Replicate expression and return results in a array.
Evalulate expression n times then combine results into an array
raply(.n, .expr, .progress = "none", .drop = TRUE)
.n |
number of times to evaluate the expression |
.expr |
expression to evaluate |
.progress |
name of the progress bar to use, see |
.drop |
should extra dimensions of length 1 be dropped, simplifying the output. Defaults to |
This function runs an expression multiple times, and combines the
result into a data frame. If there are no results, then this function
returns a vector of length 0 (vector(0)).
This function is equivalent to replicate, but will always
return results as a vector, matrix or array.
if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)
Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. http://www.jstatsoft.org/v40/i01/.
raply(100, mean(runif(100))) raply(100, each(mean, var)(runif(100))) raply(10, runif(4)) raply(10, matrix(runif(4), nrow=2)) # See the central limit theorem in action hist(raply(1000, mean(rexp(10)))) hist(raply(1000, mean(rexp(100)))) hist(raply(1000, mean(rexp(1000))))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.