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34
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1 # wrapper
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2 wrapper <- function(table, columns, options) {
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3
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4 # initialize output list
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5 l <- list()
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6
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7 # loop through all columns
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8 m <- list()
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9 for (key in names(columns)) {
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10 # load column data
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11 column <- as.numeric(columns[key])
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12
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13 # ensure string column
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51
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14 column_data <- as.character(table[column][[1]])
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15
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34
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16 # collect vectors in list
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17 m <- append(m, list(column_data))
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18 }
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19
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20 # get alphabetically sorted bins
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21 bins <- sort(unique(unlist(m)))
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22
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23 # add first column
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24 l <- append(l, list(bins))
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25
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26 # loop through all columns
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27 for (key in seq(m)) {
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28 # reset bins
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29 bins = sapply(bins, function(v) { 0 })
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30
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31 # load column data
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32 column_data <- m[[key]]
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33
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34 # create hist data
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35 table_data <- table(column_data)
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36
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37 # transfer counts to bins
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38 for (id in names(table_data)) {
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39 bins[id] <- table_data[id]
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40 }
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41
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42 # normalize densities
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43 total <- length(column_data)
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44 if (total > 0) {
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45 bins = bins / total
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46 }
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47
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48 # collect vectors in list
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49 l <- append(l, list(bins))
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50 }
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51
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52 # return
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53 return (l)
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54 }
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