I'm quite green regarding bayesian networks and bnlearn. I apologize in advance.
I'm working on a database given by my PhD supervisor. When I'm exporting it from spss I get a different network to that exported from csv. Is this usual? It's the same data... The difference is in the inbetween step of transforming it from .sav to .csv through spss...
The major problem is that when I'm using the .sav exported data, somehow I keep getting this error message that my variables aren't discrete (they've been recoded into categorical variables, so I don't get where this comes from). Hence, they can't be used in samIam.
This is the error: "Error in write.net(rehosp.hc.fit, file = "rehosp.hc.learned.net") : only discrete Bayesian networks can be exported into DSC format."
And here goes the code:
require (bnlearn)
library(haven)
path <- file.path("C:/.../path_to_file/...", "database.sav")
rehosp.data <- read_sav(path)
print(str(rehosp.data))
rehosp.hc.net <- hc(rehosp.data, debug=TRUE)
plot(rehosp.hc.net)
rehosp.hc.fit <- bn.fit(rehosp.hc.net, rehosp.data)
write.net(rehosp.hc.fit, file="filename")
Could use some guidance.
Thanks!