# Regression Estimation and Presentation

## Documentation for package ‘rockchalk’ version 1.8.164

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

rockchalk-package | rockchalk: regression functions
addLines | Superimpose regression lines on a plotted plane
centerNumerics | Find numeric columns, center them, re-name them, and join them with the original data.
centralValues | Central Tendency estimates for variables
checkIntFormat | A way of checking if a string is a valid file name.
checkPosDef | Check a matrix for positive definitness
combineLevels | recode a factor by "combining" levels
cutByQuantile | Calculates the "center" quantiles, always including the median, when n is odd.
cutBySD | Returns center values of x, the mean, mean-std.dev, mean+std.dev
cutByTable | Select most frequently occurring values from numeric or categorical variables.
cutFancy | Create an ordinal variable by grouping numeric data input.
descriptiveTable | Summary stats table-maker for regression users
dir.create.unique | Create a uniquely named directory. Appends number & optionally date to directory name.
drawnorm | draw a normal distribution with beautiful illustrations
focalVals | Create a focal value vector.
formatSummarizedFactors | Prints out the contents of an object created by summarizeFactors in the style of base::summary
formatSummarizedNumerics | Reformat numeric summarize output as one column per variable, similar to R summary
genCorrelatedData | Generates a data frame for regression analysis
genCorrelatedData2 | Generates a data frame for regression analysis.
genCorrelatedData3 | Generate correlated data for simulations (third edition)
genX | Generate correlated data (predictors) for one unit
getAuxRsq | retrieves estimates of the coefficient of determination from a list of regressions
getDeltaRsquare | Calculates the delta R-squares, also known as squared semi-partial correlation coefficients.
getFocal | Select focal values from an observed variable.
getFocal.character | Select focal values from an observed variable.
getFocal.default | Select focal values from an observed variable.
getFocal.factor | Select focal values from an observed variable.
getPartialCor | Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model
getVIF | Converts the R-square to the variance inflation factor
gmc | Group Mean Center: Generate group summaries and individual deviations within groups
kurtosis | Calculate excess kurtosis
lazyCor | Create correlation matrices.
lazyCov | Create covariance matrix from correlation and standard deviation information
lmAuxiliary | Estimate leave-one-variable-out regressions
magRange | magRange Magnify the range of a variable.
makeSymmetric | Create Symmetric Matrices, possibly covariance or correlation matrices, or check a matrix for symmetry and serviceability.
makeVec | makeVec for checking or creating vectors
mcDiagnose | Multi-collinearity diagnostics
mcGraph1 | Illustrate multicollinearity in regression, part 1.
mcGraph2 | Illustrate multicollinearity in regression, part 1.
mcGraph3 | Illustrate multicollinearity in regression, part 1.
meanCenter | meanCenter
meanCenter.default | meanCenter
model.data | Create a "raw" (UNTRANSFORMED) data frame equivalent to the input data that would be required to fit the given model.
model.data.default | Create a data frame suitable for estimating a model
mvrnorm | Minor revision of mvrnorm (from 'MASS') to facilitate replication
newdata | Create a newdata frame for usage in predict methods
newdata.default | Create a newdata frame for usage in predict methods
outreg | Creates a publication quality result table for regression models. Works with models fitted with lm, glm, as well as lme4.
outreg2HTML | Convert LaTeX output from outreg to HTML markup
padW0 | Pad with 0's.
pctable | Creates a cross tabulation with counts and percentages
pctable.character | Creates a cross tabulation with counts and percentages
pctable.default | Creates a cross tabulation with counts and percentages
pctable.formula | Creates a cross tabulation with counts and percentages
perspEmpty | perspEmpty
plot.testSlopes | Plot testSlopes objects
plotCurves | Assists creation of predicted value curves for regression models.
plotFancy | Regression plots with predicted value lines, confidence intervals, color coded interactions
plotFancyCategories | Draw display for discrete predictor in plotSlopes
plotPlane | Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object
plotPlane.default | Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object
plotSeq | Create sequences for plotting
plotSlopes | Generic function for plotting regressions and interaction effects
plotSlopes.lm | Generic function for plotting regressions and interaction effects
predict.rcreg | Calculates a "residual-centered" interaction regression.
predictCI | Calculate a predicted value matrix (fit, lwr, upr) for a regression, either lm or glm, on either link or response scale.
predictOMatic | Create predicted values after choosing values of predictors. Can demonstrate marginal effects of the predictor variables.
print.pctable | Display pctable objects
print.summarize | print method for output from summarize
print.summary.pctable | print method for summary.pctable objects
rbindFill | Stack together data frames
religioncrime | Religious beliefs and crime rates
removeNULL | Remove NULL values variables from a list
residualCenter | Calculates a "residual-centered" interaction regression.
residualCenter.default | Calculates a "residual-centered" interaction regression.
rockchalk | rockchalk: regression functions
se.bars | Draw standard error bar for discrete variables
skewness | Calculate skewness
standardize | Estimate standardized regression coefficients for all variables
standardize.lm | Estimate standardized regression coefficients for all variables
summarize | Sorts numeric from discrete variables and returns separate summaries for those types of variables.
summarizeFactors | Extracts non-numeric variables, calculates summary information, including entropy as a diversity indicator.
summarizeNumerics | Extracts numeric variables and presents an summary in a workable format.
summary.pctable | Extract presentation from a pctable object
summary_factor | Tabulates observed values and calculates entropy
testSlopes | Hypothesis tests for Simple Slopes Objects
vech2Corr | Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix.
vech2mat | Convert a half-vector (vech) into a matrix.
waldt | T-test for the difference in 2 regression parameters