Residuals from the regression of each column of a
data.frame against all the other columns.
plot a chisquare or a F-curve.
Panel functions for tsdiagplot.
Support software for
Statistical Analysis and Data Display
by
Richard M. Heiberger and Burt Holland
AE (Adverse Events) dotplot of incidence and relative risk
Compute and plot oneway analysis of covariance
Class "ancova" Analysis of Covariance
Plot all main effects and twoway interactions in a multifactor design
Rearranges and improves the legibility of the output from
the stepwise function in S-Plus.
trellis panel function, with labeled rows and columns and without
strip labels.
Helper functions for regr2.plot
do.formula.trellis.xysplom
Interprets model formulas for xysplom and extended bwplots
Logistic function and its inverse.
MCA multiple comparisons analysis (pairwise)
ANOVA table from the group sample sizes, means, and standard deviations.
Calculate or plot the odds ratio for a 2x2 table of counts.
Homogeneity of Variance Plot
seqplot with confidence bands for the forecast region.
Retain averaging behavior that was previously available in glht.
Intermediate f and chisq functions to simplify writing
for both R and S-Plus.
make x- and y-axis labels
Repair design error in S-Plus arima.diag
Interaction plot, with an option to print standard error bars.
Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
MMC (Mean--mean Multiple Comparisons) plot.
Default Panel Function for ci.plot
Exports a graph to an EPS file.
partial correlations
Function based on S-Plus panel.pairs to add the subpanel.scales
and panel.cex arguments.
Draw a "ladder of powers" plot, plotting each of several powers
of y against the same powers of x.
MMC (mean--mean multiple comparisons) plots from the sufficient
statistics for a one-way design.
Resolve filenames relative to the HH directory.
specialized axis function for interaction2wt.
Returns a value for the diagonal of NA and NULL arguments.
Multiple comparisons plot that gives independent user control
over the appearance of the significant and not significant comparisons.
Construct an orthogonal matrix which is an arbitrary completion
of the column space of the input set of columns.
Force all comparisons in a "multicomp" object to have the same sign.
Class "positioned", extends "ordered" to specify the position
for graphing the levels of a factor.
Miscellaneous functions that I wish were in or consistent between
S-Plus and R.
Analysis of variance from sufficient statistics for groups.
Update a multicomp object by ordering its contrasts.
plot a normal or a t-curve with both x and z axes.
plot x and y,
with optional straight line fit and display of squared residuals
Homogeneity of Variance
loop through all attached directories looking for pattern
Plot confidence and prediction intervals for simple linear regression
Find or assign the implied position for graphing the levels of a
factor.
A new class "positioned", which inherits from "ordered" and "factor",
is defined.
Evaluate lm model with highest adjusted $R^2$.
Extension to S-Plus trellis to allow transposed plots.
place separate keys to the left of each row of a trellis
3D plot of z against x and y,
with regression plane fit and display of squared residuals.
push and pop a grid viewport, turn clipping off, change scale.
panel method for xysplom.
Print a "tsdiagplot" object.
Plot all main effects and twoway interactions in a multifactor design
Dotplot with evenly spaced tiebreakers.
plot squared residuals in inches to match the y-dimension
MMC (mean--mean multiple comparisons) plots.
Loop through a series of ARIMA models and display coordinated
tables and diagnoastic graphs.
Residual plots for a linear model.
summary and print and subscript methods for tsdiagplot and related objects.
Times series diagnostic plots for a structured set of
ARIMA models.
scatterplot matrix with potentially different sets of variables
on the rows and columns.
Coordinated time series and ACF and PCF plots.
interaction method for positioned factors.
Display tabular results for Best Subsets Regression.
Conditional Execution for R or S-Plus
Calculates the mean, standard deviation, and number of
observations in each group of a data.frame that has one continuous
variable and two factors.
Initializing Trellis Displays
panel.bwplot.intermediate.hh
Panel functions for bwplot.
case statistics for regression analysis
Count the number of parameters in an ARIMA model specification.
Turn off the coloring in the trellis strip labels. Color 0 is the
background color.
Support functions in R for MMC (mean--mean multiple comparisons) plots.
strip function that is able to place the correlation or regression
coefficient into the strip label.
Calculate the Variance Inflation Factor
Interchange the x- and y-axes for an S-Plus trellis object.
Interchange the conditioning variables for an R trellis object.
Time series plot.
Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.