verboseBoxplot: Boxplot annotated by a Kruskal-Wallis p-value
In nosarcasm/WGCNA: Weighted Correlation Network Analysis

Description Usage Arguments Value Author(s) See Also

Plot a boxplot annotated by the Kruskal-Wallis p-value. Uses the function boxplot for the actual drawing.

verboseBoxplot(x, g, main = "", xlab = NA, ylab = NA, 
               cex = 1, cex.axis = 1.5, cex.lab = 1.5, cex.main = 1.5, 
               notch = TRUE, varwidth = TRUE, ...,
               addScatterplot = FALSE,
               pt.cex = 0.8, pch = 21, pt.col = "blue", pt.bg = "skyblue",
               randomSeed = 31425, jitter = 0.6)

`x`	numerical vector of data whose group means are to be plotted
`g`	a factor or a an object coercible to a factor giving the groups that will go into each box.
`main`	main title for the plot.
`xlab`	label for the x-axis.
`ylab`	label for the y-axis.
`cex`	character expansion factor for plot annotations.
`cex.axis`	character expansion factor for axis annotations.
`cex.lab`	character expansion factor for axis labels.
`cex.main`	character expansion factor for the main title.
`notch`	logical: should the notches be drawn? See `boxplot` and `boxplot.stats` for details.
`varwidth`	logical: if `TRUE`, the boxes are drawn with widths proportional to the square-roots of the number of observations in the groups.
`...`	other arguments to the function `boxplot`. Of note is the argument `las` that specifies label orientation. Value `las=1` will result in horizontal labels (the default), while `las=2` will result in vertical labels, useful when the labels are long.
`addScatterplot`	logical: should a scatterplot of the data be overlaid?
`pt.cex`	character expansion factor for the points.
`pch`	shape code for the points.
`pt.col`	color for the points.
`pt.bg`	background color for the points.
`randomSeed`	integer random seed to make plots reproducible.
`jitter`	amount of random jitter to add to the position of the points along the x axis.