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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