Greg's Miscellaneous Functions

Accompanying documentation is available in the subdirectory "doc" of the installed package.

aggregate.table Create 2-Way Table of Summary Statistics

balloonplot Plot a graphical matrix where each cell contains a dot whose size reflects the relative magnitude of the corresponding component.

bandplot Plot x-y Points with Locally Smoothed Mean and Standard Deviation

barplot2 Enhanced Bar Plots

boxplot.n Produce a Boxplot Annotated with the Number of Observations

capture Capture printed output of an R expression in a string

ci Compute Confidence Intervals

combinations Enumerate the Combinations or Permutations of the Elements of a Vector

combine Combine R Objects With a Column Labeling the Source

contrast.lm Compute and test arbitrary contrasts for regression objects (Depreciated, use 'fit.contrasts' instead.)

CrossTable Cross Tabulation with Tests for Factor Independence

ddirichlet Functions for the Dirichlet Distribution

estimable Compute and test estimable linear functions of the fitted coefficients (including contrasts) of regression objects

factorial Compute factorial function

fast.prcomp Efficient computation of principal components and singular value decompositions.

fast.svd Efficient computation of principal components and singular value decompositions.

fit.contrast Compute and test arbitrary contrasts for regression objects

glh.test Test a General Linear Hypothesis for a Regression Model

hist2d Compute and Plot a 2-Dimensional Histogram

iapply Undocumented functions

interleave Interleave Rows of Data Frames or Matrices

inv.logit Generalized logit and inverse logit function

lfactorial Compute factorial function

logit Generalized logit and inverse logit function

lowess Scatter Plot Smoothing

make.contrasts Construct a User-Specified Contrast Matrix

matchcols Select columns names matching certain critera

nobs Compute the Number of Non-missing Observations

permutations Enumerate the Combinations or Permutations of the Elements of a Vector

permute Randomly Permute the Elements of a Vector

plotCI Plot Error Bars

plotmeans Plot Group Means and Confidence Intervals

print.glh.test Test a General Linear Hypothesis for a Regression Model

qqnorm.aov Makes a half or full normal plot for the effects from an aov model

quantcut Create a Factor Variable Using the Quantiles of a Continuous Variable

rdirichlet Functions for the Dirichlet Distribution

rename.vars Rename variables in a dataframe

reorder.factor Reorder the Levels of a Factor

residplot Undocumented functions

running Apply a Function Over Adjacent Subsets of a Vector

running2 Apply a Function Over Adjacent Subsets of a Vector

space Space points in an x-y plot so they don't overlap.

sprint Capture printed output of an R expression in a string

summary.glh.test Test a General Linear Hypothesis for a Regression Model

textplot Display text information in a graphics plot.

trim Remove leading and trailing spaces from character strings

wapply Compute the Value of a Function Over a Local Region Of An X-Y Plot

aggregate.table	Create 2-Way Table of Summary Statistics
balloonplot	Plot a graphical matrix where each cell contains a dot whose size reflects the relative magnitude of the corresponding component.
bandplot	Plot x-y Points with Locally Smoothed Mean and Standard Deviation
barplot2	Enhanced Bar Plots
boxplot.n	Produce a Boxplot Annotated with the Number of Observations
capture	Capture printed output of an R expression in a string
ci	Compute Confidence Intervals
combinations	Enumerate the Combinations or Permutations of the Elements of a Vector
combine	Combine R Objects With a Column Labeling the Source
contrast.lm	Compute and test arbitrary contrasts for regression objects (Depreciated, use 'fit.contrasts' instead.)
CrossTable	Cross Tabulation with Tests for Factor Independence
ddirichlet	Functions for the Dirichlet Distribution
estimable	Compute and test estimable linear functions of the fitted coefficients (including contrasts) of regression objects
factorial	Compute factorial function
fast.prcomp	Efficient computation of principal components and singular value decompositions.
fast.svd	Efficient computation of principal components and singular value decompositions.
fit.contrast	Compute and test arbitrary contrasts for regression objects
glh.test	Test a General Linear Hypothesis for a Regression Model
hist2d	Compute and Plot a 2-Dimensional Histogram
iapply	Undocumented functions
interleave	Interleave Rows of Data Frames or Matrices
inv.logit	Generalized logit and inverse logit function
lfactorial	Compute factorial function
logit	Generalized logit and inverse logit function
lowess	Scatter Plot Smoothing
make.contrasts	Construct a User-Specified Contrast Matrix
matchcols	Select columns names matching certain critera
nobs	Compute the Number of Non-missing Observations
permutations	Enumerate the Combinations or Permutations of the Elements of a Vector
permute	Randomly Permute the Elements of a Vector
plotCI	Plot Error Bars
plotmeans	Plot Group Means and Confidence Intervals
print.glh.test	Test a General Linear Hypothesis for a Regression Model
qqnorm.aov	Makes a half or full normal plot for the effects from an aov model
quantcut	Create a Factor Variable Using the Quantiles of a Continuous Variable
rdirichlet	Functions for the Dirichlet Distribution
rename.vars	Rename variables in a dataframe
reorder.factor	Reorder the Levels of a Factor
residplot	Undocumented functions
running	Apply a Function Over Adjacent Subsets of a Vector
running2	Apply a Function Over Adjacent Subsets of a Vector
space	Space points in an x-y plot so they don't overlap.
sprint	Capture printed output of an R expression in a string
summary.glh.test	Test a General Linear Hypothesis for a Regression Model
textplot	Display text information in a graphics plot.
trim	Remove leading and trailing spaces from character strings
wapply	Compute the Value of a Function Over a Local Region Of An X-Y Plot