In R, mean()
and median()
are standard functions which do what you\'d expect. mode()
tells you the internal storage mode of the objec
R has so many add-on packages that some of them may well provide the [statistical] mode of a numeric list/series/vector.
However the standard library of R itself doesn't seem to have such a built-in method! One way to work around this is to use some construct like the following (and to turn this to a function if you use often...):
mySamples <- c(19, 4, 5, 7, 29, 19, 29, 13, 25, 19)
tabSmpl<-tabulate(mySamples)
SmplMode<-which(tabSmpl== max(tabSmpl))
if(sum(tabSmpl == max(tabSmpl))>1) SmplMode<-NA
> SmplMode
[1] 19
For bigger sample list, one should consider using a temporary variable for the max(tabSmpl) value (I don't know that R would automatically optimize this)
Reference: see "How about median and mode?" in this KickStarting R lesson
This seems to confirm that (at least as of the writing of this lesson) there isn't a mode function in R (well... mode() as you found out is used for asserting the type of variables).