[R] Covariance-Variance Matrix and For Loops

[sf1979]

Hello again,

sapply works. 

However it does not explicitly call a simplify function, but rather seems to
handle the case within its own body of code. I should be able to figure out
basically what simplify2array does from the code though.

function (X, FUN, ..., simplify = TRUE, USE.NAMES = TRUE) 
{
    FUN <- match.fun(FUN)
    answer <- lapply(X, FUN, ...)
    if (USE.NAMES && is.character(X) && is.null(names(answer))) 
        names(answer) <- X
    if (simplify && length(answer) && length(common.len <-
unique(unlist(lapply(answer, 
        length)))) == 1L) {
        if (common.len == 1L) 
            unlist(answer, recursive = FALSE)
        else if (common.len > 1L) {
            r <- as.vector(unlist(answer, recursive = FALSE))
            if (prod(d <- c(common.len, length(X))) == length(r)) 
                array(r, dim = d, dimnames = if (!(is.null(n1 <-
names(answer[[1L]])) & 
                  is.null(n2 <- names(answer)))) 
                  list(n1, n2))
            else answer
        }
        else answer
    }
    else answer
}
<environment: namespace:base>

--
View this message in context: http://r.789695.n4.nabble.com/Covariance-Variance-Matrix-and-For-Loops-tp3859441p3862347.html
Sent from the R help mailing list archive at Nabble.com.