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rockchalk (version 1.8.86)

Regression Estimation and Presentation

Description

A collection of functions for ease of presentation and interpretation of regression analysis. These functions are used to produce the statistics lectures in http://pj.freefaculty.org/guides. There are functions to explore the effect (or lack thereof) from "mean centering," "residual centering", and standardization. The vignette "rockchalk" offers a fairly comprehensive overview. The vignette "Rstyle" has advice about coding in R. See the outreg function for a convenient way to generate regression models for reports. For nice, easy to use pictures, see plotSlopes, plotCurves, plotPlane. 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

1.8.86

License

GPL (>= 3.0)

Maintainer

Paul Johnson

Last Published

August 13th, 2014

Functions in rockchalk (1.8.86)

Central Tendency estimates for variables

Minor revision of mvrnorm (from MASS) to facilitate replication

mcGraph2 draws a 3-D representation of a scatterplot with shadows in the x1-x2 plane.

Converts the R-square to the variance inflation factor

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

Create a newdata frame for usage in predict methods

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

Tabulates observed values and calculates entropy

getDeltaRsquare

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

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

model.data.default

Create a data frame suitable for estimating a model

Select focal values from an observed variable.

Convert LaTeX output from outreg to HTML markup

print.factorSummaries

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

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

getFocal.factor

Select focal values from factor variables.

Multi-collinearity diagnostics

mcGraph3 draws a 3-dimensional scatter and a regression plane

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

Superimpose regression lines on a plotted plane

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

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

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

Illustrate the effect of multicollinearity in regression.

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

Hypothesis tests for Simple Slopes Objects

Create a focal value vector.

rockchalk-package

Miscellaneous regression functions

Create correlation matrices.

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

genCorrelatedData

Generates a data frame for regression analysis

Estimate leave-one-variable-out regressions

magRange Magnify the range of a variable.

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

Generic function for plotting regressions and interaction effects

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

formatter for merMod objects copied from lme4

Select most frequently occurring values from numeric or categorical variables.

getFocal.default

Select focal values from a numeric variable

makeVec for checking or creating vectors

Religious beliefs and crime rates

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

Calculates a "residual-centered" interaction regression.

Estimate standardized regression coefficients for all variables

recode a factor by "combining" levels

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

Check a matrix for positive definitness

Create covariance matrix from correlation and standard deviation information

genCorrelatedData2

Generates a data frame for regression analysis.

plot.testSlopes

Plot testSlopes objects

summarizeFactors

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

summarizeNumerics

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

Assists creation of predicted value curves for regression models.

Cheating and Looting in Japanese Electoral Politics

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

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

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