[R] incomplete final line found on <name of my sourced function file>

R. Michael Weylandt michael.weylandt at gmail.com
Fri Feb 3 22:28:01 CET 2012


Try opening the file up in a text editor and inserting a blank line or
two on the end. (There's either an EOL or EOF character missing and
this trick usually works for me -- never sure why/when it happens
though)

Michael

On Fri, Feb 3, 2012 at 4:23 PM, Dimitri Liakhovitski
<dimitri.liakhovitski at gmail.com> wrote:
> Dear R-ers,
>
> I hope there is a really simple solution to my problem.
> I've written a function that I saved in an .r file. I source this file
> in my code. For a while it worked fine. But then when I run the line:
>
> source("F mylineplot.r")
>
> I started getting a warning:
> In readLines(file) : incomplete final line found on 'F mylineplot.r'
>
> I have no idea why - I tried to check and to recheck what's going on,
> but am not finding anything.
> The code works both when I try to run it NOT as a function and when I
> run it AS a function. So why the warning message?
>
> Just in case - the text of my function inside my file that I source. I
> really don't expect anyone to dig into it - but maybe something will
> jump at you?
> Thanks a lot!
> Dimitri
>
>
> ### Creating a plot with (aggregated) several lines:
> # indata - my data frame
> # datesvar - name of the variable that contains dates
> # inars - names of the variables to be graphed
> # myfunction - function to be used (mean or sum)
> # my metric - string for the metric
> # mytitle - title of the graph
> # fixedy - if 1, range on y axis starts with zero
> # indata=en;datesvar="Week";invars=seas[5];myfunction=mean
> # mymetric="TEST";fixedy=0;title="BLA"
>
> mylines = function(indata,datesvar,invars,myfunction,mymetric,mytitle,fixedy=0)
> {
>
>  all.colors<-c("#E0EEEE","#0000CD","#D4D4D4","#FFC1C1","#FFDEAD","#9ACD32",
>        "#99CCFF","#6495ED","#66CDAA","#EEC900","#BC8F8F",
>   "#C00000","#696969","#473C8B","#8B4500",     "#FF7F00","#9370DB",
>        "#800000","#104E8B","#228B22")[20:1]
>
>
>  myagg<-aggregate(indata[invars],by=indata[datesvar],FUN=myfunction)
>  yrange=range(pretty(as.matrix(myagg[2:length(myagg)])))
>  if(fixedy==0){
>    ymin<-yrange[1]
>    ymax<-yrange[2]} else {
>    ymin<-0
>    ymax<-yrange[2]}
>  ydistance<-ymax-ymin
>  if(ydistance>0.1 & ydistance<=1){mystep<-0.1} else {
>    if(ydistance>1 & ydistance<=10){mystep<-1/2} else {
>        if(ydistance>10 & ydistance<=100) {mystep<-10/5} else {
>        if(ydistance>100 & ydistance<=1000) {mystep<-100/5} else {
>          if(ydistance>1000 & ydistance<=10000) {mystep<-1000/2} else {
>            if(ydistance>10000 & ydistance<=100000) {mystep<-10000/5} else {
>              mystep<-100000/5
>            }
>          }
>        }
>      }
>    }
>  }
>  nr.of.dates<-length(myagg[[datesvar]]); index<-seq(1,nr.of.dates,2)
>  par(bg = "white")
>  plot(x=myagg[[datesvar]],y=myagg[,2],ylim=c(ymin,ymax),col=all.colors[1],type='l',
>          ylab=mymetric,xlab="",lwd=2,xaxt='n',yaxt='n',main=mytitle)
>  mycolors<-1
>  for(i in 2:length(invars)){
>    mycolors<-c(mycolors,(i))
>  }
>
>  axis(1, labels =format(as.Date(myagg[[datesvar]][index],
> origin="1970-01-01"), "%Y-%m-%d"),
>                at=myagg[[datesvar]][index], las=2,cex.axis=0.8)
>  axis(2, labels=seq(ymin,ymax,by=mystep),at=seq(ymin,ymax,by=mystep),las=1,cex.axis=0.9)
>  abline(v=myagg[[datesvar]][index],lty="dotted",col = "lightgray")
> #  abline(h=seq(ymin,ymax,by=mystep), lty="dotted",col = "lightgray")
>  legend("topleft",inset=0,legend=invars,fill=all.colors[mycolors],horiz=T,bg="white",cex=1)
> # ?plot
>
>  points(myagg[[datesvar]],myagg[[invars[1]]],type="l",lwd=3,lty=i,col=all.colors[1])
>  for(i in 2:length(invars)){
>    points(myagg[[datesvar]],myagg[[invars[i]]],type="l",lwd=2,lty=1,col=all.colors[i])
> # or lty=i
>    mycolors<-c(mycolors,(i))
>  }
>  return(myagg)
> }
>
>
> --
> Dimitri Liakhovitski
> marketfusionanalytics.com
>
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