On Aug 31, 2010, at 10:48 PM, Dejian Zhao wrote:
R does have a mode function, but it seems NOT to do the same thing
as in matlab.
Correct. It does not return the value of a vector with maximal
proportions of individual elements.
?mode
(It appears that the Matlab formalism fn(Name[vec, :]) may be similar
to the apply function, but that is just a guess from what was written.
There is an "R for Matlab Users" document by David Hiebeler that
should be easy to find with a Google search. Probably also in the
contributed docs.)
--
David
> A <- matrix(c(1:3,1,3,2,3,3,2),nrow=3,byrow=F)
> A
[,1] [,2] [,3]
[1,] 1 1 3
[2,] 2 3 3
[3,] 3 2 2
> A[,2]
[1] 1 3 2
> mode(A)
[1] "numeric"
> mode(A[,2])
[1] "numeric"
On 2010-9-1 5:19, Iain Martyn wrote:
Hi, I have what I think is a simple question/issue but I have
unable to find the answer for it either in the R-manual or by
browsing the web.
I would like to know if there is a "mode" function in R, such that
from a vector or matrix the function returns the most common
value. In other programs I use (such as Matlab) I can have for
exampe a 3X3 matrix A, A=[1 2 3; 1 3 2; 3 3 2] and I can find the
mode of the rows so that mode(A[1:3,:]) returns a 1X3 matrix [1 3 2].
Is this possible in R as well? If not, how would one go about this?
Thank you very much,
Bill
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