pplot | R Documentation |
Draw a picture, with colors reminiscent of FlowJo. NOTE: this function is deprecated. Please consider using ggflow instead.
pplot( ff, parameters, blueBackground = FALSE, showZero = FALSE, nbin = 501, bandwidth = 0.001, cr = blob_color(blueBackground = FALSE), col = "black", nrpoints = 0, max_channel = 262143, tx = c("biexp", "asinh", "log", "linear"), ty = c("biexp", "asinh", "log", "linear"), plotaxt = TRUE, ticksize = 1, ... )
ff |
The flowFrame to be plotted |
parameters |
A vector of two parameters in ff. May be either character or numeric |
blueBackground |
Logical, should the background be blue. If false, you'll get a white background (like FlowJo) |
showZero |
Logical, draw dot-dash lines indicating the location of zero on each axis |
nbin |
Binning resolution (you shouldn't have to mess with the default) |
bandwidth |
Binning bandwidth (you shouldn't have to mess with the default) |
cr |
Color ramp. The only one supplied currently is the default |
col |
Not sure about this one, but the default is ok |
nrpoints |
Not sure about this one, but the default is ok |
max_channel |
Max value the cytometer can produce. See |
tx |
tick style. One of |
ty |
tick style. One of |
plotaxt |
Logical, should we draw the axes? |
ticksize |
Weight of the tickmarks in relative coordinates. |
... |
Additional graphical parameters passed to |
# get some example data filename = system.file("extdata", "example1.fcs", package = "wadeTools") ff = get_sample(filename) # a plot with linear coordinate scaling pplot(ff, parameters = c("FSC-A", "SSC-A"), tx = 'linear', ty = 'linear') # another plot, with the default biexponential scaling pplot(ff, c("CD4PETR", "CD8Q705"))
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