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Hello, apologies if this is a really dumb question.
I have been tasked to perform a "GWAS analysis" on some genotype data. I usually do this in R with a logistic regression model, but I thought I'd try vcf2gwas instead. However, I don't see logistic regression among the model options. Or is it equivalent to -lmm --multi? But there is no option to specify what phenotype variable to be the "outcome" variable, if you know what I mean. Is it the first one specified?
Please excuse my statistics ignorance :)
Joel
EDIT: I think I'm beginning to confuse or de-confuse myself. The adding of covariates is probably what I was trying to do... and the -p option variables are the ones that will be "predicted", ja?
The text was updated successfully, but these errors were encountered:
Hello, apologies if this is a really dumb question.
I have been tasked to perform a "GWAS analysis" on some genotype data. I usually do this in R with a logistic regression model, but I thought I'd try vcf2gwas instead. However, I don't see logistic regression among the model options. Or is it equivalent to -lmm --multi? But there is no option to specify what phenotype variable to be the "outcome" variable, if you know what I mean. Is it the first one specified?
Please excuse my statistics ignorance :)
Joel
EDIT: I think I'm beginning to confuse or de-confuse myself. The adding of covariates is probably what I was trying to do... and the -p option variables are the ones that will be "predicted", ja?
The text was updated successfully, but these errors were encountered: