On Jan 30, 2010, at 12:46 AM, Abhishek Pratap wrote:
I exactly know my problem. The read.table by default reads my data
from few columns as factors/character type. Can you please give me an
example of how to force it to read these columns as numbers. I dont
see example of how to use (as.is)
You can use colClasses() or set stringsAsFactors=FALSE.
Thanks!
-Abhi
On Sat, Jan 30, 2010 at 12:34 AM, Abhishek Pratap
<abhishek....@gmail.com> wrote:
I see what is happening here. When I am reading the data frame values
from a csv file, they are not read as numerics.
_A
On Sat, Jan 30, 2010 at 12:29 AM, Abhishek Pratap
<abhishek....@gmail.com> wrote:
Hi All
I am seeing quite a silly thing for which I dont have much of
explanation. I want to take per row mean of 3 columns of a data
frame.
What I am getting is all NA in the result. Here is what I am doing
apply(a[,1:3],1,mean)
I get warnings.
In mean.default(newX[, i], ...) :
argument is not numeric or logical: returning NA
I am not sure how it thinks the values are not numeric. May be I
had a
long day and not able get something fairly obvious.
==========
summary(a)
animal1_wt animal2_wt
animal3_wt
0 : 5448 0 : 5295
0 :
5501
0.232266 : 7 0.17356 : 5
6.22424 : 6
1.05487 : 6 0.00630758: 4
0.0395818 : 5
0.258336 : 5 0.0131442 : 4
4.14949 : 5
0.372308 : 5 0.0143924 : 4
0.00964998: 4
0.00926343: 4 0.017208 : 4
0.0172297 : 4
(Other) :15696 (Other) :15855 (Other) :
15646
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