stats[transform, split[n]](data)

transform[split[n]](data)

Important: The stats package has been deprecated. Use the superseding package Statistics instead.

The following is an extended example where a list of numbers will be randomly generated, used in a histogram which will be compared to the theoretical distribution. Generate 300 numbers (reduce this number for faster results), randomly generated with a normal distribution

Sort the data.

Number of lists is set to 5 (increase it for a better resolution, but ensure there are enough points in the list).

Split into lists of equal weight.

Obtain classes of equal weight from those lists. Make the total weight equal to 1.

Construct histogram:

Create a theoretical curve

Display both the theoretical curve and the histogram.

Statistics, statplots(deprecated)[histogram], stats(deprecated)[data], stats(deprecated)[transform]