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rockchalk (version 1.6.3)

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

1.6.3

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

March 22nd, 2013

Functions in rockchalk (1.6.3)

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

Select most frequently occurring values from numeric or categorical variables.

predictOMatic creates predicted values for a fitted regression model.

Tabulates observed values and calculates entropy

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

recode a factor by "combining" levels

genCorrelatedData

Generates a data frame (x1,x2,y) with user-specified correlation between x1 and x2

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

mcGraph3 draws a 3-dimensional scatter and a regression plane

Assists creation of predicted value curves for regression models.

magRange Magnify the range of a variable.

Illustrate the effect of multicollinearity in regression.

Converts the R-square to the variance inflation factor

Superimpose regression lines on a plotted plane

Estimate leave-one-variable-out regressions

getDeltaRsquare

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

print.factorSummaries

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

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

Estimate standardized regression coefficients for all variables

Religious beliefs and crime rates

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

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

Creates the newdata frame required in predict.

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

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

summarizeNumerics

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

Central Tendency estimates for variables

Multi-collinearity diagnostics

Hypothesis tests for Simple Slopes Objects

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

Create sequences for plotting

summarizeFactors

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

rockchalk-package

Miscellaneous regression functions

Calculates a "residual-centered" interaction regression.