HI,
Do you want to replace the column ("level of education") with values or just
add values as second column? I guess you are looking for the latter.
Try this,
dat<-data.frame(Levelofeducation=rep(c("none","HighSchool","College"),c(3,3,3)),value=rep(c(0,1,2),c(3,3,3)))
str(dat)
data.frame': 9 obs. of 2 variables:
$ Levelofeducation: Factor w/ 3 levels "College","HighSchool",..: 3 3 3 2 2 2
1 1 1
$ value : num 0 0 0 1 1 1 2 2 2
> dat
Levelofeducation value
1 none 0
2 none 0
3 none 0
4 HighSchool 1
5 HighSchool 1
6 HighSchool 1
7 College 2
8 College 2
9 College 2
A.K.
----- Original Message -----
From: RBB <raulba...@gmail.com>
To: r-help@r-project.org
Cc:
Sent: Tuesday, May 29, 2012 2:01 PM
Subject: [R] PROBLEMS with In `[<-.factor`(`*tmp*`, (¿ORDERED FACTOR?)
HI!!!
I have a table containing qualitative and quantitative data; one of the
columns contains "Level of education", and the possibilities are "none",
"High school", "college"; I want to give the value 0 to "none", the value 1
to "High school", and 2 to "college", but I got the following error:
In `[<-.factor`(`*tmp*`, educa = "college", value = 2) :
invalid factor level, NAs generated
WHAT IS WRONG????? :S :S :S
THANKS A LOT!!!!!!!!!!!!!!
--
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