Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland


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Documentation for package `HH' version 1.5

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HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
analysis of covariance Compute and plot oneway analysis of covariance
ancova Compute and plot oneway analysis of covariance
anova.ancova Compute and plot oneway analysis of covariance
anova.mean ANOVA table from the group sample sizes, means, and standard deviations.
as.hmtest Support functions in R for MMC (mean-mean multiple comparisons) plots.
as.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
ci.plot Plot confidence and prediction intervals for simple linear regression
coef.ancova Compute and plot oneway analysis of covariance
coefficients.ancova Compute and plot oneway analysis of covariance
col.hh Initializing Trellis Displays
covariance Compute and plot oneway analysis of covariance
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
export.eps Exports a graph to an EPS file.
grid.xaxis.hh make x- and y-axis labels
grid.yaxis.hh make x- and y-axis labels
HH Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
hh Resolve filenames relative to the HH directory.
HH.ROOT.DIR Resolve filenames relative to the HH directory.
hov Homogeneity of Variance
if.R Conditional Execution for R or S-Plus
interaction2wt Plot all main effects and twoway interactions in a multifactor design
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
ladder3 Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
lm.case case statistics for regression analysis
make.xaxis.hh.labels make x- and y-axis labels
make.yaxis.hh.labels make x- and y-axis labels
MMC MMC (mean-mean multiple comparisons) plots.
mmc MMC (mean-mean multiple comparisons) plots.
model.frame.ancova Compute and plot oneway analysis of covariance
multicomp MMC (mean-mean multiple comparisons) plots.
multicomp.label.change Update a multicomp object by ordering its contrasts.
multicomp.label.change.mmc.multicomp Update a multicomp object by ordering its contrasts.
multicomp.label.change.multicomp Update a multicomp object by ordering its contrasts.
multicomp.mean MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design.
multicomp.mmc MMC (mean-mean multiple comparisons) plots.
multicomp.mmc.mean MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design.
multicomp.order Update a multicomp object by ordering its contrasts.
multicomp.reverse Force all comparisons in a "hmtest" from simint to have the same sign.
norm.curve plot a normal curve with both x and z axes.
norm.setup plot a normal curve with both x and z axes.
objip loop through all attached directories looking for pattern
odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
panel.ancova Compute and plot oneway analysis of covariance
panel.bwplot.hh Panel functions for bwplot.
panel.bwplot.intermediate.hh Panel functions for bwplot.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
panel.case case statistics for regression analysis
panel.ci.plot Default Panel Function for ci.plot
panel.hov Homogeneity of Variance Plot
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.xysplom panel method for xysplom.
partial.corr partial correlations
plot.ancova Compute and plot oneway analysis of covariance
plot.case case statistics for regression analysis
plot.hov Homogeneity of Variance Plot
plot.mmc.multicomp MMC (Mean-mean Multiple Comparisons) plot.
plot.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
plot.odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
pop.vp.hh push and pop a grid viewport, turn clipping off, change scale.
predict.ancova Compute and plot oneway analysis of covariance
print.ancova Compute and plot oneway analysis of covariance
print.mmc.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
resid.squares plot squared residuals in inches to match the y-dimension
simint.mean MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design.
simint.mmc MMC (mean-mean multiple comparisons) plots.
simint.mmc.mean MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design.
simint.reverse Force all comparisons in a "hmtest" from simint to have the same sign.
strip.interaction2wt Plot all main effects and twoway interactions in a multifactor design
strip.ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
summary.ancova Compute and plot oneway analysis of covariance
t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Identity function for an R lattice object.
vif Calculate the Variance Inflation Factor
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
[.mmc.multicomp MMC (mean-mean multiple comparisons) plots.