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