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rockchalk  

Regression Estimation and Presentation
View on CRAN: Click here


Download and install rockchalk package within the R console
Install from CRAN:
install.packages("rockchalk")

Install from Github:
library("remotes")
install_github("cran/rockchalk")

Install by package version:
library("remotes")
install_version("rockchalk", "1.8.157")



Attach the package and use:
library("rockchalk")
Maintained by
Paul E. Johnson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-11-03
Latest Update: 2022-08-06
Description:
A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in . Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
How to cite:
Paul E. Johnson (2011). rockchalk: Regression Estimation and Presentation. R package version 1.8.157, https://cran.r-project.org/web/packages/rockchalk. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2011-11-03 07:50), 1.1 (2011-11-11 12:19), 1.3.1 (2011-12-02 18:07), 1.3.2 (2011-12-07 11:14), 1.4 (2012-01-24 07:50), 1.5.2 (2012-03-16 21:43), 1.5.4 (2012-04-10 06:20), 1.6.2 (2012-06-19 08:34), 1.6.3 (2013-03-22 20:16), 1.6 (2012-06-12 21:45), 1.8.0 (2013-07-30 21:36), 1.8.86 (2014-08-13 16:42), 1.8.91 (2015-01-30 08:48), 1.8.92 (2015-02-13 22:46), 1.8.98 (2016-02-09 16:40), 1.8.101 (2016-02-25 00:44), 1.8.109 (2017-11-16 23:08), 1.8.110 (2017-11-21 18:13), 1.8.111 (2018-05-14 17:49), 1.8.117 (2018-09-13 00:20), 1.8.129 (2018-11-09 22:10), 1.8.140 (2019-02-19 10:40), 1.8.144 (2019-03-08 13:20), 1.8.151 (2022-02-14 05:10), 1.8.152 (2022-05-20 09:30), 1.8.157 (2022-08-06 19:00)
Other packages that cited rockchalk R package
View rockchalk citation profile
Other R packages that rockchalk depends, imports, suggests or enhances
Complete documentation for rockchalk
Functions, R codes and Examples using the rockchalk R package
Some associated functions: addLines . centerNumerics . centralValues . cheating . checkIntFormat . checkPosDef . combineLevels . cutByQuantile . cutBySD . cutByTable . cutFancy . descriptiveTable . dir.create.unique . drawnorm . focalVals . formatSummarizedFactors . formatSummarizedNumerics . genCorrelatedData . genCorrelatedData2 . genCorrelatedData3 . genX . getAuxRsq . getDeltaRsquare . getFocal . getPartialCor . getVIF . gmc . kurtosis . lazyCor . lazyCov . lmAuxiliary . magRange . makeSymmetric . makeVec . mcDiagnose . mcGraph . meanCenter . model.data.default . model.data . mvrnorm . newdata . outreg . outreg2HTML . padW0 . pctable . perspEmpty . plot.testSlopes . plotCurves . plotFancy . plotFancyCategories . plotPlane . plotSeq . plotSlopes . predictCI . predictOMatic . print.pctable . print.summarize . print.summary.pctable . rbindFill . religioncrime . removeNULL . residualCenter . rockchalk-package . se.bars . skewness . standardize . summarize . summarizeFactors . summarizeNumerics . summary.factor . summary.pctable . testSlopes . vech2Corr . vech2mat . waldt . 
Some associated R codes: centralValues.R . cutFancy.R . descriptiveTable.R . dir.create.unique.R . drawnorm.R . genCorrelatedData.R . groupMeanCenter.R . lazyCor.R . lazyCov.R . magRange.R . makeSymmetric.R . makeVec.R . mcDiagnose.R . mcGraph.R . meanCenter.R . mvrnorm.R . outreg.R . pctable.R . perspEmpty.R . plotCurves.R . plotPlane.R . plotSlopes.R . plyr.replace.R . predictOMatic.R . recodeFactors.R . removeNULL.R . residualCenter.R . rockchalk-package.R . summarize.R . testSlopes.R . utils.R . vech2Corr.R . vech2mat.R . waldt.R .  Full rockchalk package functions and examples
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