View source: R/cdbn_bigsnp2mashr.R
Step Two of bigsnp2mashr
1 2 3 4 5 6 7 8 9 10 11  | s_hat_bigsnp(
  path,
  gwas_rds,
  phenotype,
  top_set,
  random_sample,
  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  | 
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?  | 
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