Learn R Programming

⚠️There's a newer version (1.8.157) of this package.Take me there.

rockchalk (version 1.8.91)

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.".

Copy Link

Version

Install

install.packages('rockchalk')

Monthly Downloads

13,923

Version

1.8.91

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

January 30th, 2015

Functions in rockchalk (1.8.91)

Check a matrix for positive definitness

Estimate standardized regression coefficients for all variables

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

Estimate leave-one-variable-out regressions

magRange Magnify the range of a variable.

Religious beliefs and crime rates

Calculates a "residual-centered" interaction regression.

Minor revision of mvrnorm (from MASS) to facilitate replication

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

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

Display pctable objects

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

Cheating and Looting in Japanese Electoral Politics

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

summarizeNumerics

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

print.factorSummaries

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

Multi-collinearity diagnostics

Create a focal value vector.

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

summary.pctable

Extract presentation from a pctable object

model.data.default

Create a data frame suitable for estimating a model

genCorrelatedData

Generates a data frame for regression analysis

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

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

Hypothesis tests for Simple Slopes Objects

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

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

Select most frequently occurring values from numeric or categorical variables.

genCorrelatedData2

Generates a data frame for regression analysis.

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

makeVec for checking or creating vectors

Generic function for plotting regressions and interaction effects

Converts the R-square to the variance inflation factor

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

Select focal values from an observed variable.

Creates a cross tabulation with counts and percentages

getDeltaRsquare

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

Assists creation of predicted value curves for regression models.

print.summary.pctable

print method for summary.pctable objects

Create correlation matrices.

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

Superimpose regression lines on a plotted plane

Create covariance matrix from correlation and standard deviation information

Create a newdata frame for usage in predict methods

plot.testSlopes

Plot testSlopes objects

Central Tendency estimates for variables

formatter for merMod objects copied from lme4

Illustrate multicollinearity in regression, part 1.

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

summarizeFactors

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

Convert LaTeX output from outreg to HTML markup

recode a factor by "combining" levels

Create sequences for plotting

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

Tabulates observed values and calculates entropy

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

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

rockchalk-package

Miscellaneous regression functions