| rockchalk-package | rockchalk: regression functions |
| addLines | Superimpose regression lines on a plotted plane |
| centerNumerics | Find numeric columns, center them, re-name them, and join them with the original data. |
| centralValues | Central Tendency estimates for variables |
| cheating | Cheating and Looting in Japanese Electoral Politics |
| checkIntFormat | A way of checking if a string is a valid file name. |
| checkPosDef | Check a matrix for positive definitness |
| combineLevels | recode a factor by "combining" levels |
| cutByQuantile | Calculates the "center" quantiles, always including the median, when n is odd. |
| cutBySD | Returns center values of x, the mean, mean-std.dev, mean+std.dev |
| cutByTable | Select most frequently occurring values from numeric or categorical variables. |
| cutFancy | Create an ordinal variable by grouping numeric data input. |
| descriptiveTable | Summary stats table-maker for regression users |
| dir.create.unique | Create a uniquely named directory. Appends number & optionally date to directory name. |
| drawnorm | draw a normal distribution with beautiful illustrations |
| focalVals | Create a focal value vector. |
| formatSummarizedFactors | Prints out the contents of an object created by summarizeFactors in the style of base::summary |
| formatSummarizedNumerics | Reformat numeric summarize output as one column per variable, similar to R summary |
| genCorrelatedData | Generates a data frame for regression analysis |
| genCorrelatedData2 | Generates a data frame for regression analysis. |
| genCorrelatedData3 | Generate correlated data for simulations (third edition) |
| genX | Generate correlated data (predictors) for one unit |
| getAuxRsq | retrieves estimates of the coefficient of determination from a list of regressions |
| getDeltaRsquare | Calculates the delta R-squares, also known as squared semi-partial correlation coefficients. |
| getFocal | Select focal values from an observed variable. |
| getFocal.character | Select focal values from an observed variable. |
| getFocal.default | Select focal values from an observed variable. |
| getFocal.factor | Select focal values from an observed variable. |
| getPartialCor | Calculates partial correlation coefficients after retrieving data matrix froma fitted regression model |
| getVIF | Converts the R-square to the variance inflation factor |
| gmc | Group Mean Center: Generate group summaries and individual deviations within groups |
| kurtosis | Calculate excess kurtosis |
| lazyCor | Create correlation matrices. |
| lazyCov | Create covariance matrix from correlation and standard deviation information |
| lmAuxiliary | Estimate leave-one-variable-out regressions |
| magRange | magRange Magnify the range of a variable. |
| makeSymmetric | Create Symmetric Matrices, possibly covariance or correlation matrices, or check a matrix for symmetry and serviceability. |
| makeVec | makeVec for checking or creating vectors |
| mcDiagnose | Multi-collinearity diagnostics |
| mcGraph1 | Illustrate multicollinearity in regression, part 1. |
| mcGraph2 | Illustrate multicollinearity in regression, part 1. |
| mcGraph3 | Illustrate multicollinearity in regression, part 1. |
| meanCenter | meanCenter |
| meanCenter.default | meanCenter |
| model.data | Create a "raw" (UNTRANSFORMED) data frame equivalent to the input data that would be required to fit the given model. |
| model.data.default | Create a data frame suitable for estimating a model |
| mvrnorm | Minor revision of mvrnorm (from 'MASS') to facilitate replication |
| newdata | Create a newdata frame for usage in predict methods |
| newdata.default | Create a newdata frame for usage in predict methods |
| outreg | Creates a publication quality result table for regression models. Works with models fitted with lm, glm, as well as lme4. |
| outreg2HTML | Convert LaTeX output from outreg to HTML markup |
| padW0 | Pad with 0's. |
| pctable | Creates a cross tabulation with counts and percentages |
| pctable.character | Creates a cross tabulation with counts and percentages |
| pctable.default | Creates a cross tabulation with counts and percentages |
| pctable.formula | Creates a cross tabulation with counts and percentages |
| perspEmpty | perspEmpty |
| plot.testSlopes | Plot testSlopes objects |
| plotCurves | Assists creation of predicted value curves for regression models. |
| plotFancy | Regression plots with predicted value lines, confidence intervals, color coded interactions |
| plotFancyCategories | Draw display for discrete predictor in plotSlopes |
| plotPlane | Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object |
| plotPlane.default | Draw a 3-D regression plot for two predictors from any linear or nonlinear lm or glm object |
| plotSeq | Create sequences for plotting |
| plotSlopes | Generic function for plotting regressions and interaction effects |
| plotSlopes.lm | Generic function for plotting regressions and interaction effects |
| predict.rcreg | Calculates a "residual-centered" interaction regression. |
| predictCI | Calculate a predicted value matrix (fit, lwr, upr) for a regression, either lm or glm, on either link or response scale. |
| predictOMatic | Create predicted values after choosing values of predictors. Can demonstrate marginal effects of the predictor variables. |
| print.pctable | Display pctable objects |
| print.summarize | print method for output from summarize |
| print.summary.pctable | print method for summary.pctable objects |
| rbindFill | Stack together data frames |
| religioncrime | Religious beliefs and crime rates |
| removeNULL | Remove NULL values variables from a list |
| residualCenter | Calculates a "residual-centered" interaction regression. |
| residualCenter.default | Calculates a "residual-centered" interaction regression. |
| rockchalk | rockchalk: regression functions |
| se.bars | Draw standard error bar for discrete variables |
| skewness | Calculate skewness |
| standardize | Estimate standardized regression coefficients for all variables |
| standardize.lm | Estimate standardized regression coefficients for all variables |
| summarize | Sorts numeric from discrete variables and returns separate summaries for those types of variables. |
| summarizeFactors | Extracts non-numeric variables, calculates summary information, including entropy as a diversity indicator. |
| summarizeNumerics | Extracts numeric variables and presents an summary in a workable format. |
| summary.factor | Tabulates observed values and calculates entropy |
| summary.pctable | Extract presentation from a pctable object |
| testSlopes | Hypothesis tests for Simple Slopes Objects |
| vech2Corr | Convert the vech (column of strictly lower trianglar values from a matrix) into a correlation matrix. |
| vech2mat | Convert a half-vector (vech) into a matrix. |
| waldt | T-test for the difference in 2 regression parameters |