Entering edit mode
Guest User
★
13k
@guest-user-4897
Last seen 10.6 years ago
ID_REF GSM133971 GSM133972 GSM133973
244901_at 5.95461158752441E+001 1.88836498260498E+001
1.98215045928955E+001
244902_at 7.25400314331055E+001 2.65250205993652E+001
1.95321922302246E+001
244903_at 2.23291015625000E+002 1.78133636474609E+002
5.38166885375977E+001
244904_at 3.65505447387695E+001 3.04016351699829E+000
6.80462265014648E+000
244905_at 4.07523269653320E+001 2.58869285583496E+001
1.18088026046753E+001
244906_at 1.50184860229492E+002 5.39840278625488E+001
4.14917945861816E+001
244907_at 2.65190029144287E+001 1.39808797836304E+000
2.08662915229797E+000
244908_at 3.50156021118164E+000 1.05003893375397E+000
4.57657009363174E-001
244909_at 1.02663551330566E+002 1.42618169784546E+001
1.61735534667969E+001
244910_s_at 7.20161895751953E+001 1.57578134536743E+001
1.31729679107666E+001
244911_at 3.26349411010742E+001 7.23858451843262E+000
6.47778940200806E+000
The above is the MAS5.0 normalized data and I need to read the data in
R but getthe following error:
mydat=read.csv("trans.csv",header=T)
Error in make.names(col.names, unique = TRUE) :invalid multibyte
string at '<ff><
-- output of sessionInfo():
I tried doing the following :
de=read.table(textConnection("
ID_REF GSM133971 GSM133972 GSM133973
+ 244901_at 5.95461158752441E+001 1.88836498260498E+001
1.98215045928955E+001
+ 244902_at 7.25400314331055E+001 2.65250205993652E+001
1.95321922302246E+001
+ 244903_at 2.23291015625000E+002 1.78133636474609E+002
5.38166885375977E+001
+ 244904_at 3.65505447387695E+001 3.04016351699829E+000
6.80462265014648E+000
+ 244905_at 4.07523269653320E+001 2.58869285583496E+001
1.18088026046753E+001
+ 244906_at 1.50184860229492E+002 5.39840278625488E+001
4.14917945861816E+001
+ 244907_at 2.65190029144287E+001 1.39808797836304E+000
2.08662915229797E+000
+ 244908_at 3.50156021118164E+000 1.05003893375397E+000
4.57657009363174E-001
+ 244909_at 1.02663551330566E+002 1.42618169784546E+001
1.61735534667969E+001
+ 244910_s_at 7.20161895751953E+001 1.57578134536743E+001
1.31729679107666E+001
+ 244911_at 3.26349411010742E+001 7.23858451843262E+000
6.47778940200806E+000"),header = TRUE,as.is= TRUE,sep = ',')
str(de)
'data.frame': 11 obs. of 1 variable:
$
ID_REF...........GSM133971..........GSM133972...............GSM133973:
chr "244901_at 5.95461158752441E+001 1.88836498260498E+001
1.98215045928955E+001" "244902_at 7.25400314331055E+001
2.65250205993652E+001 1.95321922302246E+001" "244903_at
2.23291015625000E+002 1.78133636474609E+002 5.38166885375977E+001"
"244904_at 3.65505447387695E+001 3.04016351699829E+000
6.80462265014648E+000" ...
But when I try doing for the whole dataset I get an error:
de=read.table(textConnection("trans.csv"),header = TRUE,as.is=
TRUE,sep = ',')
de
[1] trans.csv
<0 rows> (or 0-length row.names)
--
Sent via the guest posting facility at bioconductor.org.