plotProfile: Profile and image plotting

In RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

Profile and image plotting

Description

Plot the profile and the image (if available) of a particle.

Usage

plotProfile(
  profiles,
  profiles.colors = NULL,
  image = NULL,
  curve.names = NULL,
  title = "Some observation",
  sub = "",
  sub.color = NULL,
  image.dir = NULL,
  charsize = 11
)

Arguments

profiles	matrix of profile data (signals in columns).
profiles.colors	vector of colors corresponding to each signal in profile.
image	character vector specifying the name (without path) + extension of the associated image (if available).
curve.names	vector of character specifying the names of each signal in profile.
title	character vector specifying the title of the plot.
sub	character vector specifying the subtitle of the plot.
sub.color	character vector specifying the color of the subtitle.
image.dir	images directory.
charsize	character size

Details

plotProfile plots the profile and the image (if available) of a particle

Value

None

See Also

plotSampleFeatures, visualizeSampleClustering

Examples

dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
             matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
colnames(dat) <- c("x","y")
tf1 <- tempfile()
write.table(dat, tf1, sep=",", dec=".")

sig <- data.frame(ID=rep(1:150, each=30), SIGNAL=rep(dnorm(seq(-2,2,length=30)),150))
tf2 <- tempfile()
write.table(sig, tf2, sep=",", dec=".")

x <- importSample(file.features=tf1, file.profiles=tf2)

plotProfile(x$profiles[[1]])

RclusTool documentation built on May 29, 2024, 5:23 a.m.