Man pages for dustinfife/fifer
A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis
| anchored.gradient | Create a color gradient with a color for zero |
| auto.layout | Automatically select the layout. |
| bin.variables | Bin them vars |
| boxcoxR | Transform data using a boxcox transformation |
| chisq.plot | Plot Expected and Observed Frequencies (Chi Square) |
| chisq.post.hoc | Tests for significant differences among all pairs of... |
| ci.mean | Compute the confidence interval of a mean |
| clear | Clear memory of all objects |
| colored.table | Create a color-coded table in latex |
| computeTheta | Calculate inverse tangent. |
| contents | View the contents (functions) of a package |
| cor2cov | Correlation Matrix to Covariance Matrix Conversion |
| demographics | Summarize a Data Set (Demographics) |
| densityPlotR | Generate a density plot using a formula |
| drop.columns | Drop (or keep) all columns containing a vector of strings |
| ellipse | Plots an Ellipse |
| excelCols | Generate Excel column labels |
| excelMatch | Obtain column number or variable name from Excel named... |
| fakeMedicalData | Fictitious Medical Dataset |
| generate.data | Simulate multivariate normal data |
| generate_polynomial | Generate polynomial random data |
| get.cols | Extract column index |
| gradient.legend | Create a gradiented legend |
| hash | Create useless hashes |
| icc | Compute the ICC from a lmer (package lme4) model |
| imageInteraction | Plot an two-way quantitative interaction in an image plot |
| improve.fit | Compare the improvement in fit from a baseline model |
| impute.me | Multiple Imputation on a Model |
| impute.model.comparison | Compute Bayes Factor for a Imputed Model |
| intersperse | Intersperse elements of Two+ Vectors |
| jit.func | How to display data |
| last.sample | Return only one row per ID |
| make.data | Basic function for simulating bivariate data |
| make.null | Drop or keep variables in a dataset |
| make.symmetric | Force a matrix to be symmetric |
| missing.vals | Summary of Missing Data |
| mv.rnorm | Randomly Generate Multivariate Normal Data |
| number.to.colors | Convert from numbers to colors |
| par1 | Change default par parameters |
| par2 | Change default par parameters |
| plot.rfInterp | Plot rfInterp Summary |
| plot.rfPred | Plot rfPred Summary |
| plot.rfThresh | rfThesh Summary |
| plotSigBars | Add significance bars to a prism plot |
| predicted.line | Create and plot a fitted line for a generalized linear model |
| print.rfInterp | Print rfInterp Summary |
| print.rfPred | Print rfPred Summary |
| print.rfThresh | Print rfThesh Summary |
| printx | Change Defaults of print.xtable |
| prism.plots | Plot prism-like Plots |
| pval.xtable | Convert p-values into strings with inequalities. |
| r | Extract variable column indices |
| random.correlation | Generate a random correlation matrix |
| raw.alph.func | Find transparency of data |
| r.crit | Compute critical r or p. |
| read.fife | Read in a dataset and load the meta-data for a file |
| related.plot | Function to create a related t test plot |
| replace | Replace values in a vector |
| rescale | Transform a variable to have a particular mean and standard... |
| residualize.lowess | Residualize a lowess function |
| rfInterp | Variable Selection with Random Forest |
| rfPred | Variable selection in Random Forest |
| rfSensitivity | Output accuracy, sensitivity, specificity, NPV, and PPV. |
| rfThresh | Variable Selection Using Random Forests |
| rotateGraph | Rotate a graph using polar coordinates |
| roxtemp | Generate a Roxygen Template |
| save_plot | Save a plot for 1080p |
| scaleB | Standardize coefficients |
| scaleBreak | Scatterplot with a Scale Break |
| scaleIt | Scale a variable |
| spearman.plot | Spearman plot |
| spread_type | Type of spread to use |
| stratified | Sample from a 'data.frame' according to a stratification... |
| string.to.colors | Convert between strings to colors |
| subset.sample | Sample the data |
| SummarizeContinuousDefault | Summarize a continuous vector with mean plus/minus standard... |
| SummarizeFactorDefault | Summarize a factor vector with count and percentages |
| SummarizeVar | Summarize a vector (continuous or factor) |
| summary.rfPred | Print a Summary Table of rfPred |
| unfactor | Convert a factor to a character (or number) |
| univariate.tests | Extract p values for a data frame |
| write.fife | Write a dataset and load the meta-data |
| x.summary | Type of x summary to use (line or mean) |
| xtable.rfInterp | Prepare xtable Summary |
| xtable.rfPred | Prepare xtable Summary |
| youtube_plot | Create a 1080p plot for YouTube |
| z.test | Perform a z test |
