I apologize for the beginner nature of my question but I am not understanding the file structure in Julia.
I am wanting to run lmm on a very large file (470000x2000), I would like to run one lmm on each of the 470000 observations. I have loaded in my matrix and my covariates to Julia using the following code: betas = readtable("betas.txt", separator='\t') covarsInput=readtable("covarsInputJulia.csv") covarsInput[:CNValues]=PooledDataArray(covarsInput[:CNValues]) covarsInput[:Age]=PooledDataArray(covarsInput[:Age]) covarsInput[:Sex]=PooledDataArray(covarsInput[:Sex]) covarsInput[:ChipID]=PooledDataArray(covarsInput[:ChipID]) I am then running an lmm, in this fashion: m=fit!(lmm(betas~CNValues+Age+Sex+(1|ChipID1911),covarsInput)) This will not run because covarsInput is the dataframe being specified and betas is not in covarsInput. I have no idea how to remedy this? So a) how do I get all my files in the same "dataframe" even if one is a large matrix, and b) how do I get the lmm to run on each probe in betas Any help you can provide is greatly appreciated, I am very new to this and pretty confused! Thank you!