hanaml.Multinomial {hana.ml.r} | R Documentation |
This is a random generation procedure with a given multinomial distribution.
hanaml.Multinomial(conn.context, m = NULL, size = NULL, prob = NULL, seed = NULL, thread.ratio = NULL)
conn.context |
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m |
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size |
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prob |
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seed |
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thread.ratio |
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DataFrame containing the generated random samples,
structured as follows:
- ID, type INTEGER, ID column.
- Generated random number columns, named by appending index number
(starting from 1 to length of 'pvals') to Random_P,
type DOUBLE. There will be as many columns here as there are values
in pvals.
## Not run: Draw samples from a multinomial distribution. > multi <- hanaml.Multinomial(conn, m = 10, size = 10, prob = c(0.2, 0.3, 0.25, 0.25), seed = 1, thread.ratio = 0) > multi$collect() ID RANDOM_P1 RANDOM_P2 RANDOM_P3 RANDOM_P4 1 0 0 2 4 4 2 1 2 2 4 2 3 2 4 0 5 1 4 3 0 0 5 5 5 4 1 4 2 3 6 5 4 1 4 1 7 6 1 4 2 3 8 7 2 3 2 3 9 8 3 0 6 1 10 9 2 2 3 3 ## End(Not run)