Thanks a lot Gabor, that was very helpful. All sorted now!
Best
David
Your columns are factors, not character strings. Use as.is = TRUE as
an argument to read.table. Also its a bit dangerous to use T
although
not wrong. Its safer to use TRUE.
On 9/7/07, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote:
Dear List,
I have a newbie question. I have read in a data.frame as follows:
data = read.table(table.txt, header = T)
data
X1 X2 X3 X4
A AB AC AB AC
B AB AC AA AB
C AA AB AA AB
D AA AB AB AC
E AB AA AA AB
F AB AA AB AC
B AB AC AB AA
I would like to replace AA values by BB in column X2. I have tried
using replace() with no success, although I am not sure this is the
right function. This is the code I have used:
data$X2 - replace(data$X2, data$X2 ==AA,BB)
Warning message:
invalid factor level, NAs generated in: `[-.factor`(`*tmp*`, list,
value = BB)
What is wrong with the code? How can I get this done? how about
changing AA values by BB in all 4 columns simultaneously? Actually
this is a small example dataframe, the real one would have about
1000
columns.
Extendind this, I found a similar thread dated July 2006 that used
replace() on iris dataset, but I have tried reproducing it
obtaining
same warning message
iris$Species - replace(iris$Species, iris$Species
== setosa,NewName)
Warning message:
invalid factor level, NAs generated in: `[-.factor`(`*tmp*`, list,
value = NewName)
Thanks in advance your help,
David
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