ornstein} +\docType{data} +\title{Interlocking Directorates Among Major Canadian Firms} + +\description{ +The \code{Ornstein} data frame has 248 rows and 4 columns. +The observations are the 248 largest Canadian firms with +publicly available information in the mid-1970s. The names +of the firms were not available. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{assets}{ + Assets in millions of dollars. + } + \item{sector}{ + Industrial sector. + A factor with levels: + \code{AGR}, agriculture, food, light industry; + \code{BNK}, banking; + \code{CON}, construction; + \code{FIN}, other financial; + \code{HLD}, holding companies; + \code{MAN}, heavy manufacturing; + \code{MER}, merchandizing; + \code{MIN}, mining, metals, etc.; + \code{TRN}, transport; + \code{WOD}, wood and paper. + } + \item{nation}{ + Nation of control. + A factor with levels: + \code{CAN}, Canada; + \code{OTH}, other foreign; + \code{UK}, Britain; + \code{US}, United States. + } + \item{interlocks}{ + Number of interlocking director and executive positions shared with + other major firms. + } + } + } + +\source{ + Ornstein, M. (1976) + The boards and executives of the largest Canadian corporations. + \emph{Canadian Journal of Sociology} \bold{1}, 411--437. + + Personal communication from M. Ornstein, Department of Sociology, + York University. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Ornstein +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Prestige.Rd r-cran-cardata-3.0.3/man/Prestige.Rd --- r-cran-cardata-3.0.2/man/Prestige.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Prestige.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,64 +1,64 @@ -\name{Prestige} -\alias{Prestige} -\docType{data} - -\title{Prestige of Canadian Occupations} - -\description{ -The \code{Prestige} data frame has 102 rows and 6 columns. -The observations are occupations. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{education}{ - Average education of occupational incumbents, years, in 1971. - } - \item{income}{ - Average income of incumbents, dollars, in 1971. - } - \item{women}{ - Percentage of incumbents who are women. - } - \item{prestige}{ - Pineo-Porter prestige score for occupation, from a social survey - conducted in the mid-1960s. - } - \item{census}{ - Canadian Census occupational code. - } - \item{type}{ - Type of occupation. - A factor with levels (note: out of order): - \code{bc}, Blue Collar; - \code{prof}, Professional, Managerial, and Technical; - \code{wc}, White Collar. - } - } - } - -\source{ - Canada (1971) - \emph{Census of Canada}. Vol. 3, Part 6. Statistics Canada [pp. 19-1--19-21]. - - Personal communication from B. Blishen, W. Carroll, and - C. Moore, Departments of Sociology, York University and - University of Victoria. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Prestige -} - -\keyword{datasets} +\name{Prestige} +\alias{Prestige} +\docType{data} + +\title{Prestige of Canadian Occupations} + +\description{ +The \code{Prestige} data frame has 102 rows and 6 columns. +The observations are occupations. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{education}{ + Average education of occupational incumbents, years, in 1971. + } + \item{income}{ + Average income of incumbents, dollars, in 1971. + } + \item{women}{ + Percentage of incumbents who are women. + } + \item{prestige}{ + Pineo-Porter prestige score for occupation, from a social survey + conducted in the mid-1960s. + } + \item{census}{ + Canadian Census occupational code. + } + \item{type}{ + Type of occupation. + A factor with levels (note: out of order): + \code{bc}, Blue Collar; + \code{prof}, Professional, Managerial, and Technical; + \code{wc}, White Collar. + } + } + } + +\source{ + Canada (1971) + \emph{Census of Canada}. Vol. 3, Part 6. Statistics Canada [pp. 19-1--19-21]. + + Personal communication from B. Blishen, W. Carroll, and + C. Moore, Departments of Sociology, York University and + University of Victoria. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Prestige +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Robey.Rd r-cran-cardata-3.0.3/man/Robey.Rd --- r-cran-cardata-3.0.2/man/Robey.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Robey.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,47 +1,47 @@ -\name{Robey} -\alias{Robey} -\docType{data} - -\title{Fertility and Contraception} - -\description{ -The \code{Robey} data frame has 50 rows and 3 columns. -The observations are developing nations around 1990. