Problem running binary trait

[vunguyen1907]

Hi YiLiLin.

Sorry to bother you again. I am tring to run binary (survival) trait code as 0, 1 and NA in KAML but can not finish the run. It run well with continuous trait. Please see the screenshot.

Do my phenotype data format is wrong?

I ran this: iter1test1 <- KAML(pfile="pheno_iter1test1.txt", pheno=1, dcovfile="dcov_tracatfish.txt", qcovfile="qcov_tracatfish.txt", gfile="tracatfish", sample.num=20, crv.num=5)

Regards,

Vu

[YinLiLin]

How is the proportion of case and control at this trait? As KAML uses cross-validation to optimize model parameters, if the distribution of case and control is too extreme, there maybe a risk that all the cases or controls would be allocated into trainings, therefore, all the validations only have one category, which would cause problem to compute prediction accuracy.

[bigshrimp123]

Hi YiLiLin I had a similar problem when using example data. Here is my code

KAML.Data(bfile="testdata", out="test") KAML.Impute("test") mykaml <- KAML(pfile="testdata.Pheno.txt", pheno=4, gfile="test")

And the error was:

Regards,

jimmy

[YinLiLin]

@bigshrimp123 Thank for your feedback. Please try to change another seed by parameter 'theSeed', and also turn on the flag binary = TRUE

[bigshrimp123]

Thank for your suggestions. But, it can not solve the problem. Here is my code: mykaml <- KAML(pfile="testdata.Pheno.txt", pheno=4, gfile="test",theSeed=333,binary = TRUE)

and the error was also like this: