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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