formatter for merMod objects copied from lme4
Create correlation matrices.
Select focal values from an observed variable.
Display pctable objects
Extract presentation from a pctable object
Hypothesis tests for Simple Slopes Objects
Creates a publication quality result table for regression models.
outreg0 is the last version in the last development stream.
magRange
Magnify the range of a variable.
Find numeric columns, center them, re-name them, and join them with the original data.
Assists creation of predicted value curves for regression models.
Calculate a predicted value matrix (fit, lwr, upr) for a
regression, either lm or glm, on either link or response scale.
Calculate skewness
Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix.
A way of checking if a string is a valid file name.
Create a uniquely named directory. Appends number & optionally date to directory
name.
Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model
Generates a data frame for regression analysis
Create a data frame suitable for estimating a model
Creates a publication quality result table for
regression models. Works with models fitted with lm, glm, as well
as lme4.
Generic function for plotting regressions and interaction effects
Estimate standardized regression coefficients for all variables
Minor revision of mvrnorm (from MASS) to facilitate replication
Calculates the "center" quantiles, always including the median, when n is odd.
Calculate excess kurtosis
recode a factor by "combining" levels
Estimate leave-one-variable-out regressions
Pad with 0's.
Extracts non-numeric variables, calculates summary information,
including entropy as a diversity indicator.
Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object
print method for summary.pctable objects
Create a focal value vector.
Select most frequently occurring values from numeric or categorical variables.
retrieves estimates of the coefficient of determination from a list of regressions
Multi-collinearity diagnostics
Extracts numeric variables and presents an alphabetized summary in
a workable format.
Create a newdata frame for usage in predict methods
perspEmpty
Create covariance matrix from correlation and standard deviation
information
Create sequences for plotting
Central Tendency estimates for variables
Check a matrix for positive definitness
Converts the R-square to the variance inflation factor
Generates a data frame for regression analysis.
Create Symmetric Matrices, possibly covariance or correlation matrices, or check a matrix for symmetry and serviceability.
Regression plots with predicted value lines, confidence intervals, color coded interactions
rockchalk: regression functions
Calculates a "residual-centered" interaction regression.
Returns center values of x, the mean, mean-std.dev, mean+std.dev
Superimpose regression lines on a plotted plane
Calculates the delta R-squares, also known as squared
semi-partial correlation coefficients.
meanCenter
Convert LaTeX output from outreg to HTML markup
Create a "raw" (UNTRANSFORMED) data frame equivalent to the input
data that would be required to fit the given model.
Plot testSlopes objects
Create predicted values after choosing values of predictors. Can
demonstrate marginal effects of the predictor variables.
Cheating and Looting in Japanese Electoral Politics
Prints out the contents of an object created by summarizeFactors
in the style of base::summary
Sorts numeric from factor variables and returns separate
summaries for those types of variables.
Tabulates observed values and calculates entropy
Creates a cross tabulation with counts and percentages
Convert a half-vector (vech) into a matrix.
makeVec for checking or creating vectors
Illustrate multicollinearity in regression, part 1.
Religious beliefs and crime rates