Nothing
plot.ICA.BinCont <- function(x, Histogram.ICA=TRUE, Mixmean=TRUE, Mixvar=TRUE, Deviance=TRUE,
Type="Percent", Labels=FALSE, ...){
Object <- x
if (Histogram.ICA==TRUE){
Xlab <- expression(R[H]^2)
Main = " "
dev.new()
if (Type=="Density"){
plot(density(x$R2_H, na.rm = T), xlab=Xlab, ylab="Density", main=Main, lwd=2, ...)
}
if (Type=="Freq"){
h <- hist(Object$R2_H, plot = FALSE, ...)
h$density <- h$counts/sum(h$counts)
cumulMidPoint <- ecdf(x=Object$R2_H)(h$mids)
labs <- paste(round((1-cumulMidPoint), digits=4)*100, "%", sep="")
if (Labels==FALSE){
plot(h,freq=T, xlab=Xlab, ylab="Frequency", main=Main, col="grey", ...)
}
if (Labels==TRUE){
plot(h,freq=T, xlab=Xlab, ylab="Frequency", main=Main, labels=labs, col="grey", ...)
}
}
if (Type=="Percent"){
h <- hist(Object$R2_H, plot = FALSE, ...)
h$density <- h$counts/sum(h$counts)
cumulMidPoint <- ecdf(x=Object$R2_H)(h$mids)
labs <- paste(round((1-cumulMidPoint), digits=4)*100, "%", sep="")
if (Labels==FALSE){
plot(h, freq=F, xlab=Xlab, ylab="Percentage", main=Main, col="grey", ...)
}
if (Labels==TRUE){
plot(h, freq=F, xlab=Xlab, ylab="Percentage", main=Main, labels=labs, col="grey", ...)
}
}
if (Type=="CumPerc"){
h <- hist(Object$R2_H, breaks=length(Object$R2_H), plot = FALSE, ...)
h$density <- h$counts/sum(h$counts)
cumulative <- cumsum(h$density)
plot(x=h$mids, y=cumulative, xlab=Xlab, ylab="Cumulative percentage", col=0, main=Main, ...)
lines(x=h$mids, y=cumulative)
}
} # end of histogram
if (Mixmean==TRUE){
Xlab <- expression(Run)
Ylab <- expression(Mean)
Main_S0 <- expression(S[0])
Main_S1 <- expression(S[1])
dev.new()
par(mfrow=c(1,2))
plot(Object$mean_Y_S0, type = "p", ylim = c(round(min(Object$mean_Y_S0, Object$mean.S0))-1,
round(max(Object$mean_Y_S0, Object$mean.S0))+1),
main = Main_S0, xlab = Xlab, ylab = Ylab, ...)
abline(h = Object$mean.S0, col = "red", lty = 2, lwd = 4)
plot(Object$mean_Y_S1, type = "p", ylim = c(round(min(Object$mean_Y_S1, Object$mean.S1))-1, round(max(Object$mean_Y_S1,Object$mean.S1))+1),
main = Main_S1, xlab = Xlab, ylab = Ylab, ...)
abline(h = Object$mean.S1, col = "red", lty = 2, lwd = 4)
par(mfrow=c(1,1))
}
if (Mixvar==TRUE){
Xlab <- expression(Run)
Ylab <- expression(Variance)
Main_S0 <- expression(S[0])
Main_S1 <- expression(S[1])
dev.new()
par(mfrow=c(1,2))
plot(Object$var_Y_S0, type = "p", ylim = c(round(min(Object$var_Y_S0, Object$var.S0))-1,
round(max(Object$var_Y_S0, Object$var.S0))+1),
main = Main_S0, xlab = Xlab, ylab = Ylab, ...)
abline(h = Object$var.S0, col = "red", lty = 2, lwd = 4)
plot(Object$var_Y_S1, type = "p", ylim = c(round(min(Object$var_Y_S1, Object$var.S1))-1, round(max(Object$var_Y_S1,Object$var.S1))+1),
main = Main_S1, xlab = Xlab, ylab = Ylab, ...)
abline(h = Object$var.S1, col = "red", lty = 2, lwd = 4)
par(mfrow=c(1,1))
}
if (Deviance==TRUE){
dev.new()
par(mfrow=c(1,2))
boxplot(Object$dev_S0, main = expression(S[0]), ylab = "deviance", ylim = NULL)
boxplot(Object$dev_S1, main = expression(S[1]), ylab = "deviance", ylim = NULL)
par(mfrow=c(1,2))
}
}
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