acond: Transform a frequency table into relative frequencies...

In gmonette/spida15: Collection of miscellaneous functions for mixed models etc. prepared for SPIDA 2009+ (development version)

Usage

acond(x, MARGIN = NULL)

Arguments

x
MARGIN

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x, MARGIN = NULL) 
{
    debug <- F
    x <- atotal(x)
    if (is.null(MARGIN)) 
        return(x/x[length(x)])
    d <- dim(x)
    if (debug) {
        cat("dim(x)\n")
        print(d)
    }
    dn <- dimnames(x)
    if (debug) {
        cat("dimnames(x)\n")
        print(dn)
    }
    n <- length(d)
    m <- length(MARGIN)
    perm <- c(MARGIN, setdiff(1:n, MARGIN))
    perm.inverse <- order(perm)
    if (debug) 
        print(perm)
    if (debug) 
        print(perm.inverse)
    x <- aperm(x, perm)
    d <- dim(x)
    zl <- list(x)
    for (ii in 1:length(d)) zl[[ii + 1]] <- seq(if (ii <= m) 
        1
    else d[ii], d[ii])
    tots <- do.call("[", zl)
    ret <- array(c(x)/c(tots), dim = d)
    ret <- aperm(ret, perm.inverse)
    if (debug) 
        print(dim(ret))
    if (debug) 
        print(dn)
    dimnames(ret) <- dn
    ret
  }

gmonette/spida15 documentation built on May 17, 2019, 7:26 a.m.