Dear R-friends
   
  I have several data files with about 1,900 lines (records) each. I´m using read.table command to read the files. The files looks like
  LID                                                     ,   TYPE ,        PLAND
  D:\Bijou-MC\Simula_P005_H100_R001.txt , Forest ,       NA
  D:\Bijou-MC\Simula_P005_H100_R001.txt , Forest ,       10.2
  D:\Bijou-MC\Simula_P010_H100_R001.txt , Forest ,        9.2
  ---
   
  My first problem is that some command (like hist(data$PLAND)) say that the data isn´t a numeric one. May be because the first PLAND value are NA? When I done read.table command I used something link:
  data<-read.table (file="xxx.dat", head=T, sep="\,", na.strings="NA").
   
  Another problem is that I need parse the LID column. When I do "print (head(data$LID) I receive the following result (look that the slash was lost on the read):
       D:Bijou-MCSimula_P005_H100_R001.txt
       D:Bijou-MCSimula_P005_H100_R001.txt
       D:Bijou-MCSimula_P010_H100_R001.txt
  Its ok to me, but now I need create the P, H and R columns into the "data" table as a parse of LID column. When I try use the command "p<-substr(data$LID, 19,3)" I got an error message saying that the variable is not char one.
   
  Finally, I´d like drop the LID column and insert the P, H and R into the table.
   
  Thanks for your help!
   
  Kind regards, miltinho
   
   
   



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