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A B C D E G H I L M N O P R S T U V X misc
| HH-package | Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland |
| analysis of covariance | Compute and plot oneway analysis of covariance |
| ancova | Compute and plot oneway analysis of covariance |
| ancova-class | Class "ancova" Analysis of Covariance |
| anova.ancova | Compute and plot oneway analysis of covariance |
| anova.mean | ANOVA table from the group sample sizes, means, and standard deviations. |
| aov.sufficient | Analysis of variance from sufficient statistics for groups. |
| as.double.positioned | 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. |
| as.glht | Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| as.multicomp | Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| as.numeric.positioned | 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. |
| as.positioned | 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. |
| bwplot.formula | Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class. |
| ci.plot | Plot confidence and prediction intervals for simple linear regression |
| coef.ancova | Compute and plot oneway analysis of covariance |
| coefficients.ancova | Compute and plot oneway analysis of covariance |
| col.hh | Initializing Trellis Displays |
| compute.packet.new | Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class. |
| covariance | Compute and plot oneway analysis of covariance |
| do.formula.trellis.xysplom | Interprets model formulas for xysplom and extended bwplots |
| export.eps | Exports a graph to an EPS file. |
| glht.mmc | MMC (mean-mean multiple comparisons) plots. |
| grid.xaxis.hh | make x- and y-axis labels |
| grid.yaxis.hh | make x- and y-axis labels |
| GSremove | Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet |
| HH | Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland |
| hh | Resolve filenames relative to the HH directory. |
| HH.ROOT.DIR | Resolve filenames relative to the HH directory. |
| hov | Homogeneity of Variance |
| if.R | Conditional Execution for R or S-Plus |
| interaction.positioned | interaction method for positioned factors. |
| interaction2wt | Plot all main effects and twoway interactions in a multifactor design |
| intxplot | Interaction plot, with an option to print standard error bars. |
| is.numeric.positioned | 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. |
| is.positioned | 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. |
| ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| ladder3 | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| legendGrob2wt | place separate keys to the left of each row of a trellis |
| lm.case | case statistics for regression analysis |
| make.xaxis.hh.labels | make x- and y-axis labels |
| make.yaxis.hh.labels | make x- and y-axis labels |
| mcalinfct | MCA multiple comparisons analysis (pairwise) |
| MMC | MMC (mean-mean multiple comparisons) plots. |
| mmc | MMC (mean-mean multiple comparisons) plots. |
| mmc.mean | MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
| model.frame.ancova | Compute and plot oneway analysis of covariance |
| multicomp | MMC (mean-mean multiple comparisons) plots. |
| multicomp.label.change | Update a multicomp object by ordering its contrasts. |
| multicomp.label.change.mmc.multicomp | Update a multicomp object by ordering its contrasts. |
| multicomp.label.change.multicomp | Update a multicomp object by ordering its contrasts. |
| multicomp.mean | MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
| multicomp.mmc | MMC (mean-mean multiple comparisons) plots. |
| multicomp.mmc.mean | MMC (mean-mean multiple comparisons) plots from the sufficient statistics for a one-way design. |
| multicomp.order | Update a multicomp object by ordering its contrasts. |
| multicomp.reverse | Force all comparisons in a "multicomp" object to have the same sign. |
| norm.curve | plot a normal or a t-curve with both x and z axes. |
| norm.observed | plot a normal or a t-curve with both x and z axes. |
| norm.setup | plot a normal or a t-curve with both x and z axes. |
| objip | loop through all attached directories looking for pattern |
| odds.ratio | Calculate or plot the odds ratio for a 2x2 table of counts. |
| orthog.complete | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. |
| orthog.construct | Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. |
| panel.ancova | Compute and plot oneway analysis of covariance |
| panel.bwplot.intermediate.hh | Panel functions for bwplot. |
| panel.bwplott | Extension to S-Plus trellis to allow transposed plots. |
| panel.cartesian | trellis panel function, with labeled rows and columns and without strip labels. |
| panel.case | case statistics for regression analysis |
| panel.ci.plot | Default Panel Function for ci.plot |
| panel.hov | Homogeneity of Variance Plot |
| panel.interaction2wt | Plot all main effects and twoway interactions in a multifactor design |
| panel.intxplot | Interaction plot, with an option to print standard error bars. |
| panel.pairs.hh | Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. |
| panel.xysplom | panel method for xysplom. |
| partial.corr | partial correlations |
| plot.ancova | Compute and plot oneway analysis of covariance |
| plot.case | case statistics for regression analysis |
| plot.hov | Homogeneity of Variance Plot |
| plot.mmc.multicomp | MMC (Mean-mean Multiple Comparisons) plot. |
| plot.multicomp | Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. |
| plot.odds.ratio | Calculate or plot the odds ratio for a 2x2 table of counts. |
| pop.vp.hh | push and pop a grid viewport, turn clipping off, change scale. |
| 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 | 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. |
| predict.ancova | Compute and plot oneway analysis of covariance |
| print.ancova | Compute and plot oneway analysis of covariance |
| print.glht.mmc.multicomp | Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| print.mmc.multicomp | Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| print.multicomp | Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| print.positioned | 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. |
| push.vp.hh | push and pop a grid viewport, turn clipping off, change scale. |
| regr1.plot | plot x and y, with optional straight line fit and display of squared residuals |
| resid.squares | plot squared residuals in inches to match the y-dimension |
| 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. |
| strip.interaction2wt | Plot all main effects and twoway interactions in a multifactor design |
| strip.ladder | Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| strip.xysplom | strip function that is able to place the correlation or regression coefficient into the strip label. |
| 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. |
| summary.ancova | Compute and plot oneway analysis of covariance |
| t.trellis | Interchange the x- and y-axes for an S-Plus trellis object. Identity function for an R lattice object. |
| unique.positioned | 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. |
| unpositioned | 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. |
| vcov.sufficient | Analysis of variance from sufficient statistics for groups. |
| vif | Calculate the Variance Inflation Factor |
| X.residuals | Residuals from the regression of each column of a data.frame against all the other columns. |
| xysplom | scatterplot matrix with potentially different sets of variables on the rows and columns. |
| [.mmc.multicomp | MMC (mean-mean multiple comparisons) plots. |
| [.positioned | 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. |