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rockchalk (version 1.8.92)

Regression Estimation and Presentation

Description

A collection of functions for ease of presentation and interpretation of regression analysis. These functions are used to produce the statistics lectures in http://pj.freefaculty.org/guides. There are functions to explore the effect (or lack thereof) from "mean centering," "residual centering", and standardization. The vignette "rockchalk" offers a fairly comprehensive overview. The vignette "Rstyle" has advice about coding in R. See the outreg function for a convenient way to generate regression models for reports. For nice, easy to use pictures, see plotSlopes, plotCurves, plotPlane. The package title "rockchalk" refers to our school motto, "Rock Chalk Jayhawk, Go K.U.".

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Version

Install

install.packages('rockchalk')

Monthly Downloads

13,676

Version

1.8.92

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

February 13th, 2015

Functions in rockchalk (1.8.92)

Superimpose regression lines on a plotted plane

recode a factor by "combining" levels

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

model.data.default

Create a data frame suitable for estimating a model

Generic function for plotting regressions and interaction effects

Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model

A way of checking if a string is a valid file name.

Creates a publication quality result table for regression models. Works with models fitted with lm, glm, as well as lme4.

plot.testSlopes

Plot testSlopes objects

Creates a cross tabulation with counts and percentages

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

Hypothesis tests for Simple Slopes Objects

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

Create correlation matrices.

Religious beliefs and crime rates

Calculates a "residual-centered" interaction regression.

Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix.

genCorrelatedData

Generates a data frame for regression analysis

Calculates the "center" quantiles, always including the median, when n is odd.

magRange Magnify the range of a variable.

Estimate leave-one-variable-out regressions

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

Converts the R-square to the variance inflation factor

Create Symmetric Matrices, possibly covariance or correlation matrices, or check a matrix for symmetry and serviceability.

Central Tendency estimates for variables

Check a matrix for positive definitness

formatter for merMod objects copied from lme4

Create covariance matrix from correlation and standard deviation information

Select focal values from an observed variable.

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

Select most frequently occurring values from numeric or categorical variables.

Display pctable objects

Convert a half-vector (vech) into a matrix.

Assists creation of predicted value curves for regression models.

Create predicted values after choosing values of predictors. Can demonstrate marginal effects of the predictor variables.

summarizeNumerics

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

Illustrate multicollinearity in regression, part 1.

Create sequences for plotting

Regression plots with predicted value lines, confidence intervals, color coded interactions

summary.pctable

Extract presentation from a pctable object

Estimate standardized regression coefficients for all variables

print.summary.pctable

print method for summary.pctable objects

Create a focal value vector.

getDeltaRsquare

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

Multi-collinearity diagnostics

Convert LaTeX output from outreg to HTML markup

makeVec for checking or creating vectors

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

Create a newdata frame for usage in predict methods

Cheating and Looting in Japanese Electoral Politics

print.factorSummaries

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

Minor revision of mvrnorm (from MASS) to facilitate replication

summarizeFactors

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

Calculate a predicted value matrix (fit, lwr, upr) for a regression, either lm or glm, on either link or response scale.

genCorrelatedData2

Generates a data frame for regression analysis.

rockchalk-package

Miscellaneous regression functions

Creates a publication quality result table for regression models. outreg0 is the last version in the last development stream.

Tabulates observed values and calculates entropy