HH v3.1-35
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Statistical Analysis and Data Display: Heiberger and Holland
Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors 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. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Functions in HH
| Name | Description | |
| ancovaplot | Analysis of Covariance Plots | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| as.matrix.listOfNamedMatrices | Convert a list of matrices to a single matrix | |
| as.likert | Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| anovaMean | ANOVA table from the group sample sizes, means, and standard deviations. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| col.hh | Initializing Trellis Displays | |
| interaction.positioned | interaction method for positioned factors. | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| glhtWithMCP.993 | Retain averaging behavior that was previously available in glht. | |
| AEdotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| aovSufficient | Analysis of variance from sufficient statistics for groups. | |
| anova.ancovaplot | ANOVA table for a c("ancovaplot","trellis") object. | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| bivariateNormal | Plot the bivariate normal density using wireframe for specified rho. | |
| hov | Homogeneity of Variance | |
| pdiscunif | Discrete Uniform Distribution | |
| hhpdf | R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| as.vector.trellis | Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| datasets | Datasets for Statistical Analysis and Data Display, Heiberger and Holland | |
| cplx | Generate a sequence spanning the xlim of a lattice window. | |
| combineLimits.trellisvector | Combine limits on a one-dimensional trellis object. | |
| col3x2 | col3x2 color dataset | |
| lmatPairwise | lmatPairwise | |
| emptyMainLeftAxisLeftStripBottomLegend | Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items. | |
| lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |
| extra | ||
| mmcisomeans | Functions used by mmcplot. | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| mmcplot | MMC (Mean-mean Multiple Comparisons) plots in lattice. | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| grid.yaxis.hh | make x- and y-axis labels | |
| export.eps | Exports a graph to an EPS file. | |
| diagQQ | QQ plot of regression residuals. | |
| normalApproxBinomial | Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals. | |
| diagplot5new | Transpose of ECDF for centered fitted values and residuals from a linear model. | |
| interval | Prediction and Confidence Intervals for glm Objects | |
| hh | Resolve filenames relative to the HH directory. | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| mmc | MMC (Mean--mean Multiple Comparisons) plots. | |
| mmc.mean | MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| likert | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. | |
| panel.axis.right | Right-justify right-axis tick labels. | |
| hovBF | Homogeneity of Variance: Brown--Forsyth method | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| objip | loop through all attached directories looking for pattern, possibly restricting to specified class or mode. | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| partial.corr | partial correlations | |
| panel.xysplom | panel method for xysplom. | |
| rbind.trellis | Extend matrix reshaping functions to trellis objects. | |
| latticeresids | Subroutine used by residual.plots.lattice | |
| mmcAspect | Control aspect ratio in MMC plots to maintain isomeans grid as a square. | |
| mmcPruneIsomeans | MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor. | |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |
| OddsRatio | Calculate or plot the odds ratio for a 2x2 table of counts. | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| residual.plots | Residual plots for a linear model. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |
| panel.bwplot.superpose | Panel function for bwplot that displays an entire box in the colors coded by groups. | |
| if.R | Conditional Execution for R or S-Plus | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| lm.case | case statistics for regression analysis | |
| panel.confintMMC | Confidence interval panel for MMC tiebreaker plots, or confidence interval plot. | |
| matrix.trellis | Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. | |
| panel.likert | Panel functions for likert that include a stackWidth argument | |
| likertColor | Selection of colors for Likert plots. | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| print.NormalAndTplot | Print method for Normal and t plots from NTplot. | |
| likertMosaic | Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. | |
| residual.plots.lattice | Construct four sets of regression plots: Y against X, residuals against X, partial residuals against X, partial residuals against each X adjusted for all the other X columns. | |
| print.TwoTrellisColumns | Print two conformable trellis plots in adjacent columns with user control of widths. | |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| lmplot | Four types of residual plots for linear models. | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| print.latticeresids | Print a latticeresids object. | |
| print.tsdiagplot | Print a "tsdiagplot" object. | |
| NormalAndTPower | Construct a power graph based on the NTplot. | |
| logit | Logistic and odds functions and their inverses. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| 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. | |
| residVSfitted | Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat | |
| vif | Calculate the Variance Inflation Factor | |
| useOuterStripsT2L1 | Three-factor generalization of latticeExtra::useOuterStrips | |
| panel.acf | Panel functions for tsdiagplot. | |
| panel.isomeans | isomeans grid for MMC plots. | |
| perspPlane | Helper functions for regr2.plot | |
| plot.hov | Homogeneity of Variance Plot | |
| panel.cartesian | trellis panel function, with labeled rows and columns and without strip labels. | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
| 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-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| regrresidplot | Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. | |
| pyramidLikert | Print a Likert plot as a Population Triangle | |
| strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |
| seqplot | Time series plot. | |
| strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| tsdiagplot | Times series diagnostic plots for a structured set of ARIMA models. | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. | |
| LikertPercentCountColumns | Display likert plots with percents in the first column of panels and counts in the second column of panels. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| CIplot | Illustration of the meaning of confidence levels. | |
| F.curve | plot a chisquare or a F-curve. | |
| ResizeEtc.likertPlot | Display multiple independent trellis objects, representing likert plots, on the same coordinated scale. | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| ancova | Compute and plot oneway analysis of covariance | |
| ResizeEtc | Display multiple independent trellis objects on the same coordinated scale. | |
| NormalAndTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. | |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |
| Discrete4 | Discrete with four levels color dataset. | |
| defunct | Defunct Functions in Package 'HH' | |
| HHscriptnames | Find absolute pathname of a script file for the HH book in the HH package. | |
| HH-package | HH | |
| HH.regsubsets | Display tabular results for Best Subsets Regression. | |
| AEdotplot.data.frame | AE (Adverse Events) dotplot of incidence and relative risk, support functions | |
| NTplot | Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. | |
| ae.dotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| OneWayVarPlot | Displays a three-panel bwplot of the data by group, of the group means, and of the entire dataset. This is an approximate visualization of the Mean Square lines from the ANOVA table for a one-way ANOVA model. | |
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Details
| Type | Package |
| Date | 2018-06-02 |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2018-06-03 03:29:31 UTC; rmh |
| Repository | CRAN |
| Date/Publication | 2018-06-05 19:48:07 UTC |
| imports | abind , colorspace , grDevices , Hmisc , leaps , methods , RColorBrewer , reshape2 , Rmpfr (>= 0.6.0) , shiny (>= 0.13.1) , vcd |
| suggests | car , microplot , mvtnorm , Rcmdr , RcmdrPlugin.HH , TeachingDemos |
| depends | graphics , grid , gridExtra (>= 2.0.0) , lattice , latticeExtra , multcomp , R (>= 3.0.2) , stats |
| Contributors | Richard Heiberger |
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