ecdfplot {flowViz} | R Documentation |
This function creates Trellis displays of Empirical Cumulative Distribution Functions from flow cytometry data using a formula interface.
## methods for 'flowSet' objects ## S4 method for signature 'formula, flowSet': ecdfplot(x, data, xlab, ylab, f.value = function(n) ppoints(ceiling(sqrt(n))), type = "l", as.table = TRUE, ...) prepanel.ecdfplot.flowset(x, frames, channel, f.value, ...) panel.ecdfplot.flowset(x, frames, channel, f.value, ref = TRUE, groups = NULL, subscripts, col, col.points, pch, cex, alpha, col.line, lty, lwd, ...)
x |
a formula describing the structure of the plot and the variables to be used in the display. For the prepanel and panel functions, a vector of names for the flow frames to be used in the panel. |
data |
a flowSet object that serves as a source of data |
xlab, ylab |
Labels for data axes, with suitable defaults taken from the formula |
f.value |
determines the number of points used in the plot
ecdfplot for details. |
type |
type of rendering; by default lines are drawn |
as.table |
logical; whether to draw panels from top left |
ref |
logical; whether to add reference lines at 0 and 1 |
frames |
environment containing frame-specific data |
channel |
expression involving names of columns in the data |
groups, subscripts |
grouping variable, if specified, and
subscripts indexing which frames are being used in the panel. See
xyplot for details. |
col, col.points, pch, cex, alpha, col.line, lty, lwd |
vector of graphical parameters that are replicated for each group |
... |
more arguments, usually passed on to the underlying lattice methods and the panel function. |
signature(x = "formula", data = "flowSet")
:
plote empirical CDF for a given channel, with one or more samples
per panel
Not all standard lattice arguments will have the intended effect, but many should. For a fuller description of possible arguments and their effects, consult documentation on lattice.
data(GvHD) ecdfplot(~ `FSC-H` | Patient, GvHD, f.value = ppoints(100)) ecdfplot(~ asinh(`FSC-H`) | Patient, GvHD, strip = strip.custom(strip.names = TRUE), ref = FALSE) ecdfplot(~ asinh(`FSC-H`) | Patient, GvHD, groups = Visit, strip = strip.custom(strip.names = TRUE), ref = FALSE, auto.key = list(columns = 4))