Dear all,
Probably a very basic question but I need some help.
I have a data frame (made by read.table from a text file) of microarray data,
of which the first column is a factor and the rest of the columns are numeric.
The factor column contains chromosome names, so values 1 through 22 plus X, Y
and XY. The numeric columns contain positions or intensity measurements.
What I need to do is change the X's in the first column to a value of 23.
This is what I thought I would do:
BAF_temp <- read.table("BAF_all.txt", sep="\t", header=T) #to read in the table
BAF_temp[,1][BAF_temp[,1]=="X"] <- 23 #"in rows where
the first column of BAF_temp is X, change the first column of BAF_temp to 23"
However with this last line I get an error: "Invalid factor level, NAs
generated in '[<-.factor'('*tmp*', BAF_temp[,1]=="X", value=23)"
(I tested if my syntax for selecting the rows of chromosome X was correct by
trying
BAF_X <- BAF_temp[BAF_temp[,1]=="X",]
which worked to give me a data frame with only the rows of the X chromosome.)
I then thought it might work better if I changed the data frame to a matrix.
When I change the BAF_temp data frame into a matrix (by BAF_matrix <-
as.matrix(BAF_temp)), then the command I used above:
BAF_temp[,1][BAF_temp[,1]=="X"] <- 23
works fine and the end result is as I meant it to be, with all the X's changed
into 23's.
However, by using as.matrix all columns are changed to 'character' including
the numeric measurements (I understand this is because one of the columns of
the data frame is 'factor')
I would like some help on what is the best option to solve this. I have thought
of a few options myself and would like your comment/help:
1. Is there another syntax I can use on the data frame to change the X's to
23's, so I don't have to change the data frame into a matrix first?
2. I could change the data frame into a matrix and run the syntax as I
described, resulting in all columns becoming 'character'; is there then an easy
way to turn the columns with measurements (columns 2 and further) back into
'numeric' while leaving the first column with the chromosome numbers as
'character'?
3. I thought of using data.matrix(BAF_temp) and making use of the fact that the
first column of factors would be changed to the underlying numbers (because X
being the 23rd level in the list would automaticly be changed to 23). However
because the levels (chromosome names) of the factor column are ordered as "1",
"10", "11", "12",....,"19", "2", "20", "21", "3", "4", etc. (I see this when
using str(BAF_temp)) , this results in chromosome 10 being changed into a value
of 2, chromosome 11 into 3, chromosome 2 into 12 etc. For info: the chromosome
names in the text file that is imported are ordered just 1, 2, 3, etc.
If anyone has some tips for me I would greatly appreciate it.
Best wishes,
Marije
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