Description Usage Arguments Details Examples
plots a ranked violin-type plot
1 2 |
values |
named list: list over x-entries, each list entry a name vector of y-values. names of vector must match entries in ranking. |
ranking |
named list: must have entries 'red' and 'blue', containing the rank of y-value entries to be plotted on the red and blue side of the slug plot. |
ylim |
numeric vector: passed on to plot as usual. defaults to min and max of values. |
yLines |
numeric vector: y values of support lines going behind the slugs. Defaults to no lines. |
breaks |
numeric: number of breaks in the histogram across y. Affects .pdf dize. Default 200. |
steps |
numeric: Number of histograms plotted inside each other. Affects .pdf size. Default 50. |
smooth |
integer: The histogram is smoothed over up to smooth^2 histogram bins. Default 2. |
overlap |
numeric: The factor the slug will enter the neighbouring slugs area. Default 1, which is no overlap. |
... |
Remaining arguments are passed to plot(). |
yLineWidth |
numeric vector: line width of support lines going behind the slugs. Defaults to 1. |
This function plots smoothed histograms of the values over the y-axis, similarly to violin plots. Each sample, ie entries in the values list, get a wall, with a red slug on the right side, and a blue slug on the left side. The red slug is based on the ranking in ranking$red, and shows all entries in red, and then increasingly bright colours for the top ranked values. Similary, the blue slug show the ranking of the ranking$blue on the left side of the wall.
1 2 3 4 5 6 7 8 9 10 | #set up example data
values = lapply(1:5, function(i) {
ret=rnorm(1000, i-i*(1:1000)/400, 1)
names(ret)=1:1000
return(ret)
})
names(values) = c('a', 'b', 'c', 'd', 'e')
ranking = list('red'=as.character(1:300), 'blue'=as.character(1000:701))
slugPlot(values, ranking, yLines=(-5:5), yLineWidths=c(rep(1,5), 3, rep(1,5)))
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