A B C D E F G H I L M N O P R S U W X Z
anchor.gradient | Create a color gradient with a color for zero |
anchored.gradient | Create a color gradient with a color for zero |
auto.layout | Automatically select the layout. |
boxcox.R | Transform data using a boxcox transformation |
boxcoxR | Transform data using a boxcox transformation |
calcT | Calculate inverse tangent. |
chisq.post.hoc | Tests for significant differences among all pairs of populations in a chi-square test. |
clear | Clear memory of all objects |
col.table | Create a color-coded table in latex |
color.gradient | Create a color gradient with a color for zero |
color.table | Create a color-coded table in latex |
colored.table | Create a color-coded table in latex |
compute.theta | 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 Columns |
fakeMedicalData | Fictitious Medical Dataset |
get.cols | Extract column index |
gradient | Create a gradiented legend |
gradient.legend | Create a gradiented legend |
hash | Create useless hashes |
imageInteraction | Plot an two-way quantitative interaction in an image plot |
integer.to.colors | Convert from numbers to colors |
integers.to.colors | Convert from numbers to colors |
intersperse | Intersperse elements of Two+ Vectors |
last.row | Return only one row per ID |
last.sample | Return only one row per ID |
lastSample | Return only one row per ID |
lastsample | Return only one row per ID |
make.formula | Convert strings to a formula |
make.null | Drop or keep variables in a dataset |
make.symmetric | Force a matrix to be symmetric |
missing.Vals | Summary of Missing Data |
missing.vals | Summary of Missing Data |
missingVals | Summary of Missing Data |
missingvals | Summary of Missing Data |
mv.Rnorm | Randomly Generate Multivariate Normal Data |
mv.rnorm | Randomly Generate Multivariate Normal Data |
mvrnorm | Randomly Generate Multivariate Normal Data |
number.to.color | Convert from numbers to colors |
number.to.colors | Convert from numbers to colors |
numbers.to.colors | Convert from numbers to colors |
numberToColor | Convert from numbers to colors |
numberToColors | Convert from numbers to colors |
one.row | Return only one row per ID |
p.val.xtable | Convert p-values into strings with inequalities. |
p.value | Convert p-values into strings with inequalities. |
p.values | Convert p-values into strings with inequalities. |
p.xtable | Convert p-values into strings with inequalities. |
par1 | Change default par parameters |
par2 | Change default par parameters |
plot | Plot rfInterp Summary |
plot.rfInterp | Plot rfInterp Summary |
plot.rfPred | Plot rfPred Summary |
plot.rfThresh | rfThesh Summary |
plots.prism | Plot prism-like Plots |
plotSigBars | Add significance bars to a prism plot |
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 |
prismPlots | Plot prism-like Plots |
prismplots | Plot prism-like Plots |
pval.xtable | Convert p-values into strings with inequalities. |
r | Extract variable column indices |
r.crit | Compute critical r or p. |
random.correlation | Generate a random correlation matrix |
read.fife | Read in a dataset and load the meta-data for a file |
read.fifer | Read in a dataset and load the meta-data for a file |
read.meta | Read in a dataset and load the meta-data for a file |
read.meta.data | Read in a dataset and load the meta-data for a file |
read.metadata | Read in a dataset and load the meta-data for a file |
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 |
rotate.graph | Rotate a graph using polar coordinates |
rotateGraph | Rotate a graph using polar coordinates |
rotategraph | Rotate a graph using polar coordinates |
roxtemp | Generate a Roxygen Template |
scale.Break | Scatterplot with a Scale Break |
scale.break | Scatterplot with a Scale Break |
scaleB | Standardize coefficients |
scaleBreak | Scatterplot with a Scale Break |
scalebreak | Scatterplot with a Scale Break |
scaleIt | Scale a variable |
spearman.plot | Spearman plot |
stratified | Sample from a 'data.frame' according to a stratification variable |
string.to.color | Convert between strings to colors |
string.to.colors | Convert between strings to colors |
stringtocolor | Convert between strings to colors |
stringToColors | Convert between strings to colors |
subsetString | Extract only part of a string |
SummarizeContinuousDefault | Summarize a continuous vector with mean plus/minus standard deviation |
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 |
write.fifer | Write a dataset and load the meta-data |
write.meta | Write a dataset and load the meta-data |
write.meta.data | Write a dataset and load the meta-data |
write.metadata | Write a dataset and load the meta-data |
xtable.rfInterp | Prepare xtable Summary |
xtable.rfPred | Prepare xtable Summary |
z.test | Perform a z test |