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rockchalk (version 1.8.98)

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

1.8.98

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

February 9th, 2016

Functions in rockchalk (1.8.98)

Check a matrix for positive definitness

model.data.default

Create a data frame suitable for estimating a model

rockchalk-package

rockchalk: regression functions

Generic function for plotting regressions and interaction effects

Religious beliefs and crime rates

Tabulates observed values and calculates entropy

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

Converts the R-square to the variance inflation factor

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

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

Calculates a "residual-centered" interaction regression.

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

Estimate standardized regression coefficients for all variables

summary.pctable

Extract presentation from a pctable object

print.summary.pctable

print method for summary.pctable objects

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

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

Illustrate multicollinearity in regression, part 1.

Creates a cross tabulation with counts and percentages

summarizeFactors

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

genCorrelatedData

Generates a data frame for regression analysis

magRange Magnify the range of a variable.

plot.testSlopes

Plot testSlopes objects

Select focal values from an observed variable.

Multi-collinearity diagnostics

Superimpose regression lines on a plotted plane

Create a focal value vector.

Minor revision of mvrnorm (from MASS) to facilitate replication

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

Assists creation of predicted value curves for regression models.

Select most frequently occurring values from numeric or categorical variables.

Central Tendency estimates for variables

formatter for merMod objects copied from lme4

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

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

Calculate excess kurtosis

Create a newdata frame for usage in predict methods

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

Create sequences for plotting

Estimate leave-one-variable-out regressions

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

Cheating and Looting in Japanese Electoral Politics

Create correlation matrices.

makeVec for checking or creating vectors

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

Create covariance matrix from correlation and standard deviation information

summarizeNumerics

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

Hypothesis tests for Simple Slopes Objects

getDeltaRsquare

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

Calculate skewness

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

genCorrelatedData2

Generates a data frame for regression analysis.

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

Convert LaTeX output from outreg to HTML markup

recode a factor by "combining" levels

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

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

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

Display pctable objects

print.factorSummaries

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