search for: submean

Displaying 4 results from an estimated 4 matches for "submean".

Did you mean: submeans
2006 Feb 26
2
subtotal, submean, aggregate
Dear All, I would like to make partial sums (or means or any other function) of the values in intervals along a sequence (spatial transect) where groups are defined. For instance: habitats<-rep(c("meadow","forest","meadow","pasture"),c(10,5,12,6)) observations<-rpois(length(habitats),2)
2011 Jun 30
2
volcano plot.r
...2!") else {     #     #    Split the matrix by group     #     new_mats<-c()     for (ii in 1:length(grp_levs))         new_mats[ii]<-list(data[which(groups==levels(groups)[ii]),])          #     #    Calculate the means     #     # For each matrix, calculate the averages per column     submeans<-c()     # Preallocate a matrix for the means     means<-matrix(         nrow = 2,         ncol = length(colnames(data[,-1])),         dimnames = list(grp_levs,colnames(data[,-1]))         )     # Calculate the means for each variable per sample     for (ii in 1:length(new_mats))         {su...
2011 Jun 20
2
(no subject)
...2!") else { # # Split the matrix by group # new_mats<-c() for (ii in 1:length(grp_levs)) new_mats[ii]<-list(data[which(groups==levels(groups)[ii]),]) # # Calculate the means # # For each matrix, calculate the averages per column submeans<-c() # Preallocate a matrix for the means means<-matrix( nrow = 2, ncol = length(colnames(data[,-1])), dimnames = list(grp_levs,colnames(data[,-1])) ) # Calculate the means for each variable per sample for (ii in 1:length(new_mats)) {su...
2011 Jun 30
0
help with interpreting what nnet() output gives:
...2!") else { ? ? # ? ? # ? ?Split the matrix by group ? ? # ? ? new_mats<-c() ? ? for (ii in 1:length(grp_levs)) ? ? ? ? new_mats[ii]<-list(data[which(groups==levels(groups)[ii]),]) ? ?? ? ? # ? ? # ? ?Calculate the means ? ? # ? ? # For each matrix, calculate the averages per column ? ? submeans<-c() ? ? # Preallocate a matrix for the means ? ? means<-matrix( ? ? ? ? nrow = 2, ? ? ? ? ncol = length(colnames(data[,-1])), ? ? ? ? dimnames = list(grp_levs,colnames(data[,-1])) ? ? ? ? ) ? ? # Calculate the means for each variable per sample ? ? for (ii in 1:length(new_mats)) ? ? ? ? {su...