Regression Estimation and Presentation


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Documentation for package ‘rockchalk’ version 1.6.3

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rockchalk-package Miscellaneous 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
combineLevels recode a factor by "combining" levels
cutByQuantile Calculates the "center" quantiles, always including the median.
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.
genCorrelatedData Generates a data frame (x1,x2,y) with user-specified correlation between x1 and x2
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.
getVIF Converts the R-square to the variance inflation factor
lmAuxiliary Estimate leave-one-variable-out regressions
magRange magRange Magnify the range of a variable.
mcDiagnose Multi-collinearity diagnostics
mcGraph1 Illustrate the effect of multicollinearity in regression.
mcGraph2 mcGraph2 draws a 3-D representation of a scatterplot with shadows in the x1-x2 plane.
mcGraph3 mcGraph3 draws a 3-dimensional scatter and a regression plane
meanCenter meanCenter
meanCenter.default meanCenter
model.data Creates a "raw" (UNTRANSFORMED) data frame equivalent to the input data that would be required to fit the given model.
newdata Creates the newdata frame required in predict.
outreg outreg
perspEmpty perspEmpty
plotCurves Assists creation of predicted value curves for regression models.
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 Assists creation of predicted value lines for values of a moderator variable.
predict.rcreg Calculates a "residual-centered" interaction regression.
predictOMatic predictOMatic creates predicted values for a fitted regression model.
print.factorSummaries Prints out the contents of an object created by summarizeFactors in the style of base::summary
religioncrime Religious beliefs and crime rates
residualCenter Calculates a "residual-centered" interaction regression.
residualCenter.default Calculates a "residual-centered" interaction regression.
rockchalk Miscellaneous regression functions
standardize Estimate standardized regression coefficients for all variables
standardize.lm Estimate standardized regression coefficients for all variables
summarize Sorts numeric from factor 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 alphabetized summary in a workable format.
summary.factor Tabulates observed values and calculates entropy
testSlopes Hypothesis tests for Simple Slopes Objects