Django-dataplot Code

multi.time.series <- function(x,
  digits=2,                              
  ylab="Set the 'ylab' parameter to a title for this axis!",
  xlab="Set the 'xlab' parameter to a title for this axis!",
  main="Set the 'main' parameter to a title for this plot!"
  ) {
  par(xpd=NA,mar=c(5,0,1,7))
  ## Convert date strings to POSIXct seconds
  x <- lapply(x,function(L){L$d <- as.POSIXct(strptime(L$d,"%F"));L})
  # range of all values of sublists
  attr.range <- function(at)
    range(unlist(lapply(x,function(L)L[[at]])))
  xlim <- attr.range('d')
  ylim <- attr.range('y')
  plot(xlim,ylim,type='n',bty='n',xaxt='n',yaxt='n',main=main,xlab='')

  ## prepare for plotting by sorting and associating a color
  colrs <- rainbow(length(x))
  S <- lapply(x,sorted)
  x <- apply(rbind(S,colrs),2,function(L){L$S$col <- L$col;L$S})
  
  sapply(x,mts.lines)
  xlabsecs <- as.integer(unique(c(sapply(x,function(L)L$d),recursive=T)))
  class(xlabsecs) <- "POSIXct"
  mtext(xlab,1,line=4)
  axis(1,xlabsecs,format(xlabsecs),las=2,lty=0,line=-2)
  mtext(ylab,4,line=5)
  ax.y <- unique(c(ylim,sapply(x,function(L)L$y[1])))
  axis(4,round(ax.y,digits),lty=0,las=1,line=2)
}
sorted <- function(L){
  index <- sort.int(L$d,i=T,dec=T)$ix
  L$d <- as.numeric(L$d[index])
  L$y <- L$y[index]
  L
}
mts.lines <- function(L){
  lines(L$d,L$y,col=L$col)
  text(L$d[1],L$y[1],L$name,pos=4,col=L$col)
}
##debug(multi.time.series)