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rockchalk (version 1.8.144)

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

15,222

Version

1.8.144

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

March 8th, 2019

Functions in rockchalk (1.8.144)

recode a factor by "combining" levels

dir.create.unique

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

Create a focal value vector.

draw a normal distribution with beautiful illustrations

Multi-collinearity diagnostics

Display pctable objects

Illustrate multicollinearity in regression, part 1.

plot.testSlopes

Plot testSlopes objects

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

Remove NULL values variables from a list

Assists creation of predicted value curves for regression models.

formatSummarizedFactors

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

Create correlation matrices.

Create covariance matrix from correlation and standard deviation information

Central Tendency estimates for variables

Calculates a "residual-centered" interaction regression.

summary.pctable

Extract presentation from a pctable object

Cheating and Looting in Japanese Electoral Politics

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

genCorrelatedData2

Generates a data frame for regression analysis.

Hypothesis tests for Simple Slopes Objects

Create a newdata frame for usage in predict methods

print.summarize

print method for output from summarize

print.summary.pctable

print method for summary.pctable objects

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

summarizeNumerics

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

genCorrelatedData3

Generate correlated data for simulations (third edition)

Tabulates observed values and calculates entropy

getDeltaRsquare

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

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

Select focal values from an observed variable.

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

makeVec for checking or creating vectors

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

Stack together data frames

Religious beliefs and crime rates

T-test for the difference in 2 regression parameters

Generate correlated data (predictors) for one unit

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

Estimate leave-one-variable-out regressions

magRange Magnify the range of a variable.

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

plotFancyCategories

Draw display for discrete predictor in plotSlopes

Generic function for plotting regressions and interaction effects

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

rockchalk-package

rockchalk: regression functions

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

Draw standard error bar for discrete variables

Select most frequently occurring values from numeric or categorical variables.

Create an ordinal variable by grouping numeric data input.

descriptiveTable

Summary stats table-maker for regression users

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

Converts the R-square to the variance inflation factor

model.data.default

Create a data frame suitable for estimating a model

Minor revision of mvrnorm (from MASS) to facilitate replication

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

Create sequences for plotting

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

summarizeFactors

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

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

formatSummarizedNumerics

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

Check a matrix for positive definitness

genCorrelatedData

Generates a data frame for regression analysis

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

Calculate excess kurtosis

Convert LaTeX output from outreg to HTML markup

Calculate skewness

Estimate standardized regression coefficients for all variables

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.