Nothing
### To plot the internal controls
plotInternalControls <- function(y, col, main, sampleNames, bty="o"){
n <- length(y)
slideNames <- substr(sampleNames, 1, 10)
plot(1:n, y, pch=20, cex=0.7, main = main, xlab = "Sample",
ylab = "Control intensity", ylim = c(0, 1.3*max(y)),
col = col, bty = bty)
grid()
abline(h=0, lty=3)
}
### To add the selected array to the internal controls plot
addHoverPoints <- function(y, sampleNames, selectedSamples=c()){
## To put a circle around the last entry:
n <- length(selectedSamples)
if (n>=1){
points(selectedSamples[n], y[selectedSamples[n]], pch = 1,
cex = 3, lwd = 3)
points(selectedSamples[1:n], y[selectedSamples[1:n]],
pch = 17, cex = 1, lwd = 3)
}
}
returnControlStat <- function(controlType, greenControls,
redControls, controlNames){
index <- match(controlType, controlNames)
greenControls.current <- greenControls[[index]]
redControls.current <- redControls[[index]]
if (controlType=="BISULFITE CONVERSION I"){
controlStat <- (apply(greenControls.current[1:3,], 2, mean) +
apply(redControls.current[7:9,], 2, mean))/2
} else {
if (controlType=="BISULFITE CONVERSION II"){
controlStat <- apply(redControls.current, 2, mean)
} else {
if (controlType=="EXTENSION"){
controlStat <- (apply(greenControls.current[3:4,], 2, mean) +
apply(redControls.current[1:2,], 2, mean))/2
} else {
if (controlType=="NEGATIVE"){
controlStat <- (apply(greenControls.current, 2, mean) +
apply(redControls.current, 2, mean))/2
} else {
if (controlType=="HYBRIDIZATION"){
controlStat <- apply(greenControls.current, 2, mean)
} else {controlStat <- apply(greenControls.current, 2, mean)
}
}
}
}
}
return(controlStat)
}
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