The following reshapes mat so we can take the means of the columns
of the resulting 3d array and then transposes it back to the original
orientation:
t(colMeans(array(t(mat), c(100, 448, 24
You might want to try it on this test set first where anscombe
is an 11x8 data set built into R.
I have an array with 44800 columns and 24 rows I would like to compute the
row average for the array 100 columns at a time, so I would like to end up
with an array of 24 rows x 448 columns. I have tried using apply(dataset, 1,
function(x) mean(x[])), but I am not sure how to get it to take the
On Wed, 2006-08-16 at 11:36 -0600, Spencer Jones wrote:
I have an array with 44800 columns and 24 rows I would like to compute the
row average for the array 100 columns at a time, so I would like to end up
with an array of 24 rows x 448 columns. I have tried using apply(dataset, 1,
function(x)
Spencer Jones a écrit :
I have an array with 44800 columns and 24 rows I would like to compute the
row average for the array 100 columns at a time, so I would like to end up
with an array of 24 rows x 448 columns. I have tried using apply(dataset, 1,
function(x) mean(x[])), but I am not sure
