s_hat_bigsnp: Step Two of bigsnp2mashr
In Alice-MacQueen/switchgrassGWAS: Genome Wide Association on Panicum virgatum

Step Two of bigsnp2mashr

s_hat_bigsnp(
  path,
  gwas_rds,
  phenotype,
  top_set,
  random_sample,
  scaled = TRUE,
  markers = NULL,
  markers2 = NULL,
  model = c("linear", "logistic"),
  clump = TRUE
)

`path`	Path
`gwas_rds`	RDS file with gwas results
`phenotype`	Character vector. Single phenotype name
`top_set`	Top markers chosen
`random_sample`	Numeric vector. Random sample of SNPs
`scaled`	Logical. Should effect sizes and std errors be scaled?
`markers`	Marker names for the GWAS you ran
`markers2`	Markers to include if SNPs are LD clumped.
`model`	One of linear or logistic. Type of GWAS model.
`clump`	Logical. Clump SNPs?