Multi-collinearity diagnostics
Cheating and Looting in Japanese Electoral Politics
recode a factor by "combining" levels
Create covariance matrix from correlation and standard deviation
information
Creates a "raw" (UNTRANSFORMED) data frame equivalent
to the input data that would be required to fit the given model.
Regression plots with predicted value lines, confidence intervals, color coded interactions
Generic function for plotting regressions and interaction effects
Miscellaneous regression functions
predictOMatic creates predicted values for a fitted regression
model. This demonstrates marginal effects of the predictor
variables.
perspEmpty
Create Symmetric Matrices, possibly covariance or correlation matrices, or check a matrix for symmetry and serviceability.
makeVec for checking or creating vectors
Check a matrix for positive definitness
Converts the R-square to the variance inflation factor
Generates a data frame for regression analysis.
Select focal values from factor variables.
Creates a publication quality result table for regression models.
outreg0 is the last version in the last development stream.
Religious beliefs and crime rates
Estimate standardized regression coefficients for all variables
Generates a data frame for regression analysis
Create correlation matrices.
Estimate leave-one-variable-out regressions
Minor revision of mvrnorm (from MASS) to facilitate replication
Calculate a predicted value matrix (fit, lwr, upr) for a
regression, either lm or glm, on either link or response scale.
Creates a publication quality result table for
regression models.
Calculates the "center" quantiles, always including the median, when n is odd.
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.
Extracts non-numeric variables, calculates summary information,
including entropy as a diversity indicator.
Extracts numeric variables and presents an alphabetized summary in
a workable format.
Select focal values from a numeric variable
Calculates the delta R-squares, also known as squared
semi-partial correlation coefficients.
Convert a half-vector (vech) into a matrix.
Hypothesis tests for Simple Slopes Objects
Find numeric columns, center them, re-name them, and join them with the original data.
mcGraph2 draws a 3-D representation of a scatterplot with shadows in the x1-x2 plane.
mcGraph3 draws a 3-dimensional scatter and a regression plane
Calculates a "residual-centered" interaction regression.
Tabulates observed values and calculates entropy
Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix.
Create a focal value vector.
retrieves estimates of the coefficient of determination from a list of regressions
magRange
Magnify the range of a variable.
Central Tendency estimates for variables
Convert an outreg result to HTML markup
Assists creation of predicted value curves for regression models.
Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object
Illustrate the effect of multicollinearity in regression.
Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model
Select most frequently occurring values from numeric or categorical variables.
Select focal values from an observed variable.
Superimpose regression lines on a plotted plane
Creates the newdata frame required in predict methods.
Returns center values of x, the mean, mean-std.dev, mean+std.dev
meanCenter
Create sequences for plotting