comparison histogram.r @ 13:e676c441d388 draft

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12:9479e62342fa

# wrapper
wrapper <- function(table, columns, options) {

    # initialize output list
    l <- list()

    
    # get min/max boundaries
    min_value <- min(unlist(m))
    max_value <- max(unlist(m))
    
    # check if single bin is enough
    if (min_value == max_value) {
        l <- append(l, max_value)
        for (key in seq(m)) {
            l <- append(l, 1.0)
        }
        return (l)
    }
    
    # identify increment
    increment <- (max_value - min_value) / 10
    
    # fix range and bins
    bin_seq = seq(min_value, max_value, by=increment)
 
    # add as first column
    l <- append(l, list(bin_seq[2: length(bin_seq)]))
    
    # loop through all columns
    for (key in seq(m)) {

13:e676c441d388

# utilities
boundary <- function(x, increment) {
    return (floor(x / increment) * increment)
}

roundup <- function(x) {
    return (sign(x) * 10^ceiling(log10(abs(x))))
}

# wrapper
wrapper <- function(table, columns, options) {

    # initialize output list
    l <- list()

    
    # get min/max boundaries
    min_value <- min(unlist(m))
    max_value <- max(unlist(m))
    
    # identify increment
    increment <- roundup((max_value - min_value) / 10)
    
    # fix min value
    min_value <- boundary(min_value, increment)
    
    # fix max value
    max_value <- min_value + increment * 10
    
    # check if single bin is enough
    if (min_value == max_value) {
        l <- append(l, max_value)
        for (key in seq(m)) {
            l <- append(l, 1.0)
        }
        return (l)
    }
    
    # fix range and bins
    bin_seq = seq(min_value, max_value, by=increment)
    
    # add as first column
    l <- append(l, list(bin_seq[2: length(bin_seq)]))
    
    # loop through all columns
    for (key in seq(m)) {