Hi Manisha,
Manisha Brahmachary wrote:
Hello,
I am trying to calculate the median of numbers across each row for the data
shown below , with the condition that if the number is negative, that it
should be ignored and the median should be taken of only the positive
numbers.
For eg: data is in Column A,B,C. Column D and E demonstrates what I want to
get as answer
A
B
C
Median
median value
-13.6688115
-32.50914055
-50.54011892
all negative, so ignore
NA
NA
-53.65656268
42.58599666
median C
42.58599666
33.30683089
18.93765489
-25.17024229
median A,B
26.12224289
The R script I have written is below( which doesnot do the job properly)
median.value<- matrix(nrow=nrow(data),ncol=1)
for(k in 1:nrow(data)){
median.value[k]<-median(data[which(data[k,]>0)])}
meds <- apply(data, 1, function(x) ifelse(median(x) < 0, median(x[x >=
0]), median(x)))
I would normally avoid variable names like data, as you are masking a
function by the same name.
Best,
Jim
Can someone suggest me the correct R script to do what I have explained
above.
Thanks
Manisha
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
James W. MacDonald, M.S.
Biostatistician
Douglas Lab
University of Michigan
Department of Human Genetics
5912 Buhl
1241 E. Catherine St.
Ann Arbor MI 48109-5618
734-615-7826
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
