Given the table "Tgiven", I need to compute the median "val_med" of the columns "val1" and "val2", i.e. need to get the table "Trequired"
Below is a simple data structure that mimics the more complicated data I have. Your help is appreciated:
grps
You are talking about medians of columns in the header, but the example leads to the row-wise medians, as in your other question. If you want the column-wise medians HERE you need to change the margin in the apply() command, i.e.
apply(Tgiven, 2, FUN = median)
You can find the explanation
"E.g., for a matrix 1 indicates rows, 2 indicates columns, c(1, 2)"
in
?apply
So another possible solution to your other question (and to the example given in THIS question) would have been apply(Tgiven, 1, FUN = median)
Jimmy, you should learn R yourself. Read the good and free online books, or buy one, or watch some tutorial on youtube. You are continuously asking the same question over and over again!
Use apply(), as usual ;)
You are talking about medians of columns in the header, but the example leads to the row-wise medians, as in your other question. If you want the column-wise medians HERE you need to change the margin in the apply() command, i.e.
apply(Tgiven, 2, FUN = median)
You can find the explanation
"E.g., for a matrix 1 indicates rows, 2 indicates columns, c(1, 2)"
in
?apply
So another possible solution to your other question (and to the example given in THIS question) would have been apply(Tgiven, 1, FUN = median)
Susanne is right. You might also think about sending your R questions to stackoverflow.com. You can get answers in about 10 minutes.
See
http://stackoverflow.com/questions/1653271/how-do-you-find-the-median-of-2-columns-using-r
You can use the package ‘matrixStats’ and you use the syntax colMedians for column and rowMedians for the row
or
you can use
> grps median(grps)
[1] 2.5
> val1 median(val1)
[1] 12.5
> val2 median(val2)
[1] 4.75
> Tgiven # 3 environment variables, a, b and c
> Tgiven$a Tgiven$b Tgiven$c med med
$a
[1] 2.5
$b
[1] 12.5
$c
[1] 4.75
> val_med val_med
[1] 2.50 12.50 4.75
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