Читать книгу The Big R-Book - Philippe J. S. De Brouwer - Страница 266

(for discrete distributions)

(for continuous distributions)

The unbiased estimator of the mean for K observations x_k is:

mean

P()

probability

probability

f()

Not surprisingly, the arithmetic mean in R is calculated by the function mean().

probability density function

mean()

This is a dispatcher function¹ and it will work in a meaningful way for a variety of objects, such as vectors, matrices, etc.

# The mean of a vector: x <- c(1,2,3,4,5,60) mean(x) ## [1] 12.5 # Missing values will block the override the result: x <- c(1,2,3,4,5,60,NA) mean(x) ## [1] NA # Missing values can be ignored with na.rm = TRUE: mean(x, na.rm = TRUE) ## [1] 12.5 # This works also for a matrix: M <- matrix(c(1,2,3,4,5,60), nrow=3) mean(M) ## [1] 12.5