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r-cran-cardata-3.0.5/debian/compat 1970-01-01 00:00:00.000000000 +0000 @@ -1 +0,0 @@ -9 diff -Nru r-cran-cardata-3.0.4/debian/control r-cran-cardata-3.0.5/debian/control --- r-cran-cardata-3.0.4/debian/control 2020-05-16 02:16:47.000000000 +0000 +++ r-cran-cardata-3.0.5/debian/control 2022-02-05 16:05:16.000000000 +0000 @@ -2,8 +2,8 @@ Section: gnu-r Priority: optional Maintainer: Dirk Eddelbuettel -Build-Depends: debhelper (>= 10), r-base-dev (>= 4.0.0), dh-r -Standards-Version: 4.5.0 +Build-Depends: debhelper-compat (= 11), r-base-dev (>= 4.1.2), dh-r +Standards-Version: 4.6.0 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-3.0.4/debian/watch r-cran-cardata-3.0.5/debian/watch --- r-cran-cardata-3.0.4/debian/watch 2019-11-21 02:49:28.000000000 +0000 +++ r-cran-cardata-3.0.5/debian/watch 2022-02-05 16:05:16.000000000 +0000 @@ -1,2 +1,2 @@ version=3 -http://cran.r-project.org/src/contrib/carData_([-\d\.]*)\.tar.gz +opts="uversionmangle=s/-/\./" https://cran.r-project.org/src/contrib/carData_([-\d\.]*)\.tar.gz diff -Nru r-cran-cardata-3.0.4/DESCRIPTION r-cran-cardata-3.0.5/DESCRIPTION --- r-cran-cardata-3.0.4/DESCRIPTION 2020-05-22 23:30:02.000000000 +0000 +++ r-cran-cardata-3.0.5/DESCRIPTION 2022-01-06 00:20:07.000000000 +0000 @@ -1,11 +1,12 @@ Package: carData -Version: 3.0-4 -Date: 2020-04-11 +Version: 3.0-5 +Date: 2022-01-05 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"), person("Brad", "Price", role = "aut", email = "brad.price@mail.wvu.edu")) Depends: R (>= 3.5.0) +Suggests: car (>= 3.0-0) LazyLoad: yes LazyData: yes Description: @@ -14,15 +15,15 @@ License: GPL (>= 2) URL: https://r-forge.r-project.org/projects/car/, https://CRAN.R-project.org/package=carData, - http://socserv.socsci.mcmaster.ca/jfox/Books/Companion/index.html + https://socialsciences.mcmaster.ca/jfox/Books/Companion/index.html Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut] Maintainer: John Fox Repository: CRAN Repository/R-Forge/Project: car -Repository/R-Forge/Revision: 626 -Repository/R-Forge/DateTimeStamp: 2020-04-11 21:37:43 -Date/Publication: 2020-05-22 23:30:02 UTC +Repository/R-Forge/Revision: 694 +Repository/R-Forge/DateTimeStamp: 2022-01-05 19:40:37 +Date/Publication: 2022-01-06 00:20:07 UTC NeedsCompilation: no -Packaged: 2020-04-11 21:50:09 UTC; rforge +Packaged: 2022-01-05 19:48:10 UTC; rforge diff -Nru r-cran-cardata-3.0.4/man/AMSsurvey.Rd r-cran-cardata-3.0.5/man/AMSsurvey.Rd --- r-cran-cardata-3.0.4/man/AMSsurvey.Rd 2019-11-15 17:04:18.000000000 +0000 +++ r-cran-cardata-3.0.5/man/AMSsurvey.Rd 2021-12-05 18:49:56.000000000 +0000 @@ -28,7 +28,7 @@ These data are produced yearly by the American Math Society. } \source{ -\url{http://www.ams.org/employment/surveyreports.html} +From the now defunct 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{ diff -Nru r-cran-cardata-3.0.4/man/CanPop.Rd r-cran-cardata-3.0.5/man/CanPop.Rd --- r-cran-cardata-3.0.4/man/CanPop.Rd 2019-11-15 15:49:38.000000000 +0000 +++ r-cran-cardata-3.0.5/man/CanPop.Rd 2021-12-05 18:49:56.000000000 +0000 @@ -29,8 +29,8 @@ 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}. + Statistics Canada: from the now defunct + http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-PR.cfm. } \references{ diff -Nru r-cran-cardata-3.0.4/man/Depredations.Rd r-cran-cardata-3.0.5/man/Depredations.Rd --- r-cran-cardata-3.0.4/man/Depredations.Rd 2019-11-15 15:49:38.000000000 +0000 +++ r-cran-cardata-3.0.5/man/Depredations.Rd 2021-12-05 18:49:56.000000000 +0000 @@ -26,7 +26,7 @@ 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} +\doi{10.2193/2007-273} } \keyword{datasets} diff -Nru r-cran-cardata-3.0.4/man/LoBD.Rd r-cran-cardata-3.0.5/man/LoBD.Rd --- r-cran-cardata-3.0.4/man/LoBD.