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rockchalk (version 1.8.129)

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 . 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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Install

install.packages('rockchalk')

Monthly Downloads

14,388

Version

1.8.129

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

November 9th, 2018

Functions in rockchalk (1.8.129)

Central Tendency estimates for variables

Select most frequently occurring values from numeric or categorical variables.

formatSummarizedFactors

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

formatSummarizedNumerics

Reformat numeric summarize output as one column per variable, similar to R summary

Create covariance matrix from correlation and standard deviation information

Select focal values from an observed variable.

Estimate leave-one-variable-out regressions

Minor revision of mvrnorm (from MASS) to facilitate replication

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

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

model.data.default

Create a data frame suitable for estimating a model

Create a newdata frame for usage in predict methods

Convert LaTeX output from outreg to HTML markup

Superimpose regression lines on a plotted plane

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

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

recode a factor by "combining" levels

Create an ordinal variable by grouping numeric data input.

dir.create.unique

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

descriptiveTable

Summary stats table-maker for regression users

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

Create a focal value vector.

summarizeFactors

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

Illustrate multicollinearity in regression, part 1.

Converts the R-square to the variance inflation factor

genCorrelatedData3

Generate correlated data for simulations (third edition)

Generate correlated data (predictors) for one unit

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

Creates a cross tabulation with counts and percentages

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

Group Mean Center: Generate group summaries and individual deviations within groups

Religious beliefs and crime rates

Remove NULL values variables from a list

Check a matrix for positive definitness

getDeltaRsquare

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

genCorrelatedData

Generates a data frame for regression analysis

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

magRange Magnify the range of a variable.

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

genCorrelatedData2

Generates a data frame for regression analysis.

plot.testSlopes

Plot testSlopes objects

Create sequences for plotting

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

Assists creation of predicted value curves for regression models.

Calculate excess kurtosis

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

Generic function for plotting regressions and interaction effects

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

Calculates a "residual-centered" interaction regression.

Create correlation matrices.

rockchalk-package

rockchalk: regression functions

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

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

makeVec for checking or creating vectors

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

Multi-collinearity diagnostics

print.summary.pctable

print method for summary.pctable objects

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

Calculate skewness

Display pctable objects

Stack together data frames

Estimate standardized regression coefficients for all variables

print.summarize

print method for output from summarize

summary.pctable

Extract presentation from a pctable object

summarizeNumerics

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

Hypothesis tests for Simple Slopes Objects

Tabulates observed values and calculates entropy

T-test for the difference in 2 regression parameters

Cheating and Looting in Japanese Electoral Politics

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