HH v2.1-16
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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 | |
| 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 | |
| anova.mean | ANOVA table from the group sample sizes, means, and standard deviations. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| interaction.positioned | interaction method for positioned factors. | |
| extra | Miscellaneous functions that I wish were in or consistent between S-Plus and R. | |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |
| if.R | Conditional Execution for R or S-Plus | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| export.eps | Exports a graph to an EPS file. | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| mmc.mean | MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design. | |
| aov.sufficient | Analysis of variance from sufficient statistics for groups. | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| panel.xysplom | panel method for xysplom. | |
| HH_regsubsets | Display tabular results for Best Subsets Regression. | |
| hh | Resolve filenames relative to the HH directory. | |
| hov | Homogeneity of Variance | |
| objip | loop through all attached directories looking for pattern | |
| grid.yaxis.hh | make x- and y-axis labels | |
| F.curve | plot a chisquare or a F-curve. | |
| panel.acf | Panel functions for tsdiagplot. | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| partial.corr | partial correlations | |
| persp.plane | Helper functions for regr2.plot | |
| print.tsdiagplot | Print a "tsdiagplot" object. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| seqplot | Time series plot. | |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| vif | Calculate the Variance Inflation Factor | |
| positioned-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| 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. | |
| glht.mcp.993 | Retain averaging behavior that was previously available in glht. | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| t.trellis | Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object. | |
| panel.cartesian | trellis panel function, with labeled rows and columns and without strip labels. | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |
| 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. | |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |
| col.hh | Initializing Trellis Displays | |
| strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| plot.hov | Homogeneity of Variance Plot | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| ancova | Compute and plot oneway analysis of covariance | |
| lm.case | case statistics for regression analysis | |
| odds.ratio | Calculate or plot the odds ratio for a 2x2 table of counts. | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |
| 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. | |
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Details
| Type | Package |
| Date | 2008-11-16 |
| DependsSplus | |
| License | GPL (>= 2) |
| Packaged | Sun Nov 16 15:53:40 2008; 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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