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{region}{ - A factor with levels: - \code{Africa}; - \code{Asia}, Asia and Pacific; - \code{Latin.Amer}, Latin America and Caribbean; - \code{Near.East}, Near East and North Africa. - } - \item{tfr}{ - Total fertility rate (children per woman). - } - \item{contraceptors}{ - Percent of contraceptors among married women of childbearing age. - } - } - } - -\source{ - Robey, B., Shea, M. A., Rutstein, O. and Morris, L. (1992) - The reproductive revolution: New survey findings. - \emph{Population Reports}. Technical Report M-11. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - - -\usage{ -Robey -} -\keyword{datasets} +\name{Robey} +\alias{Robey} +\docType{data} + +\title{Fertility and Contraception} + +\description{ +The \code{Robey} data frame has 50 rows and 3 columns. +The observations are developing nations around 1990. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{region}{ + A factor with levels: + \code{Africa}; + \code{Asia}, Asia and Pacific; + \code{Latin.Amer}, Latin America and Caribbean; + \code{Near.East}, Near East and North Africa. + } + \item{tfr}{ + Total fertility rate (children per woman). + } + \item{contraceptors}{ + Percent of contraceptors among married women of childbearing age. + } + } + } + +\source{ + Robey, B., Shea, M. A., Rutstein, O. and Morris, L. (1992) + The reproductive revolution: New survey findings. + \emph{Population Reports}. Technical Report M-11. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + + +\usage{ +Robey +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Sahlins.Rd r-cran-cardata-3.0.3/man/Sahlins.Rd --- r-cran-cardata-3.0.2/man/Sahlins.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Sahlins.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,42 +1,42 @@ -\name{Sahlins} -\alias{Sahlins} -\docType{data} - -\title{Agricultural Production in Mazulu Village} - -\description{ -The \code{Sahlins} data frame has 20 rows and 2 columns. -The observations are households in a Central African village. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{consumers}{ - Consumers/Gardener, ratio of consumers to productive individuals. - } - \item{acres}{ - Acres/Gardener, amount of land cultivated per gardener. - } - } - } - -\source{ - Sahlins, M. (1972) - \emph{Stone Age Economics.} - Aldine - [Table 3.1]. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - - -\usage{ -Sahlins -} - -\keyword{datasets} +\name{Sahlins} +\alias{Sahlins} +\docType{data} + +\title{Agricultural Production in Mazulu Village} + +\description{ +The \code{Sahlins} data frame has 20 rows and 2 columns. +The observations are households in a Central African village. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{consumers}{ + Consumers/Gardener, ratio of consumers to productive individuals. + } + \item{acres}{ + Acres/Gardener, amount of land cultivated per gardener. + } + } + } + +\source{ + Sahlins, M. (1972) + \emph{Stone Age Economics.} + Aldine + [Table 3.1]. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + + +\usage{ +Sahlins +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Salaries.Rd r-cran-cardata-3.0.3/man/Salaries.Rd --- r-cran-cardata-3.0.2/man/Salaries.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Salaries.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,37 +1,36 @@ -\name{Salaries} -\Rdversion{1.1} -\alias{Salaries} -\docType{data} -\title{ -Salaries for Professors -} - -\description{ -The 2008-09 nine-month academic -salary for Assistant Professors, Associate Professors and Professors in a -college in the U.S. The data were collected as part of the -on-going effort of the college's administration to monitor salary differences -between male and female faculty members. -} - -\usage{Salaries} -\format{ - A data frame with 397 observations on the following 6 variables. - \describe{ - \item{\code{rank}}{a factor with levels \code{AssocProf} \code{AsstProf} \code{Prof}} - \item{\code{discipline}}{a factor with levels \code{A} (``theoretical'' departments) - or \code{B} (``applied'' departments).} - \item{\code{yrs.since.phd}}{years since PhD.} - \item{\code{yrs.service}}{years of service.} - \item{\code{sex}}{a factor with levels \code{Female} \code{Male}} - \item{\code{salary}}{nine-month salary, in dollars.