Superimpose regression lines on a plotted plane
recode a factor by "combining" levels
retrieves estimates of the coefficient of determination from a list of regressions
Create a data frame suitable for estimating a model
Generic function for plotting regressions and interaction effects
Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model
A way of checking if a string is a valid file name.
Creates a publication quality result table for
regression models. Works with models fitted with lm, glm, as well
as lme4.
Plot testSlopes objects
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
Hypothesis tests for Simple Slopes Objects
Returns center values of x, the mean, mean-std.dev, mean+std.dev
Create correlation matrices.
Religious beliefs and crime rates
Calculates a "residual-centered" interaction regression.
Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix.
Generates a data frame for regression analysis
Calculates the "center" quantiles, always including the median, when n is odd.
magRange
Magnify the range of a variable.
Estimate leave-one-variable-out regressions
Sorts numeric from factor variables and returns separate
summaries for those types of variables.
Converts the R-square to the variance inflation factor
Create Symmetric Matrices, possibly covariance or correlation matrices, or check a matrix for symmetry and serviceability.
Central Tendency estimates for variables
Check a matrix for positive definitness
formatter for merMod objects copied from lme4
Create covariance matrix from correlation and standard deviation
information
Select focal values from an observed variable.
Create a "raw" (UNTRANSFORMED) data frame equivalent to the input
data that would be required to fit the given model.
Select most frequently occurring values from numeric or categorical variables.
Display pctable objects
Convert a half-vector (vech) into a matrix.
Assists creation of predicted value curves for regression models.
Create predicted values after choosing values of predictors. Can
demonstrate marginal effects of the predictor variables.
Extracts numeric variables and presents an alphabetized summary in
a workable format.
Illustrate multicollinearity in regression, part 1.
Create sequences for plotting
Regression plots with predicted value lines, confidence intervals, color coded interactions
perspEmpty
Extract presentation from a pctable object
Estimate standardized regression coefficients for all variables
print method for summary.pctable objects
Create a focal value vector.
Calculates the delta R-squares, also known as squared
semi-partial correlation coefficients.
Multi-collinearity diagnostics
meanCenter
Convert LaTeX output from outreg to HTML markup
makeVec for checking or creating vectors
Find numeric columns, center them, re-name them, and join them with the original data.
Create a newdata frame for usage in predict methods
Cheating and Looting in Japanese Electoral Politics
Pad with 0's.
Prints out the contents of an object created by summarizeFactors
in the style of base::summary
Minor revision of mvrnorm (from MASS
) to facilitate replication
Extracts non-numeric variables, calculates summary information,
including entropy as a diversity indicator.
Calculate a predicted value matrix (fit, lwr, upr) for a
regression, either lm or glm, on either link or response scale.
Generates a data frame for regression analysis.
Miscellaneous regression functions
Creates a publication quality result table for regression models.
outreg0 is the last version in the last development stream.
Tabulates observed values and calculates entropy