# HH v2.1-23

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## Statistical Analysis and Data Display: Heiberger and Holland

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.

## Functions in HH

Name | Description | |

X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |

F.curve | plot a chisquare or a F-curve. | |

panel.acf | Panel functions for tsdiagplot. | |

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

ae.dotplot | AE (Adverse Events) dotplot of incidence and relative risk | |

ancova | Compute and plot oneway analysis of covariance | |

ancova-class | Class "ancova" Analysis of Covariance | |

panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |

cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |

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

persp.plane | Helper functions for regr2.plot | |

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

logit | Logistic function and its inverse. | |

mcalinfct | MCA multiple comparisons analysis (pairwise) | |

anova.mean | ANOVA table from the group sample sizes, means, and standard deviations. | |

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

plot.hov | Homogeneity of Variance Plot | |

seqplot.forecast | seqplot with confidence bands for the forecast region. | |

glht.mcp.993 | Retain averaging behavior that was previously available in glht. | |

dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |

grid.yaxis.hh | make x- and y-axis labels | |

arima.diag.hh | Repair design error in S-Plus arima.diag | |

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

GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |

plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |

panel.ci.plot | Default Panel Function for ci.plot | |

export.eps | Exports a graph to an EPS file. | |

partial.corr | partial correlations | |

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

ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |

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

hh | Resolve filenames relative to the HH directory. | |

axis.i2wt | specialized axis function for interaction2wt. | |

diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |

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

orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |

multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |

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

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

aov.sufficient | Analysis of variance from sufficient statistics for groups. | |

multicomp.order | Update a multicomp object by ordering its contrasts. | |

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

regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |

hov | Homogeneity of Variance | |

objip | loop through all attached directories looking for pattern | |

ci.plot | Plot confidence and prediction intervals for simple linear regression | |

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. | |

lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |

panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |

legendGrob2wt | place separate keys to the left of each row of a trellis | |

regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |

push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |

panel.xysplom | panel method for xysplom. | |

print.tsdiagplot | Print a "tsdiagplot" object. | |

interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |

panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |

resid.squares | plot squared residuals in inches to match the y-dimension | |

mmc | MMC (mean--mean multiple comparisons) plots. | |

arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |

residual.plots | Residual plots for a linear model. | |

summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |

tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |

xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |

tsacfplots | Coordinated time series and ACF and PCF plots. | |

interaction.positioned | interaction method for positioned factors. | |

HH_regsubsets | Display tabular results for Best Subsets Regression. | |

if.R | Conditional Execution for R or S-Plus | |

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. | |

col.hh | Initializing Trellis Displays | |

panel.bwplot.intermediate.hh | Panel functions for bwplot. | |

lm.case | case statistics for regression analysis | |

npar.arma | Count the number of parameters in an ARIMA model specification. | |

strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |

as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |

strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |

vif | Calculate the Variance Inflation Factor | |

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

seqplot | Time series plot. | |

gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |

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## Last month downloads

## Details

Type | Package |

Date | 2009-01-05 |

DependsSplus | |

License | GPL (>= 2) |

Packaged | Mon Jan 5 09:44:14 2009; rmh |

depends | base (>= 2.5.0) , grid , lattice , leaps , methods , multcomp (>= 0.991-7) , mvtnorm , R (>= 2.5.0) , stats |

Contributors | Richard Heiberger |

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