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.5/man/LoBD.Rd 2022-01-05 19:40:37.000000000 +0000 @@ -1,59 +1,59 @@ -\name{LoBD} -\alias{LoBD} -\docType{data} -\title{ -Cancer drug data use to provide an example of the use of the skew power distributions. -} -\description{ -A portion of an experiment to determine the limit of blank/limit of detection in a biochemical assay. -} -\usage{LoBD} -\format{ - A data frame with 84 observations on the following 9 variables. - \describe{ - \item{\code{pool}}{a factor with levels \code{1} \code{2} \code{3} \code{4} - \code{5} \code{6} \code{7} \code{8} \code{9} \code{10} \code{11} \code{12} - denoting the 12 pools used in the experiment; - each pool had a different level of drug.} - \item{\code{I1L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I1L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I2L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I2L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I3L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I3L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I4L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - \item{\code{I4L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} - } -} -\details{ -Important characteristics of a clinical chemistry assay are its -limit of blank (LoB), and its limit of detection (LoD). -The LoB, conceptually the highest reading likely to be obtained from -a zero-concentration sample, is defined operationally by the upper 95\% -point of readings obtained from samples that do not contain the analyte. -The LoD, conceptually the lowest level of analyte that can be reliably -determined not to be blank, is defined operationally as true value at -which there is a 95\% chance of the reading being above the LoB. - -These data are from a portion of a LoB/D study -of an assay for a drug used to treat certain cancers. -Twelve pools were used, four of them blanks of different types, -and eight with successively increasing drug levels. The 8 columns -of the data set refer to measurements made using different instruments I -and reagent lots L. -} -\source{ -Used as an illustrative example for Box-Cox type transformations with -negative readings in Hawkins and Weisberg (2015). -For examples of its use, see \code{\link[car]{bcnPower}}. -} -\references{ -Hawkins, D. and Weisberg, S. (2015) -Combining the Box-Cox Power and Generalized Log Transformations to -Accommodate Negative Responses, -submitted for publication. -} -\examples{ -LoBD -} -\keyword{datasets} +\name{LoBD} +\alias{LoBD} +\docType{data} +\title{ +Cancer drug data use to provide an example of the use of the skew power distributions. +} +\description{ +A portion of an experiment to determine the limit of blank/limit of detection in a biochemical assay. +} +\usage{LoBD} +\format{ + A data frame with 84 observations on the following 9 variables. + \describe{ + \item{\code{pool}}{a factor with levels \code{1} \code{2} \code{3} \code{4} + \code{5} \code{6} \code{7} \code{8} \code{9} \code{10} \code{11} \code{12} + denoting the 12 pools used in the experiment; + each pool had a different level of drug.