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rockchalk (version 1.6.2)

Regression Estimation and Presentation

Description

A collection of functions for ease of presentation and interpretation of regression analysis. These functions are developed in response to student requests that have arisen in our regression course. For regression diagnostics, see mcDiagnose, getDeltaRsquare, meanCenter or residualCenter. See the outreg function for a way to generate LaTeX tables of regression models. For nice, easy to use pictures, see plotSlopes, plotCurves, plotPlane for graphs. There are some functions for re-organization of data, especially useful might be combineLevels for re-coding factors. The vignette "rockchalk" offers a fairly broad survey. The package title "rockchalk" refers to the expression, "Rock Chalk Jayhawk, Go K.U.".

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Version

Install

install.packages('rockchalk')

Monthly Downloads

14,388

Version

1.6.2

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

June 19th, 2012

Functions in rockchalk (1.6.2)

Religious beliefs and crime rates

Converts the R-square to the variance inflation factor

print.factorSummaries

Prints out the contents of an object created by summarizeFactors in the style of base::summary

Hypothesis tests for Simple Slopes Objects

Assists creation of predicted value curves for regression models.

Creates a "raw" (UNTRANSFORMED) data frame equivalent to the input data that would be required to fit the given model.

predictOMatic creates predicted values for a fitted regression model.

Calculates a "residual-centered" interaction regression.

Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object

Sorts numeric from factor variables and returns separate summaries for those types of variables.

summarizeNumerics

Extracts numeric variables and presents an alphabetized summary in a workable format.

Estimate leave-one-variable-out regressions

Estimate standardized regression coefficients for all variables

Tabulates observed values and calculates entropy

mcGraph2 draws a 3-D representation of a scatterplot with shadows in the x1-x2 plane.

Calculates the "center" quantiles, always including the median.

Multi-collinearity diagnostics

magRange Magnify the range of a variable.

Assists creation of predicted value lines for values of a moderator variable.

retrieves estimates of the coefficient of determination from a list of regressions

Create sequences for plotting

rockchalk-package

Miscellaneous regression functions

recode a factor by "combining" levels

Illustrate the effect of multicollinearity in regression.

Find numeric columns, center them, re-name them, and join them with the original data.

Creates the newdata frame required in predict.

Central Tendency estimates for variables

summarizeFactors

Extracts non-numeric variables, calculates summary information, including entropy as a diversity indicator.

Returns center values of x, the mean, mean-std.dev, mean+std.dev

getDeltaRsquare

Calculates the delta R-squares, also known as squared semi-partial correlation coefficients.

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

mcGraph3 draws a 3-dimensional scatter and a regression plane

Superimpose regression lines on a plotted plane