} - } -} - -\references{ - Fox J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition - Sage. -} - -\keyword{datasets} +\name{Salaries} +\Rdversion{1.1} +\alias{Salaries} +\docType{data} +\title{ +Salaries for Professors +} + +\description{ +The 2008-09 nine-month academic +salary for Assistant Professors, Associate Professors and Professors in a +college in the U.S. The data were collected as part of the +on-going effort of the college's administration to monitor salary differences +between male and female faculty members. +} + +\usage{Salaries} +\format{ + A data frame with 397 observations on the following 6 variables. + \describe{ + \item{\code{rank}}{a factor with levels \code{AssocProf} \code{AsstProf} \code{Prof}} + \item{\code{discipline}}{a factor with levels \code{A} (``theoretical'' departments) + or \code{B} (``applied'' departments).} + \item{\code{yrs.since.phd}}{years since PhD.} + \item{\code{yrs.service}}{years of service.} + \item{\code{sex}}{a factor with levels \code{Female} \code{Male}} + \item{\code{salary}}{nine-month salary, in dollars.} + } +} + +\references{ + Fox J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/SLID.Rd r-cran-cardata-3.0.3/man/SLID.Rd --- r-cran-cardata-3.0.2/man/SLID.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/SLID.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,56 +1,56 @@ -\name{SLID} -\alias{SLID} -\docType{data} -\title{Survey of Labour and Income Dynamics} -\description{ -The \code{SLID} data frame has 7425 rows and 5 columns. -The data are from the 1994 wave of the Canadian Survey of Labour and Income Dynamics, -for the province of Ontario. -There are missing data, particularly for wages. -} -\format{ -This data frame contains the following columns: -\describe{ -\item{wages}{ -Composite hourly wage rate from all jobs. -} -\item{education}{ -Number of years of schooling. -} -\item{age}{ -in years. -} -\item{sex}{ -A factor with levels: -\code{Female}, -\code{Male}. -} -\item{language}{ -A factor with levels: -\code{English}, -\code{French}, -\code{Other}. -} -} -} - - -\source{ - The data are taken from the public-use dataset made available by - Statistics Canada, and prepared by the Institute for Social Research, - York University. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - -\usage{ -SLID -} -\keyword{datasets} +\name{SLID} +\alias{SLID} +\docType{data} +\title{Survey of Labour and Income Dynamics} +\description{ +The \code{SLID} data frame has 7425 rows and 5 columns. +The data are from the 1994 wave of the Canadian Survey of Labour and Income Dynamics, +for the province of Ontario. +There are missing data, particularly for wages. +} +\format{ +This data frame contains the following columns: +\describe{ +\item{wages}{ +Composite hourly wage rate from all jobs. +} +\item{education}{ +Number of years of schooling. +} +\item{age}{ +in years. +} +\item{sex}{ +A factor with levels: +\code{Female}, +\code{Male}. +} +\item{language}{ +A factor with levels: +\code{English}, +\code{French}, +\code{Other}. +} +} +} + + +\source{ + The data are taken from the public-use dataset made available by + Statistics Canada, and prepared by the Institute for Social Research, + York University. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\usage{ +SLID +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Transact.Rd r-cran-cardata-3.0.3/man/Transact.Rd --- r-cran-cardata-3.0.2/man/Transact.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Transact.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,35 +1,35 @@ -\name{Transact} -\alias{Transact} -\docType{data} -\title{Transaction data} -\description{ -Data on transaction times in branch offices of a large Australian bank. -} -\format{This data frame contains the following columns: - \describe{ - \item{t1}{ - number of type 1 transactions - } - \item{t2}{ - number of type 2 transactions - } - \item{time}{ - total transaction time, minutes - } - } -} - -\source{ -Cunningham, R. and Heathcote, C. -(1989), Estimating a non-Gaussian regression model with multicollinearity. -Australian Journal of Statistics, 31,12-17.