} + \item{\code{I1L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I1L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I2L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I2L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I3L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I3L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I4L1}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + \item{\code{I4L2}}{a numeric vector giving the measured concentration in pmol/L of drug in the assay} + } +} +\details{ +Important characteristics of a clinical chemistry assay are its +limit of blank (LoB), and its limit of detection (LoD). +The LoB, conceptually the highest reading likely to be obtained from +a zero-concentration sample, is defined operationally by the upper 95\% +point of readings obtained from samples that do not contain the analyte. +The LoD, conceptually the lowest level of analyte that can be reliably +determined not to be blank, is defined operationally as true value at +which there is a 95\% chance of the reading being above the LoB. + +These data are from a portion of a LoB/D study +of an assay for a drug used to treat certain cancers. +Twelve pools were used, four of them blanks of different types, +and eight with successively increasing drug levels. The 8 columns +of the data set refer to measurements made using different instruments I +and reagent lots L. +} +\source{ +Used as an illustrative application for Box-Cox type transformations with +negative values in Hawkins and Weisberg (2015). +For examples of its use, see \code{\link[car]{bcnPower}}. +} +\references{ +Hawkins, D. and Weisberg, S. (2015) +Combining the Box-Cox Power and Generalized Log Transformations to +Accommodate Negative Responses, +submitted for publication. +} +\examples{ +LoBD +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.4/man/Soils.Rd r-cran-cardata-3.0.5/man/Soils.Rd --- r-cran-cardata-3.0.4/man/Soils.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.5/man/Soils.Rd 2021-12-05 18:49:56.000000000 +0000 @@ -1,59 +1,59 @@ -\name{Soils} -\alias{Soils} -\docType{data} -\title{Soil Compositions of Physical and Chemical Characteristics} -\description{ - Soil characteristics were measured on samples from three types of - contours (Top, Slope, and Depression) and at four depths (0-10cm, -10-30cm, 30-60cm, and 60-90cm). The area was divided into 4 -blocks, in a randomized block design. (Suggested by Michael Friendly.) -} -\usage{Soils} -\format{ - A data frame with 48 observations on the following 14 variables. There are 3 factors and 9 response variables. - \describe{ - \item{\code{Group}}{a factor with 12 levels, corresponding to the combinations of \code{Contour} and \code{Depth} } - \item{\code{Contour}}{a factor with 3 levels: \code{Depression} \code{Slope} \code{Top}} - \item{\code{Depth}}{a factor with 4 levels: \code{0-10} \code{10-30} \code{30-60} \code{60-90}} - \item{\code{Gp}}{a factor with 12 levels, giving abbreviations for the groups: - \code{D0} \code{D1} \code{D3} \code{D6} \code{S0} \code{S1} \code{S3} \code{S6} \code{T0} \code{T1} \code{T3} \code{T6}} - \item{\code{Block}}{a factor with levels \code{1} \code{2} \code{3} \code{4}} - \item{\code{pH}}{soil pH} - \item{\code{N}}{total nitrogen in \%} - \item{\code{Dens}}{bulk density in gm/cm$^3$ } - \item{\code{P}}{total phosphorous in ppm} - \item{\code{Ca}}{calcium in me/100 gm.} - \item{\code{Mg}}{magnesium in me/100 gm.} - \item{\code{K}}{phosphorous in me/100 gm.} - \item{\code{Na}}{sodium in me/100 gm.} - \item{\code{Conduc}}{conductivity} - } -} -\details{ -These data provide good examples of MANOVA and canonical discriminant analysis in a somewhat -complex multivariate setting. They may be treated as a one-way design (ignoring \code{Block}), -by using either \code{Group} or \code{Gp} as the factor, or a two-way randomized block -design using \code{Block}, \code{Contour} and \code{Depth} (quantitative, so orthogonal -polynomial contrasts are useful). -} -\source{ - Horton, I. F.,Russell, J. S., and Moore, A. W. (1968) - Multivariate-covariance and canonical analysis: - A method for selecting the most effective discriminators in a multivariate situation. - \emph{Biometrics} \bold{24}, 845--858. - Originally from \samp{http://www.stat.lsu.edu/faculty/moser/exst7037/soils.sas} but no longer available there. -} -\references{ - Khattree, R., and Naik, D. N. (2000) - \emph{Multivariate Data Reduction and Discrimination with SAS Software.