Regression Estimation and Presentation


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Documentation for package ‘rockchalk’ version 1.8.0

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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
cheating Cheating and Looting in Japanese Electoral Politics
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.
focalVals Create a focal value vector.
genCorrelatedData Generates a data frame for regression analysis
genCorrelatedData2 Generates a data frame for regression analysis.
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.default Select focal values from a numeric variable
getFocal.factor Select focal values from factor variables.
getPartialCor Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model
getVIF Converts the R-square to the variance inflation factor
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 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.
mvrnorm Minor revision of mvrnorm (from 'MASS') to facilitate replication
newdata Creates the newdata frame required in predict methods.
outreg Creates a publication quality result table for regression models.
outreg0 Creates a publication quality result table for regression models. outreg0 is the last version in the last development stream.
outreg2HTML Convert an outreg result to HTML markup
perspEmpty perspEmpty
plot.testSlopes Hypothesis tests for Simple Slopes Objects
plotCurves Assists creation of predicted value curves for regression models.
plotFancy Regression plots with predicted value lines, confidence intervals, color coded interactions
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 predictOMatic creates predicted values for a fitted regression model. This demonstrates marginal effects of the predictor variables.
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
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.