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I tried to create bayesian network with function iamb(x) and gs(x). But it showed "Error in check.data(x) : variable MFYield must have at least two levels."

Here is my code,

bn[sapply(bn, is.character)] <- lapply(bn[sapply(bn, is.character)], as.factor)

attach(bn)

this is sample of my data "bn":

str(bn)

Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 59 obs. of 42 variables: $ MFYield : Factor w/ 2 levels "0","1": 1 1 1 1 2 1 1 1 1 1 ... $ MWtA : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ MWtT : Factor w/ 2 levels "0","1": 2 2 2 2 1 2 2 2 2 2 ... $ MClb : Factor w/ 2 levels "0","1": 2 2 2 2 2 1 1 1 1 1 ... $ MPS : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ MTwU : Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ... $ MTwD : Factor w/ 2 levels "0","1": 1 1 1 1 1 2 2 2 2 2 ... $ MTwDAgent: Factor w/ 2 levels "0","1": 1 1 1 1 1 2 2 2 2 2 ... 

bn.iamb = iamb(bn)

The error begun here, when I try to create network. Error in check.data(x) : variable MFYield must have at least two levels.

I am not sure that because my data is tibble? A tibble: 59 x 42 When I checked, it said: 

nlevels("bn$MFYield")

[1] 0

class(bn)

[1] "tbl_df" "tbl" "data.frame"

is.factor(bn$MFYield)

[1] TRUE

So, I think my data is already a factor, but R cannot detect it is already have two level. And I do not understand, why?

How can I fix it?. I quite a new beginner for R please help me to get through this.

Thank you.

user20650
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Wantidah
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  • this is because your data is a tibble. Convert it to a dataframe. (ie many packages are written to comply with standard base r structures, which imo seems a sensible default) – user20650 Jul 28 '17 at 12:12

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