Nothing
plotFreqData.fn <- function(dat,inch=0.15,ylab="Bins",xlab="Year",zero2NAs=T,main=NULL,xlim=NULL,...) {
#This function plots frequency data as bubble plots
#You may want to change all zeros to NA's so that those observations are not plotted.
# If you don't then set zero2NAs=F
x <- as.numeric(as.character(dat$year))
gender <- dat$gender[1]
dat <- dat[,-c(1:6)]
if(length(grep(".999",names(dat))>0)){
# remove extra columns (if the user didn't remove them already)
if(gender==0) {
#dat <- dat[,1:(ncol(dat)/2)]
#dat <- dat[,-match("U.999.1",names(dat))]
#print(names(dat))
dat <- dat[,-match("U.999",names(dat))]
#print(names(dat))
}
if(gender==3) {
# exclude columns for fish below minimum bin
dat <- dat[,-match("F.999",names(dat))]
dat <- dat[,-match("M.999",names(dat))]
}
}
numLens <- ncol(dat)/2
y <- as.numeric(substring(names(dat),2))
y <- y[1:numLens]
if(zero2NAs) {dat[dat==0] <- NA}
if(is.null(xlim)) {xlim <- range(x)}
if(gender==0) {
if(is.null(main)) {main <- "Unsexed+Males+Females"}
z <- c(unlist(dat[,1:numLens]),max(dat))
symbols(c(rep(x,length(y)),0),c(rep(y,each=length(x)),0),circles=z,main=main,inches=inch,xlab=xlab,ylab=ylab,xlim=xlim,...)
}
if(gender==3) {
if(is.null(main)) {main <- "Female"}
z <- c(unlist(dat[,1:numLens]),max(dat))
symbols(c(rep(x,length(y)),0),c(rep(y,each=length(x)),0),circles=z,main=main,inches=inch,xlab=xlab,ylab=ylab,xlim=xlim,...)
if(is.null(main)) {main <- "Male"}
z <- c(unlist(dat[,(numLens+1):ncol(dat)]),max(dat))
symbols(c(rep(x,length(y)),0),c(rep(y,each=length(x)),0),circles=z,main=main,inches=inch,xlab=xlab,ylab=ylab,xlim=xlim,...)
}
}
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