# HH v2.1-2

Monthly downloads

## 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 | |

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

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

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

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

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

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

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. | |

hov | Homogeneity of Variance | |

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

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

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

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

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

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

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

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

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

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

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

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

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

mcalinfct | MCA multiple comparisons analysis (pairwise) | |

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

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

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

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

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

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

plot.hov | Homogeneity of Variance Plot | |

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

vif | Calculate the Variance Inflation Factor | |

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

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

col.hh | Initializing Trellis Displays | |

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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. | |

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

panel.xysplom | panel method for xysplom. | |

partial.corr | partial correlations | |

panel.acf | Panel functions for tsdiagplot. | |

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

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

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

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

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

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

ancova | Compute and plot oneway analysis of covariance | |

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

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

seqplot | Time series plot. | |

lm.case | case statistics for regression analysis | |

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

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

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

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

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

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

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

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

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

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

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

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

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

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

logit | Logistic function and its inverse. | |

lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2007-07-24 |

License | GPL version 2 or newer |

Packaged | Wed Jul 25 00:35:46 2007; rmh |

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

Contributors | Richard Heiberger |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/HH)](http://www.rdocumentation.org/packages/HH)
```