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rockchalk (version 1.8.110)

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

13,923

Version

1.8.110

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

November 21st, 2017

Functions in rockchalk (1.8.110)

Select most frequently occurring values from numeric or categorical variables.

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

recode a factor by "combining" levels

Superimpose regression lines on a plotted plane

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

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

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

Check a matrix for positive definitness

Central Tendency estimates for variables

Generate correlated data (predictors) for one unit

Cheating and Looting in Japanese Electoral Politics

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

formatNumericSummaries

Numeric output data.frame from summarize is reformatted as one column per variable with summary statistics in the rows

getDeltaRsquare

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

formatter for merMod objects copied from lme4

Select focal values from an observed variable.

makeVec for checking or creating vectors

Calculate excess kurtosis

Multi-collinearity diagnostics

Create correlation matrices.

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

Converts the R-square to the variance inflation factor

Create a focal value vector.

Create covariance matrix from correlation and standard deviation information

genCorrelatedData

Generates a data frame for regression analysis

Estimate leave-one-variable-out regressions

genCorrelatedData2

Generates a data frame for regression analysis.

magRange Magnify the range of a variable.

Illustrate multicollinearity in regression, part 1.

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

Convert LaTeX output from outreg to HTML markup

Minor revision of mvrnorm (from MASS) to facilitate replication

Create a newdata frame for usage in predict methods

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

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

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

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

Create sequences for plotting

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

Generic function for plotting regressions and interaction effects

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

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

rockchalk-package

rockchalk: regression functions

print.factorSummaries

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

Calculate skewness

Display pctable objects

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

plot.testSlopes

Plot testSlopes objects

Tabulates observed values and calculates entropy

Assists creation of predicted value curves for regression models.

summary.pctable

Extract presentation from a pctable object

Estimate standardized regression coefficients for all variables

print.summarize

print method for output from summarize

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

print.summary.pctable

print method for summary.pctable objects

Religious beliefs and crime rates

summarizeFactors

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

Calculates a "residual-centered" interaction regression.

summarizeNumerics

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

Hypothesis tests for Simple Slopes Objects

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