Statistical Analysis and Data Display: Heiberger and Holland


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Documentation for package `HH' version 1.18-3

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A B C D E G H I L M N O P R S T U V X misc

-- --

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

-- A --

analysis of covariance Compute and plot oneway analysis of covariance
ancova Compute and plot oneway analysis of covariance
ancova-class Class "ancova" 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.
aov.sufficient Analysis of variance from sufficient statistics for groups.
as.double.positioned 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.
as.glht Support functions in R for MMC (mean-mean multiple comparisons) plots.
as.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
as.numeric.positioned 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.
as.positioned 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.
axis.i2wt specialized axis function for interaction2wt.

-- B --

bwplot.formula Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class.

-- C --

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
compute.packet.new Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class.
covariance Compute and plot oneway analysis of covariance

-- D --

do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots

-- E --

export.eps Exports a graph to an EPS file.

-- G --

glht.mmc MMC (mean-mean multiple comparisons) plots.
grid.xaxis.hh make x- and y-axis labels
grid.yaxis.hh make x- and y-axis labels
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet

-- H --

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

-- I --

if.R Conditional Execution for R or S-Plus
interaction.positioned interaction method for positioned factors.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
intxplot Interaction plot, with an option to print standard error bars.
is.numeric.positioned 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.
is.positioned 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.

-- L --

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.
legendGrob2wt place separate keys to the left of each row of a trellis
lm.case case statistics for regression analysis

-- M --

make.xaxis.hh.labels make x- and y-axis labels
make.yaxis.hh.labels make x- and y-axis labels
mcalinfct MCA multiple comparisons analysis (pairwise)
MMC MMC (mean-mean multiple comparisons) plots.
mmc MMC (mean-mean multiple comparisons) plots.
mmc.mean MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design.
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 "multicomp" object to have the same sign.

-- N --

norm.curve plot a normal or a t-curve with both x and z axes.
norm.observed plot a normal or a t-curve with both x and z axes.
norm.setup plot a normal or a t-curve with both x and z axes.

-- O --

objip loop through all attached directories looking for pattern
odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
orthog.construct Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.

-- P --

panel.ancova Compute and plot oneway analysis of covariance
panel.bwplot.intermediate.hh Panel functions for bwplot.
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
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.intxplot Interaction plot, with an option to print standard error bars.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
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 Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
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.
position 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.
positioned 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.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
predict.ancova Compute and plot oneway analysis of covariance
print.ancova Compute and plot oneway analysis of covariance
print.glht.mmc.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
print.mmc.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
print.multicomp Support functions in R for MMC (mean-mean multiple comparisons) plots.
print.positioned 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.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.

-- R --

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
residual.plots Residual plots for a linear model.

-- S --

strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
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.
sufficient Calculates the mean, standard deviation, and number of observations in each group of a data.frame that has one continuous variable and two factors.
summary.ancova Compute and plot oneway analysis of covariance

-- T --

t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Identity function for an R lattice object.

-- U --

unique.positioned 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.
unpositioned 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.

-- V --

vcov.sufficient Analysis of variance from sufficient statistics for groups.
vif Calculate the Variance Inflation Factor

-- X --

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.

-- misc --

[.mmc.multicomp MMC (mean-mean multiple comparisons) plots.
[.positioned 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.