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1 wrapper <- function(table, columns, options) {
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2
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3 # initialize output list
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4 l <- list()
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5
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6 # loop through all columns
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7 for (key in names(columns)) {
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8 # load column data
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9 column <- as.numeric(columns[key])
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10 column_data <- sapply( table[column], as.numeric )
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11
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12 # create hist data
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13 hist_data <- hist(column_data, plot=FALSE)
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14
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15 # normalize densities
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16 hist_data$counts=hist_data$counts/sum(hist_data$counts)
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17
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18 # collect vectors in list
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19 l <- append(l, list(hist_data$breaks[2: length(hist_data$breaks)]))
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20 l <- append(l, list(hist_data$counts))
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21 }
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22
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23 # make sure length is fine
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24 n <- max(sapply(l, length))
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25 ll <- lapply(l, function(X) {
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26 c(as.character(X), rep("", times = n - length(X)))
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27 })
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28 l <- do.call(cbind, ll)
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29
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30 # return
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31 return (l)
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32 }
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