HH v2.1-28
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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 | |
| dchisq.intermediate | Intermediate f and chisq functions to simplify writing for both R and S-Plus. | |
| arma.loop | Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. | |
| HH-package | Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland | |
| ci.plot | Plot confidence and prediction intervals for simple linear regression | |
| col.hh | Initializing Trellis Displays | |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. | |
| seqplot | Time series plot. | |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| diag.maybe.null | Returns a value for the diagonal of NA and NULL arguments. | |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet | |
| cp.calc | Rearranges and improves the legibility of the output from the stepwise function in S-Plus. | |
| ae.dotplot | AE (Adverse Events) dotplot of incidence and relative risk | |
| plot.mmc.multicomp | MMC (Mean--mean Multiple Comparisons) plot. | |
| panel.acf | Panel functions for tsdiagplot. | |
| mcalinfct | MCA multiple comparisons analysis (pairwise) | |
| mmc | MMC (mean--mean multiple comparisons) plots. | |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. | |
| t.trellis | Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object. | |
| panel.ci.plot | Default Panel Function for ci.plot | |
| print.tsdiagplot | Print a "tsdiagplot" object. | |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. | |
| export.eps | Exports a graph to an EPS file. | |
| aov.sufficient | Analysis of variance from sufficient statistics for groups. | |
| grid.yaxis.hh | make x- and y-axis labels | |
| lm.regsubsets | Evaluate lm model with highest adjusted $R^2$. | |
| as.multicomp | Support functions in R for MMC (mean--mean multiple comparisons) plots. | |
| legendGrob2wt | place separate keys to the left of each row of a trellis | |
| multicomp.order | Update a multicomp object by ordering its contrasts. | |
| intxplot | Interaction plot, with an option to print standard error bars. | |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. | |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals | |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. | |
| partial.corr | partial correlations | |
| residual.plots | Residual plots for a linear model. | |
| positioned-class | Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. | |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. | |
| strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. | |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. | |
| logit | Logistic function and its inverse. | |
| arima.diag.hh | Repair design error in S-Plus arima.diag | |
| regr2.plot | 3D plot of z against x and y, with regression plane fit and display of squared residuals. | |
| plot.hov | Homogeneity of Variance Plot | |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. | |
| lm.case | case statistics for regression analysis | |
| panel.dotplot.tb | Dotplot with evenly spaced tiebreakers. | |
| 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.cartesian | trellis panel function, with labeled rows and columns and without strip labels. | |
| interaction.positioned | interaction method for positioned factors. | |
| persp.plane | Helper functions for regr2.plot | |
| panel.xysplom | panel method for xysplom. | |
| strip.background0 | Turn off the coloring in the trellis strip labels. Color 0 is the background color. | |
| vif | Calculate the Variance Inflation Factor | |
| 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. | |
| axis.i2wt | specialized axis function for interaction2wt. | |
| seqplot.forecast | seqplot with confidence bands for the forecast region. | |
| lmatRows | Find the row numbers in the lmat corresponding to the focus factor. | |
| HH_regsubsets | Display tabular results for Best Subsets Regression. | |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots | |
| F.curve | plot a chisquare or a F-curve. | |
| if.R | Conditional Execution for R or S-Plus | |
| npar.arma | Count the number of parameters in an ARIMA model specification. | |
| 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. | |
| extra | Miscellaneous functions that I wish were in or consistent between S-Plus and R. | |
| hh | Resolve filenames relative to the HH directory. | |
| objip | loop through all attached directories looking for pattern | |
| resid.squares | plot squared residuals in inches to match the y-dimension | |
| hov | Homogeneity of Variance | |
| tsacfplots | Coordinated time series and ACF and PCF plots. | |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. | |
| mmc.mean | MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design. | |
| summary.arma.loop | summary and print and subscript methods for tsdiagplot and related objects. | |
| 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. | |
| ancova | Compute and plot oneway analysis of covariance | |
| glht.mcp.993 | Retain averaging behavior that was previously available in glht. | |
| norm.curve | plot a normal or a t-curve with both x and z axes. | |
| ancova-class | Class "ancova" Analysis of Covariance | |
| gof.calculation | Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. | |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design | |
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2009-05-25 |
| DependsSplus | |
| License | GPL (>= 2) |
| Packaged | Mon May 25 01:01:15 2009; RMH28285 |
| Repository | CRAN |
| Date/Publication | 2009-05-25 06:40:55 |
| 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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