} - SAS Institute. - - Friendly, M. (2006) - Data ellipses, HE plots and reduced-rank displays for - multivariate linear models: SAS software and examples. - \emph{Journal of Statistical Software}, 17(6), - \url{http://www.jstatsoft.org/v17/i06}. - -} - -\keyword{datasets} +\name{Soils} +\alias{Soils} +\docType{data} +\title{Soil Compositions of Physical and Chemical Characteristics} +\description{ + Soil characteristics were measured on samples from three types of + contours (Top, Slope, and Depression) and at four depths (0-10cm, +10-30cm, 30-60cm, and 60-90cm). The area was divided into 4 +blocks, in a randomized block design. (Suggested by Michael Friendly.) +} +\usage{Soils} +\format{ + A data frame with 48 observations on the following 14 variables. There are 3 factors and 9 response variables. + \describe{ + \item{\code{Group}}{a factor with 12 levels, corresponding to the combinations of \code{Contour} and \code{Depth} } + \item{\code{Contour}}{a factor with 3 levels: \code{Depression} \code{Slope} \code{Top}} + \item{\code{Depth}}{a factor with 4 levels: \code{0-10} \code{10-30} \code{30-60} \code{60-90}} + \item{\code{Gp}}{a factor with 12 levels, giving abbreviations for the groups: + \code{D0} \code{D1} \code{D3} \code{D6} \code{S0} \code{S1} \code{S3} \code{S6} \code{T0} \code{T1} \code{T3} \code{T6}} + \item{\code{Block}}{a factor with levels \code{1} \code{2} \code{3} \code{4}} + \item{\code{pH}}{soil pH} + \item{\code{N}}{total nitrogen in \%} + \item{\code{Dens}}{bulk density in gm/cm$^3$ } + \item{\code{P}}{total phosphorous in ppm} + \item{\code{Ca}}{calcium in me/100 gm.} + \item{\code{Mg}}{magnesium in me/100 gm.} + \item{\code{K}}{phosphorous in me/100 gm.} + \item{\code{Na}}{sodium in me/100 gm.} + \item{\code{Conduc}}{conductivity} + } +} +\details{ +These data provide good examples of MANOVA and canonical discriminant analysis in a somewhat +complex multivariate setting. They may be treated as a one-way design (ignoring \code{Block}), +by using either \code{Group} or \code{Gp} as the factor, or a two-way randomized block +design using \code{Block}, \code{Contour} and \code{Depth} (quantitative, so orthogonal +polynomial contrasts are useful). +} +\source{ + Horton, I. F.,Russell, J. S., and Moore, A. W. (1968) + Multivariate-covariance and canonical analysis: + A method for selecting the most effective discriminators in a multivariate situation. + \emph{Biometrics} \bold{24}, 845--858. + Originally from \samp{http://www.stat.lsu.edu/faculty/moser/exst7037/soils.sas} but no longer available there. +} +\references{ + Khattree, R., and Naik, D. N. (2000) + \emph{Multivariate Data Reduction and Discrimination with SAS Software.} + SAS Institute. + + Friendly, M. (2006) + Data ellipses, HE plots and reduced-rank displays for + multivariate linear models: SAS software and examples. + \emph{Journal of Statistical Software}, 17(6), + \doi{10.18637/jss.v017.i06}. + +} + +\keyword{datasets} diff -Nru r-cran-cardata-3.0.4/man/TitanicSurvival.Rd r-cran-cardata-3.0.5/man/TitanicSurvival.Rd --- r-cran-cardata-3.0.4/man/TitanicSurvival.Rd 2017-08-27 16:26:39.000000000 +0000 +++ r-cran-cardata-3.0.5/man/TitanicSurvival.Rd 2021-12-05 18:49:56.000000000 +0000 @@ -1,43 +1,43 @@ -\name{TitanicSurvival} -\alias{TitanicSurvival} -\docType{data} -\title{Survival of Passengers on the Titanic} -\description{ - Information on the survival status, sex, age, and passenger class of 1309 - passengers in the Titanic disaster of 1912. -} - -\usage{TitanicSurvival} - -\format{ - A data frame with 1309 observations on the following 4 variables. - \describe{ - \item{\code{survived}}{\code{no} or \code{yes}.