} -\references{ -Fox, J. and Weisberg, S. (2011) -\emph{An R Companion to Applied Regression}, Second Edition, Sage. - -Weisberg, S. (2014) \emph{Applied Linear Regression}, Fourth Edition, Wiley, Section 4.6.1. -} -\usage{ -Transact -} -\keyword{datasets} +\name{Transact} +\alias{Transact} +\docType{data} +\title{Transaction data} +\description{ +Data on transaction times in branch offices of a large Australian bank. +} +\format{This data frame contains the following columns: + \describe{ + \item{t1}{ + number of type 1 transactions + } + \item{t2}{ + number of type 2 transactions + } + \item{time}{ + total transaction time, minutes + } + } +} + +\source{ +Cunningham, R. and Heathcote, C. +(1989), Estimating a non-Gaussian regression model with multicollinearity. +Australian Journal of Statistics, 31,12-17.} +\references{ +Fox, J. and Weisberg, S. (2019) +\emph{An R Companion to Applied Regression}, Third Edition, Sage. + +Weisberg, S. (2014) \emph{Applied Linear Regression}, Fourth Edition, Wiley, Section 4.6.1. +} +\usage{ +Transact +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/UN.Rd r-cran-cardata-3.0.3/man/UN.Rd --- r-cran-cardata-3.0.2/man/UN.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/UN.Rd 2019-11-16 15:55:16.000000000 +0000 @@ -1,50 +1,50 @@ -\name{UN} -\alias{UN} -\docType{data} -\title{ -National Statistics from the United Nations, Mostly From 2009--2011 -} -\description{ -National health, welfare, and education statistics for 213 -places, mostly UN members, but also other areas like Hong Kong that are not -independent countries. -} -\usage{data(UN)} -\format{ - A data frame with 213 rows on the following 7 variables. - \describe{ - \item{\code{region}}{Region of the world: \code{Africa}, \code{Asia}, \code{Caribbean}, \code{Europe}, - \code{Latin Amer}, \code{North America}, \code{NorthAtlantic}, \code{Oceania}.} - \item{\code{group}}{A factor with levels \code{oecd} for countries that -are members of the OECD, the Organization for Economic Co-operation and -Development, as of May 2012, \code{africa} for countries on the African -continent, and \code{other} for all other countries. No OECD countries are -located in Africa.} - \item{\code{fertility}}{Total fertility rate, number of children per woman.} - \item{\code{ppgdp}}{Per capita gross domestic product in US dollars.} - \item{\code{lifeExpF}}{Female life expectancy, years.} - \item{\code{pctUrban}}{Percent urban.} - \item{\code{infantMortality}}{Infant deaths by age 1 year per 1000 live births} - } -} - -\source{ -All data were collected from UN tables accessed at \url{http://unstats.un.org/unsd/demographic/products/socind/} -on April 23, 2012. OECD membership is from \url{www.oecd.org}, accessed -May 25, 2012. -} - -\note{ -Similar data, from the period 2000-2003, appear in the \code{alr3} package -under the name \code{UN3}. -This data set was formerly named \code{UNlla} and replaces the older dataset named \code{UN}. -} - -\references{ -Weisberg, S. (2014). \emph{Applied Linear Regression}, 4th edition. -Hoboken NJ: Wiley. -} -\examples{ -summary(UN) -} -\keyword{datasets} +\name{UN} +\alias{UN} +\docType{data} +\title{ +National Statistics from the United Nations, Mostly From 2009--2011 +} +\description{ +National health, welfare, and education statistics for 213 +places, mostly UN members, but also other areas like Hong Kong that are not +independent countries. +} +\usage{data(UN)} +\format{ + A data frame with 213 rows on the following 7 variables. + \describe{ + \item{\code{region}}{Region of the world: \code{Africa}, \code{Asia}, \code{Caribbean}, \code{Europe}, + \code{Latin Amer}, \code{North America}, \code{NorthAtlantic}, \code{Oceania}.} + \item{\code{group}}{A factor with levels \code{oecd} for countries that +are members of the OECD, the Organization for Economic Co-operation and +Development, as of May 2012, \code{africa} for countries on the African +continent, and \code{other} for all other countries. No OECD countries are +located in Africa.} + \item{\code{fertility}}{Total fertility rate, number of children per woman.} + \item{\code{ppgdp}}{Per capita gross domestic product in US dollars.} + \item{\code{lifeExpF}}{Female life expectancy, years.} + \item{\code{pctUrban}}{Percent urban.