View source: R/exposure_related_functions.R
plot_exposure_to_pdf | R Documentation |
Plot exposures in multiple plots to a single PDF file, with each plot showing exposures for a manageable number of samples.
plot_exposure_to_pdf( exposure, file, mfrow = c(2, 1), mar = c(6, 4, 3, 2), oma = c(3, 2, 0, 2), samples.per.line = 30, plot.proportion = FALSE, xlim = NULL, ylim = NULL, legend.x = NULL, legend.y = NULL, cex.legend = 0.9, cex.yaxis = 1, cex.xaxis = NULL, plot.sample.names = TRUE, yaxis.labels = NULL, width = 8.2677, height = 11.6929, ... )
exposure |
Exposures as a numerical |
file |
The name of the PDF file to be produced. |
mfrow |
A vector of the form |
mar |
A numerical vector of the form |
oma |
A vector of the form |
samples.per.line |
Number of samples to show in each plot. |
plot.proportion |
Plot exposure proportions rather than counts. |
xlim, ylim |
Limits for the x and y axis. If |
legend.x, legend.y |
The x and y co-ordinates to be used to position the legend. |
cex.legend |
A numerical value giving the amount by which legend plotting text and symbols should be magnified relative to the default. |
cex.yaxis |
A numerical value giving the amount by which y axis values should be magnified relative to the default. |
cex.xaxis |
A numerical value giving the amount by which x axis values
should be magnified relative to the default. If
|
plot.sample.names |
Whether to plot sample names below the x axis.
Default is TRUE. Ignored if there are no column names on
|
yaxis.labels |
User defined y axis labels to be plotted. If
|
width, height |
The width and height of the graphics region in inches. |
... |
Other arguments passed to |
An invisible list. The first element is a logical value indicating whether the plot is successful. The second element is a numeric vector giving the coordinates of the bar x-axis midpoints drawn, useful for adding to the graph.
file <- system.file("extdata", "Liver-HCC.exposure.csv", package = "mSigTools" ) exposure <- read_exposure(file) plot_exposure_to_pdf(exposure, file = file.path(tempdir(), "Liver-HCC.exposure.pdf"), cex.yaxis = 0.8, plot.proportion = TRUE )
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