} - \item{\code{sex}}{\code{female} or \code{male}} - \item{\code{age}}{in years (and for some children, fractions of a year); age - is missing for 263 of the passengers.} - \item{\code{passengerClass}}{\code{1st}, \code{2nd}, or \code{3rd} class.} - } -} - -\details{ - This is part of a larger data set compiled by Thomas Cason. - Many additional details are given in the sources cited below. -} - -\source{ - Data set \code{titanic3} from - \url{http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DataSets}. -} - -\references{ - \url{http://www.encyclopedia-titanica.org/} - - F. E. Harrell, Jr. (2001) - \emph{Regression Modeling Strategies} - New York: Springer. -} -\examples{ -summary(TitanicSurvival) -} -\keyword{datasets} +\name{TitanicSurvival} +\alias{TitanicSurvival} +\docType{data} +\title{Survival of Passengers on the Titanic} +\description{ + Information on the survival status, sex, age, and passenger class of 1309 + passengers in the Titanic disaster of 1912. +} + +\usage{TitanicSurvival} + +\format{ + A data frame with 1309 observations on the following 4 variables. + \describe{ + \item{\code{survived}}{\code{no} or \code{yes}.} + \item{\code{sex}}{\code{female} or \code{male}} + \item{\code{age}}{in years (and for some children, fractions of a year); age + is missing for 263 of the passengers.} + \item{\code{passengerClass}}{\code{1st}, \code{2nd}, or \code{3rd} class.} + } +} + +\details{ + This is part of a larger data set compiled by Thomas Cason. + Many additional details are given in the sources cited below. +} + +\source{ + Data set \code{titanic3} from the now defunct + http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/DataSets. +} + +\references{ + \url{https://www.encyclopedia-titanica.org/} + + F. E. Harrell, Jr. (2001) + \emph{Regression Modeling Strategies} + New York: Springer. +} +\examples{ +summary(TitanicSurvival) +} +\keyword{datasets} diff -Nru r-cran-cardata-3.0.4/man/USPop.Rd r-cran-cardata-3.0.5/man/USPop.Rd --- r-cran-cardata-3.0.4/man/USPop.Rd 2019-11-15 15:49:38.000000000 +0000 +++ r-cran-cardata-3.0.5/man/USPop.Rd 2021-12-05 18:49:56.000000000 +0000 @@ -22,7 +22,7 @@ } \source{ -U.S.~Census Bureau: \url{http://www.census-charts.com/Population/pop-us-1790-2000.html}, downloaded 1 May 2008. +U.S.~Census Bureau: \url{https://www.census-charts.com/Population/pop-us-1790-2000.html}, downloaded 1 May 2008. } \references{ diff -Nru r-cran-cardata-3.0.4/MD5 r-cran-cardata-3.0.5/MD5 --- r-cran-cardata-3.0.4/MD5 2020-05-22 23:30:02.000000000 +0000 +++ r-cran-cardata-3.0.5/MD5 2022-01-06 00:20:07.000000000 +0000 @@ -1,71 +1,71 @@ -cb5012f997f993b5e586c05f17b6d2c5 *DESCRIPTION +955a656d3aa0c74c7cecddebfefc4d8d *DESCRIPTION 10e0ce011bd5156ae27019326573e797 *NAMESPACE 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3458e87631e84c9d73949e2630012f3c *man/WeightLoss.Rd diff -Nru r-cran-cardata-3.0.4/NEWS r-cran-cardata-3.0.5/NEWS --- r-cran-cardata-3.0.4/NEWS 2020-04-11 21:37:43.000000000 +0000 +++ r-cran-cardata-3.0.5/NEWS 2021-12-05 18:49:56.000000000 +0000 @@ -1,3 +1,7 @@ +Version 3.0-5 + +o Small improvements to docs. + Version 3.0-4 o Added "long"-format version of the O'Brien-Kaiser repeated-measures data set.