On May 29, 2012, at 11:01 AM, RBB wrote:
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
Hard to say. Although we can be fairly sure you have a factor and that
your do NOT have an R contingency table. If you really had a table it
would be one thing. A dataframe is another thing and one that is much
more common.
dfrm <- data.frame(lev=factor(c("none", "high", "low", "high", "low")))
> dfrm
lev
1 none
2 high
3 low
4 high
5 low
> levels(dfrm$lev)<- 2:0
> dfrm
lev
1 0
2 2
3 1
4 2
5 1
Notice that a factor variable's levels are ordered alphabetically, so
"high" < "low" < "none" and if you wnat the numbers to match up you
need to mentally figure out the right order to make the matching work
properly.
(It would be better practice not to overwrite the levels of an
existing factor, since that action makes it very easy to really hash
up the data.
--
David.
THANKS A LOT!!!!!!!!!!!!!!
--
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