Cheating and Looting in Japanese Electoral Politics
recode a factor by "combining" levels
Select most frequently occurring values from numeric or categorical variables.
Superimpose regression lines on a plotted plane
A way of checking if a string is a valid file name.
Central Tendency estimates for variables
Returns center values of x, the mean, mean-std.dev, mean+std.dev
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.
Check a matrix for positive definitness
Create a focal value vector.
Summary stats table-maker for regression users
Create an ordinal variable by grouping numeric data input.
Reformat numeric summarize output as one column per variable,
similar to R summary
Group Mean Center: Generate group summaries and individual deviations within groups
Generates a data frame for regression analysis
Calculate excess kurtosis
Converts the R-square to the variance inflation factor
Prints out the contents of an object created by summarizeFactors
in the style of base::summary
Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model
draw a normal distribution with beautiful illustrations
Calculates the delta R-squares, also known as squared
semi-partial correlation coefficients.
Create a uniquely named directory. Appends number & optionally date to directory
name.
Create correlation matrices.
Illustrate multicollinearity in regression, part 1.
Multi-collinearity diagnostics
meanCenter
Generates a data frame for regression analysis.
Create Symmetric Matrices, possibly covariance or correlation
matrices, or check a matrix for symmetry and serviceability.
Create covariance matrix from correlation and standard deviation
information
Regression plots with predicted value lines, confidence intervals, color coded interactions
Draw display for discrete predictor in plotSlopes
Create a "raw" (UNTRANSFORMED) data frame equivalent to the input
data that would be required to fit the given model.
Create a data frame suitable for estimating a model
Generate correlated data (predictors) for one unit
Creates a cross tabulation with counts and percentages
Minor revision of mvrnorm (from MASS) to facilitate replication
perspEmpty
retrieves estimates of the coefficient of determination from a list of regressions
Generate correlated data for simulations (third edition)
Plot testSlopes objects
print method for output from summarize
Assists creation of predicted value curves for regression models.
magRange
Magnify the range of a variable.
Select focal values from an observed variable.
Creates a publication quality result table for
regression models. Works with models fitted with lm, glm, as well
as lme4.
Estimate leave-one-variable-out regressions
Create a newdata frame for usage in predict methods
print method for summary.pctable objects
rockchalk: regression functions
Create sequences for plotting
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
Calculate a predicted value matrix (fit, lwr, upr) for a
regression, either lm or glm, on either link or response scale.
Convert LaTeX output from outreg to HTML markup
Create predicted values after choosing values of predictors. Can
demonstrate marginal effects of the predictor variables.
makeVec for checking or creating vectors
Pad with 0's.
Sorts numeric from discrete variables and returns separate
summaries for those types of variables.
Extracts non-numeric variables, calculates summary information,
including entropy as a diversity indicator.
Tabulates observed values and calculates entropy
Extracts numeric variables and presents an summary in
a workable format.
Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix.
Convert a half-vector (vech) into a matrix.
Extract presentation from a pctable object
Calculate skewness
Display pctable objects
Estimate standardized regression coefficients for all variables
Hypothesis tests for Simple Slopes Objects
Stack together data frames
Remove NULL values variables from a list
Religious beliefs and crime rates
Draw standard error bar for discrete variables
Calculates a "residual-centered" interaction regression.
T-test for the difference in 2 regression parameters