} + \item{\code{infantMortality}}{Infant deaths by age 1 year per 1000 live births} + } +} + +\source{ +All data were collected from UN tables accessed at \url{http://unstats.un.org/unsd/demographic/products/socind/} +on April 23, 2012. OECD membership is from \url{https://www.oecd.org/}, accessed +May 25, 2012. +} + +\note{ +Similar data, from the period 2000-2003, appear in the \code{alr3} package +under the name \code{UN3}. +This data set was formerly named \code{UNlla} and replaces the older dataset named \code{UN}. +} + +\references{ +Weisberg, S. (2014). \emph{Applied Linear Regression}, 4th edition. +Hoboken NJ: Wiley. +} +\examples{ +summary(UN) +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/USPop.Rd r-cran-cardata-3.0.3/man/USPop.Rd --- r-cran-cardata-3.0.2/man/USPop.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/USPop.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,38 +1,38 @@ -\name{USPop} -\alias{USPop} -\docType{data} - -\title{Population of the United States} - -\description{ - The \code{USPop} data frame has 22 rows and 1 columns. - This is a decennial time-series, from 1790 to 2000. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{year}{ - census year. - } - \item{population}{ - Population in millions. - } - } - } - -\source{ -U.S.~Census Bureau: \url{http://www.census-charts.com/Population/pop-us-1790-2000.html}, downloaded 1 May 2008. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. -} - -\usage{ -USPop -} - -\keyword{datasets} +\name{USPop} +\alias{USPop} +\docType{data} + +\title{Population of the United States} + +\description{ + The \code{USPop} data frame has 22 rows and 1 columns. + This is a decennial time-series, from 1790 to 2000. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{year}{ + census year. + } + \item{population}{ + Population in millions. + } + } + } + +\source{ +U.S.~Census Bureau: \url{http://www.census-charts.com/Population/pop-us-1790-2000.html}, downloaded 1 May 2008. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. +} + +\usage{ +USPop +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Vocab.Rd r-cran-cardata-3.0.3/man/Vocab.Rd --- r-cran-cardata-3.0.2/man/Vocab.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Vocab.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,46 +1,46 @@ -\name{Vocab} -\alias{Vocab} -\docType{data} - -\title{Vocabulary and Education} - -\description{ -The \code{Vocab} data frame has 30,351 rows and 4 columns. -The observations are respondents to U.S. General Social Surveys, 1972-2016. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{year}{Year of the survey.} - \item{sex}{Sex of the respondent, \code{Female} or \code{Male}.} - \item{education}{ - Education, in years. - } - \item{vocabulary}{ - Vocabulary test score: number correct on a 10-word test. - } - } - } - -\source{ - National Opinion Research Center - \emph{General Social Survey.} - GSS Cumulative Datafile 1972-2016, downloaded from \url{http://gss.norc.org/}. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - - -\usage{ -Vocab -} - -\keyword{datasets} +\name{Vocab} +\alias{Vocab} +\docType{data} + +\title{Vocabulary and Education} + +\description{ +The \code{Vocab} data frame has 30,351 rows and 4 columns. +The observations are respondents to U.S. General Social Surveys, 1972-2016. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{year}{Year of the survey.} + \item{sex}{Sex of the respondent, \code{Female} or \code{Male}.} + \item{education}{ + Education, in years. + } + \item{vocabulary}{ + Vocabulary test score: number correct on a 10-word test. + } + } + } + +\source{ + National Opinion Research Center + \emph{General Social Survey.} + GSS Cumulative Datafile 1972-2016, downloaded from \url{http://gss.norc.org/}. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + + +\usage{ +Vocab +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Womenlf.Rd r-cran-cardata-3.0.3/man/Womenlf.Rd --- r-cran-cardata-3.0.2/man/Womenlf.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Womenlf.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,60 +1,60 @@ -\name{Womenlf} -\alias{Womenlf} -\docType{data} - -\title{Canadian Women's Labour-Force Participation} - -\description{ - The \code{Womenlf} data frame has 263 rows and 4 columns. - The data are from a 1977 survey of the Canadian population. -} - -\format{ - This data frame contains the following columns: - \describe{ - \item{partic}{ - Labour-Force Participation. - A factor with levels (note: out of order): - \code{fulltime}, Working full-time; - \code{not.work}, Not working outside the home; - \code{parttime}, Working part-time. - } - \item{hincome}{ - Husband's income, $1000s. - } - \item{children}{ - Presence of children in the household. - A factor with levels: - \code{absent}, - \code{present}. - } - \item{region}{ - A factor with levels: - \code{Atlantic}, Atlantic Canada; - \code{BC}, British Columbia; - \code{Ontario}; - \code{Prairie}, Prairie provinces; - \code{Quebec}. - } - } - } - -\source{ - \emph{Social Change in Canada Project.