merge_robust: Merge robust

In RajLabMSSM/echodata: echoverse module: Fine-mapping data access and formatting

Merge robust

Description

Ensure two data.table are merged properly. Necessary due to inconsistencies with how data.table are evaluated in different scopes.

Usage

merge_robust(x, y, by = NULL, dup_stop = TRUE, na_stop = TRUE, ...)

Arguments

x, y	data tables. y is coerced to a data.table if it isn't one already.
by	A vector of shared column names in x and y to merge on. This defaults to the shared key columns between the two tables. If y has no key columns, this defaults to the key of x.
dup_stop	Throw an error if duplicates of the by column are detected after merging.
na_stop	Throw an error if all of the data from y has been converted to NAs (unless they were all NAs before merging).
...	Additional arguments passed to merge.data.table.

Source

data.table docs

Examples

dat <- echodata::BST1
x <- dat[,c("SNP","CHR","POS")]
y <- dat[,c("SNP","Support","leadSNP")]
z <- merge_robust(x=x, y=y, by="SNP")

RajLabMSSM/echodata documentation built on Nov. 21, 2023, 8 a.m.