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rockchalk (version 1.8.101)

Regression Estimation and Presentation

Description

A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in http://pj.freefaculty.org/guides. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. 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

1.8.101

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

February 25th, 2016

Functions in rockchalk (1.8.101)

formatter for merMod objects copied from lme4

Create correlation matrices.

Select focal values from an observed variable.

Display pctable objects

summary.pctable

Extract presentation from a pctable object

Hypothesis tests for Simple Slopes Objects

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

magRange Magnify the range of a variable.

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

Assists creation of predicted value curves for regression models.

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

Calculate skewness

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

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

dir.create.unique

Create a uniquely named directory. Appends number & optionally date to directory name.

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

genCorrelatedData

Generates a data frame for regression analysis

model.data.default

Create a data frame suitable for estimating a model

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

Generic function for plotting regressions and interaction effects

Estimate standardized regression coefficients for all variables

Minor revision of mvrnorm (from MASS) to facilitate replication

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

Calculate excess kurtosis

recode a factor by "combining" levels

Estimate leave-one-variable-out regressions

summarizeFactors

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

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

print.summary.pctable

print method for summary.pctable objects

Create a focal value vector.

Select most frequently occurring values from numeric or categorical variables.

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

Multi-collinearity diagnostics

summarizeNumerics

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

Create a newdata frame for usage in predict methods

Create covariance matrix from correlation and standard deviation information

Create sequences for plotting

Central Tendency estimates for variables

Check a matrix for positive definitness

Converts the R-square to the variance inflation factor

genCorrelatedData2

Generates a data frame for regression analysis.

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

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

rockchalk-package

rockchalk: regression functions

Calculates a "residual-centered" interaction regression.

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

Superimpose regression lines on a plotted plane

getDeltaRsquare

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

Convert LaTeX output from outreg to HTML markup

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

plot.testSlopes

Plot testSlopes objects

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

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

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

Tabulates observed values and calculates entropy

Creates a cross tabulation with counts and percentages

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

makeVec for checking or creating vectors

Illustrate multicollinearity in regression, part 1.

Religious beliefs and crime rates