Last data update: 2014.03.03
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R: plotmeanshack
plotmeanshack | R Documentation |
plotmeanshack
Description
Hack of the plotmeans function (gplots package), to allow native scale on the x axis, if the associated grouping variable is numeric.
Usage
plotmeanshack(formula, data = NULL, subset, na.action, bars = TRUE,
p = 0.95, minsd = 0, minbar = NULL, maxbar = NULL, xlab = names(mf)[2],
ylab = names(mf)[1], mean.labels = FALSE, ci.label = FALSE,
n.label = TRUE, digits = getOption("digits"), col = "black",
barwidth = 1, barcol = "blue", connect = TRUE, ccol = col,
legends = names(means), xaxt, use.t = TRUE, nummeans=TRUE, ...)
Arguments
formula |
see documentation of gplots::plotmeans
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data |
see documentation of gplots::plotmeans
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subset |
see documentation of gplots::plotmeans
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na.action |
see documentation of gplots::plotmeans
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bars |
see documentation of gplots::plotmeans
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p |
see documentation of gplots::plotmeans
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minsd |
see documentation of gplots::plotmeans
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minbar |
see documentation of gplots::plotmeans
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maxbar |
see documentation of gplots::plotmeans
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xlab |
see documentation of gplots::plotmeans
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ylab |
see documentation of gplots::plotmeans
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mean.labels |
see documentation of gplots::plotmeans
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ci.label |
see documentation of gplots::plotmeans
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n.label |
see documentation of gplots::plotmeans
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digits |
see documentation of gplots::plotmeans
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col |
see documentation of gplots::plotmeans
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barwidth |
see documentation of gplots::plotmeans
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barcol |
see documentation of gplots::plotmeans
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connect |
see documentation of gplots::plotmeans
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ccol |
see documentation of gplots::plotmeans
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legends |
see documentation of gplots::plotmeans
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xaxt |
see documentation of gplots::plotmeans
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use.t |
see documentation of gplots::plotmeans
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nummeans |
if TRUE, the independent variable (r.h.s.) in formula should be numeric
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... |
see documentation of gplots::plotmeans
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Author(s)
Pierrick Bruneau
Examples
data(state)
plotmeanshack(state.area ~ state.region, nummeans=FALSE) # non-numeric independent variable
data(iris)
irisdat <- cbind(iris[,1:4], c(rep(1,50), rep(2,50), rep(5,50)))
names(irisdat)[5] <- "iris.class"
plotmeanshack(Sepal.Width ~ iris.class, data=irisdat, nummeans=TRUE) # (artificial) numeric variable
Results
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