} York Institute for - Social Research. -} - -\references{ - Fox, J. (2008) - \emph{Applied Regression Analysis and Generalized Linear Models}, - Second Edition. Sage. - - Fox, J. and Weisberg, S. (2011) - \emph{An R Companion to Applied Regression}, Second Edition, Sage. -} - -\usage{ -Womenlf -} - -\keyword{datasets} +\name{Womenlf} +\alias{Womenlf} +\docType{data} + +\title{Canadian Women's Labour-Force Participation} + +\description{ + The \code{Womenlf} data frame has 263 rows and 4 columns. + The data are from a 1977 survey of the Canadian population. +} + +\format{ + This data frame contains the following columns: + \describe{ + \item{partic}{ + Labour-Force Participation. + A factor with levels (note: out of order): + \code{fulltime}, Working full-time; + \code{not.work}, Not working outside the home; + \code{parttime}, Working part-time. + } + \item{hincome}{ + Husband's income, $1000s. + } + \item{children}{ + Presence of children in the household. + A factor with levels: + \code{absent}, + \code{present}. + } + \item{region}{ + A factor with levels: + \code{Atlantic}, Atlantic Canada; + \code{BC}, British Columbia; + \code{Ontario}; + \code{Prairie}, Prairie provinces; + \code{Quebec}. + } + } + } + +\source{ + \emph{Social Change in Canada Project.} York Institute for + Social Research. +} + +\references{ + Fox, J. (2016) + \emph{Applied Regression Analysis and Generalized Linear Models}, + Third Edition. Sage. + + Fox, J. and Weisberg, S. (2019) + \emph{An R Companion to Applied Regression}, Third Edition, Sage. +} + +\usage{ +Womenlf +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Wong.Rd r-cran-cardata-3.0.3/man/Wong.Rd --- r-cran-cardata-3.0.2/man/Wong.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Wong.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,47 +1,49 @@ -\name{Wong} -\alias{Wong} -\docType{data} -\title{ -Post-Coma Recovery of IQ -} - -\description{ -The \code{Wong} data frame has 331 row and 7 columns. The observations are longitudinal -data on recovery of IQ after comas of varying duration for 200 subjects. -} - -\usage{Wong} - -\format{ - This data frame contains the following columns: - \describe{ - \item{\code{id}}{patient ID number.} - \item{\code{days}}{number of days post coma at which IQs were measured.} - \item{\code{duration}}{duration of the coma in days.} - \item{\code{sex}}{a factor with levels \code{Female} and \code{Male}.} - \item{\code{age}}{in years at the time of injury.} - \item{\code{piq}}{performance (i.e., mathematical) IQ.} - \item{\code{viq}}{verbal IQ.} - } -} - -\details{ -The data are from Wong, Monette, and Weiner (2001) and are for 200 patients who sustained traumatic brain -injuries resulting in comas of varying duration. After -awakening from their comas, patients were periodically administered a standard IQ test, but the average -number of measurements per patient is small (331/200 = 1.7). -} - -\source{ -Wong, P. P., Monette, G., and Weiner, N. I. (2001) Mathematical models of cognitive recovery. \emph{Brain Injury}, \bold{15}, 519--530. -} - -\references{ -Fox, J. (2016) \emph{Applied Regression Analysis and Generalized Linear Models}, Third Edition. Sage. -} - -\examples{ -summary(Wong) -} - -\keyword{datasets} +\name{Wong} +\alias{Wong} +\docType{data} +\title{ +Post-Coma Recovery of IQ +} + +\description{ +The \code{Wong} data frame has 331 row and 7 columns. The observations are longitudinal +data on recovery of IQ after comas of varying duration for 200 subjects. +} + +\usage{Wong} + +\format{ + This data frame contains the following columns: + \describe{ + \item{\code{id}}{patient ID number.} + \item{\code{days}}{number of days post coma at which IQs were measured.} + \item{\code{duration}}{duration of the coma in days.} + \item{\code{sex}}{a factor with levels \code{Female} and \code{Male}.} + \item{\code{age}}{in years at the time of injury.} + \item{\code{piq}}{performance (i.e., mathematical) IQ.} + \item{\code{viq}}{verbal IQ.