Learn R Programming
⚠️There's a newer version (3.1-47) of this package.Take me there.

HH (version 2.1-8)

Statistical Analysis and Data Display: Heiberger and Holland

Description

Support software for Statistical Analysis and Data Display (Springer, ISBN 0-387-40270-5). This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data---showing code, graphics, and accompanying computer listings---for all the methods they cover. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises.

Copy Link

Version

Install

install.packages('HH')

Monthly Downloads

6,252

Version

2.1-8

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-8)

multicomp.order

Update a multicomp object by ordering its contrasts.
export.eps

Exports a graph to an EPS file.
F.curve

plot a chisquare or a F-curve.
grid.yaxis.hh

make x- and y-axis labels
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
ci.plot

Plot confidence and prediction intervals for simple linear regression
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
residual.plots

Residual plots for a linear model.
persp.plane

Helper functions for regr2.plot
mmc.mean

MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
partial.corr

partial correlations
odds.ratio

Calculate or plot the odds ratio for a 2x2 table of counts.
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.
aov.sufficient

Analysis of variance from sufficient statistics for groups.
print.tsdiagplot

Print a "tsdiagplot" object.
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
arima.diag.hh

Repair design error in S-Plus arima.diag
positioned-class

Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
hh

Resolve filenames relative to the HH directory.
orthog.complete

Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
seqplot.forecast

seqplot with confidence bands for the forecast region.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
panel.acf

Panel functions for tsdiagplot.
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
panel.ci.plot

Default Panel Function for ci.plot
HH-package

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

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
plot.hov

Homogeneity of Variance Plot
ladder

Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
ancova-class

Class "ancova" Analysis of Covariance
interaction.positioned

interaction method for positioned factors.
GSremove

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
t.trellis

Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
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.
mcalinfct

MCA multiple comparisons analysis (pairwise)
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
lm.case

case statistics for regression analysis
panel.pairs.hh

Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
X.residuals

Residuals from the regression of each column of a data.frame against all the other columns.
intxplot

Interaction plot, with an option to print standard error bars.
extra

Miscellaneous functions that I wish were in or consistent between S-Plus and R.
arma.loop

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
legendGrob2wt

place separate keys to the left of each row of a trellis
col.hh

Initializing Trellis Displays
strip.xysplom

strip function that is able to place the correlation or regression coefficient into the strip label.
axis.i2wt

specialized axis function for interaction2wt.
norm.curve

plot a normal or a t-curve with both x and z axes.
panel.cartesian

trellis panel function, with labeled rows and columns and without strip labels.
ancova

Compute and plot oneway analysis of covariance
mmc

MMC (mean--mean multiple comparisons) plots.
hov

Homogeneity of Variance
push.vp.hh

push and pop a grid viewport, turn clipping off, change scale.
diag.maybe.null

Returns a value for the diagonal of NA and NULL arguments.
tsacfplots

Coordinated time series and ACF and PCF plots.
regr2.plot

3D plot of z against x and y, with regression plane fit and display of squared residuals.
tsdiagplot

Times series diagnostic plots for a structured set of ARIMA models.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
seqplot

Time series plot.
if.R

Conditional Execution for R or S-Plus
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
gof.calculation

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
vif

Calculate the Variance Inflation Factor
npar.arma

Count the number of parameters in an ARIMA model specification.
objip

loop through all attached directories looking for pattern
panel.xysplom

panel method for xysplom.
plot.multicomp

Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
resid.squares

plot squared residuals in inches to match the y-dimension
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk