I have data named cluster_1. It has nominal variable from first column to the third.
# select the columns based on the clustering results
cluster_1 <- mat[whi
colMeans()
will give you the mean of each column in a data frame or matrix. And rbind()
can be used to append the result.
rbind(cluster_1[, -(1:3)], colMeans(cluster_1[, -(1:3)]))
A generalization of what you are doing can be found with the function addmargins
. Try, for example:
cluster_1Means <- addmargins(cluster_1[, -(1:3)], margin = 1, FUN = mean)
cluster_1Means