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