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

[David Winsemius]

Dimitri.

This has been asked a whole bunch of times on this list. Do a search  
on the text in the error message if you doubt me. I have this link on  
my toolbar:

R-search:
http://search.r-project.org/cgi-bin/namazu.cgi?query=&max=100&result=normal&sort=score&idxname=Rhelp10&idxname=Rhelp08&idxname=Rhelp02&idxname=functions

-- 
David.

On Feb 3, 2012, at 4:28 PM, R. Michael Weylandt wrote:

> 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
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

David Winsemius, MD
West Hartford, CT