Error in bnlearn: variable has 5 levels but I get the error " variable arb_review must have at least two levels."

Asked Mar 28 '17 at 06:27

Active Jul 24 '17 at 02:49

Viewed 733 times

My data consists of 3 factor variables each with 5 levels. head(swiss_bn,n = 10)

A tibble: 10 × 3
    arb_review blocks  stops
        <fctr> <fctr> <fctr>
1  exploratory  [1,2]  (0,2]
2  exploratory  (3,5]  (0,2]
3  exploratory  (2,3]  (0,2]
4  exploratory  [1,2]  (0,2]
5  exploratory  [1,2]      0
6  exploratory  (3,5]  (2,4]
7  exploratory  (3,5]  (0,2]
8  exploratory  (2,3]  (0,2]
9  disoriented (5,23] (4,18]
10 disoriented (5,23] (4,18]

nlevels(swiss_bn$arb_review)

[1] 5

But When I run

library(bnlearn)
hc(swiss_bn)

I get the following error

Error in check.data(x) : variable arb_review must have at least two levels.

asked Mar 28 '17 at 06:27

JJ Levine

Can't reproduce the error with the example you posted. Everything works for me. Share a dataset that reproduces the error. – nicola Mar 28 '17 at 06:39
2

Use a data.frame not a tibble. – user2957945 Apr 15 '17 at 17:30

Error in bnlearn: variable has 5 levels but I get the error " variable arb_review must have at least two levels."

0 Answers0