} + } +} + +\details{ +The data are from Wong, Monette, and Weiner (2001) and are for 200 patients who sustained traumatic brain +injuries resulting in comas of varying duration. After +awakening from their comas, patients were periodically administered a standard IQ test, but the average +number of measurements per patient is small (331/200 = 1.7). +} + +\source{ +Wong, P. P., Monette, G., and Weiner, N. I. (2001) Mathematical models of cognitive recovery. \emph{Brain Injury}, \bold{15}, 519--530. +} + +\references{ +Fox, J. (2016) +\emph{Applied Regression Analysis and Generalized Linear Models}, +Third Edition. Sage. +} + +\examples{ +summary(Wong) +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.2/man/Wool.Rd r-cran-cardata-3.0.3/man/Wool.Rd --- r-cran-cardata-3.0.2/man/Wool.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.3/man/Wool.Rd 2019-11-15 15:49:38.000000000 +0000 @@ -1,40 +1,40 @@ -\name{Wool} -\alias{Wool} -\docType{data} -\title{Wool data} -\description{ -This is a three-factor experiment with each factor at three levels, for -a total of 27 runs. Samples of worsted yarn were with different levels of -the three factors were given a cyclic load until the sample failed. The -goal is to understand how cycles to failure depends on the factors. -} -\format{This data frame contains the following columns: - \describe{ - \item{len}{ - length of specimen (250, 300, 350 mm) - } - \item{amp}{ - amplitude of loading cycle (8, 9, 10 min) - } - \item{load}{ - load (40, 45, 50g) - } - \item{cycles}{ - number of cycles until failure - } - } -} - -\source{ -Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations (with -discussion). \emph{J. Royal Statist. Soc.}, B26, 211-46.} -\references{ -Fox, J. and Weisberg, S. (2011) -\emph{An R Companion to Applied Regression}, Second Edition, Sage. - -Weisberg, S. (2014) \emph{Applied Linear Regression}, Fourth Edition, Wiley, Section 6.3. -} -\usage{ -Wool -} -\keyword{datasets} +\name{Wool} +\alias{Wool} +\docType{data} +\title{Wool data} +\description{ +This is a three-factor experiment with each factor at three levels, for +a total of 27 runs. Samples of worsted yarn were with different levels of +the three factors were given a cyclic load until the sample failed. The +goal is to understand how cycles to failure depends on the factors. +} +\format{This data frame contains the following columns: + \describe{ + \item{len}{ + length of specimen (250, 300, 350 mm) + } + \item{amp}{ + amplitude of loading cycle (8, 9, 10 min) + } + \item{load}{ + load (40, 45, 50g) + } + \item{cycles}{ + number of cycles until failure + } + } +} + +\source{ +Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations (with +discussion). \emph{J. Royal Statist. Soc.}, B26, 211-46.} +\references{ +Fox, J. and Weisberg, S. (2019) +\emph{An R Companion to Applied Regression}, Third Edition, Sage. + +Weisberg, S. 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+54add8e73c859d15c285af45d5e7dd56 *man/Womenlf.Rd +3e9dbd6c80967eb75f2246084516bab6 *man/Wong.Rd +809de795fe86532cc69eb3fd3c568c3c *man/Wool.Rd diff -Nru r-cran-cardata-3.0.2/NEWS r-cran-cardata-3.0.3/NEWS --- r-cran-cardata-3.0.2/NEWS 2018-09-28 16:36:37.000000000 +0000 +++ r-cran-cardata-3.0.3/NEWS 2019-11-15 15:49:38.000000000 +0000 @@ -1,21 +1,25 @@ -Version 3.0-2 - -o Added Rossi recidivism, 2011 Canadian National Election Study, and UN 1998 social indicators data sets. - -Version 3.0-1 - -o Replaced Adler data set with full version of the data. - -o Added MplsDemo and MplsStops data sets. - -o Renumbered and reordered rows of Blackmore data set. - -Initial Version 3.0-0 - -o Changed level names in Guyer data frame. - -o Data sets moved from the car package and effects package. - -o Updated the Vocab data set. - -o Replaced UN data set with what used to be UN11a; removed the latter. +Version 3.0-3 + +o Update references in docs and DESCRIPTION. + +Version 3.0-2 + +o Added Rossi recidivism, 2011 Canadian National Election Study, and UN 1998 social indicators data sets. + +Version 3.0-1 + +o Replaced Adler data set with full version of the data. + +o Added MplsDemo and MplsStops data sets. + +o Renumbered and reordered rows of Blackmore data set. + +Initial Version 3.0-0 + +o Changed level names in Guyer data frame. + +o Data sets moved from the car package and effects package. + +o Updated the Vocab data set. + +o Replaced UN data set with what used to be UN11a; removed the latter.