Hello
Suppose I have a matrix mat=(1:16,2)
[,1] [,2] [,3] [,4]
[1,] 1 5 9 13
[2,] 2 6 10 14
[3,] 3 7 11 15
[4,] 4 8 12 16
there is a vector end=c(2,3,1,3)
#coerce the 1st 2 numbers of the 1st column to a vector [1] 1 2
#coerce the 1st 3 numbers of the 2nd column and append it to the previous vector [1] 1 2 5 6 7
#coerce the 1st number of the 3rd column and append it to the previous vector [1] 1 2 5 6 7 9
#coerce the 1st 3 numbers of the 4th column and append it to the previous vector [1] 1 2 5 6 7 9 13 14 15
#they are specified by vector end
a for loop
mat<-matrix(1:16,4)
end<-c(2,3,1,3)
vec<-numeric()
for (i in 1:4)
{vec<-c(vec,mat[1:end[i],i])
}
#the result
> vec
[1] 1 2 5 6 7 9 13 14 15
but when I want to do it to a large dataset, it's inefficiency becomes a problem, so need vectorization
Thank you in advance
Yours sincerely
ZhaoXing
Department of Health Statistics
West China School of Public Health
Sichuan University
No.17 Section 3, South Renmin Road
Chengdu, Sichuan 610041
P.R.China
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how to coerce part of each column of a matrix to a vector and merge them
2 messages · zhaoxing731, Michael Bedward
Hello, The answer to this one drops out of the answer to your previous question... m <- matrix(1:16, nrow=4) end <- c(2,3,1,3) ii <- cbind(sequence(end), rep(1:length(end), end)) x <- m[ ii ] Hope this helps, Michael 2011/1/11 zhaoxing731 <zhaoxing731 at yahoo.com.cn>:
Hello
Suppose I have a matrix mat=(1:16,2)
[,1] [,2] [,3] [,4]
[1,] 1 5 9 13
[2,] 2 6 10 14
[3,] 3 7 11 15
[4,] 4 8 12 16
there is a vector end=c(2,3,1,3)
#coerce the 1st 2 numbers of the 1st column to a vector [1] 1 2
#coerce the 1st 3 numbers of the 2nd column and append it to the previous vector [1] 1 2 5 6 7
#coerce the 1st number of the 3rd column and append it to the previous vector [1] 1 2 5 6 7 9
#coerce the 1st 3 numbers of the 4th column and append it to the previous vector [1] 1 2 5 6 7 9 13 14 15
#they are specified by vector end
a for loop
mat<-matrix(1:16,4)
end<-c(2,3,1,3)
vec<-numeric()
for (i in 1:4)
{vec<-c(vec,mat[1:end[i],i])
}
#the result
> vec
[1] 1 2 5 6 7 9 13 14 15 but when I want to do it to a large dataset, it's inefficiency becomes a problem, so need vectorization Thank you in advance Yours sincerely ZhaoXing Department of Health Statistics West China School of Public Health Sichuan University No.17 Section 3, South Renmin Road Chengdu, Sichuan 610041 P.R.China
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