funsRowColSums | R Documentation |
Two functions: row.sum
and col.sum
.
row.sum
returns the row sums of a given matrix (in particular a contingency table) as a vector and
col.sum
returns the column sums of a given matrix as a vector. row.sum
is equivalent to
rowSums
function and col.sum
is equivalent to colSums
function in the base
package.
row.sum(ct) col.sum(ct)
ct |
A matrix, in particular a contingency table |
row.sum
returns the row sums of ct
as a vector
col.sum
returns the column sums of ct
as a vector
Elvan Ceyhan
rowSums
and colSums
n<-20 #or try sample(1:20,1) Y<-matrix(runif(3*n),ncol=3) ipd<-ipd.mat(Y) cls<-sample(1:2,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10)) ct<-nnct(ipd,cls) row.sum(ct) rowSums(ct) col.sum(ct) colSums(ct) #cls as a factor na<-floor(n/2); nb<-n-na fcls<-rep(c("a","b"),c(na,nb)) ct<-nnct(ipd,fcls) row.sum(ct) rowSums(ct) col.sum(ct) colSums(ct) ############# n<-40 Y<-matrix(runif(3*n),ncol=3) ipd<-ipd.mat(Y) cls<-sample(1:4,n,replace = TRUE) #or try cls<-rep(1:2,c(10,10)) ct<-nnct(ipd,cls) row.sum(ct) rowSums(ct) col.sum(ct) colSums(ct)
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