plotSpikeCI(spike, parameter,array = 1, bc = FALSE, area = TRUE, meanpoint = TRUE,xlab = "log(Concentration)", ylab = "log(Intensity)", main = colnames(spike$R)[array], onlycalib = TRUE, xlim = NULL, ylim = NULL, pch = 19, cex = 0.2, meanpch = 21, meancex = 1, lwd = 1.5, cy5col = "red", cy3col = "green", ...)SpikeList object.ParameterList object.TRUE means background corrected measured
intensities are used. Default is FALSE.TRUE means spot area is used to calculate
measured intensities. Namly, measured intensities are calculated by
foreground intensities(or background corrected intensities, if bc is
TRUE) multiply spot area. FALSE means spot area is not used.
Default is TRUE.TRUE is to show meanpoint of measured
intensities with the same concentration on the plot. FALSE means not show. TRUE means only the calibration controls are on
the plot. FALSE means to plot all the spikesplot.array. It accepts the concentration
of given array from the agrument spike, which is a SpikeList
object. The measured intensities are calculated from spike. Four different ways can
be used to calculate the measured intensities. Arguments bc and area are
logical and their combinations are used for specifying the four differents ways.
bc indicates using background correction or not. area indicates multipling
spot area or not. The default value of these two arguments are bc = FALSE and
area = TRUE. In order to help data visualization, meanpoints and model curve can be added
on the plot. And the arguments meanpoint and parameter are correspond to these.
The meadians of every group of measured intensities which have the same concentration
are shown on the polt if meanpoint is true. Model curves of both dye are
shown if the arguement parameter is specified after parameter estimation.
plot, par# load data: spike
data(spike)
# specify the array to be plotted.
array <- 1
# use the default values for other parameters.
plotSpikeCI(spike,array=array)
# after parameter estimation, the model curves can be shown on the plot.
data(parameter)
plotSpikeCI(spike,parameter,array=array)
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