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Merge robust

Source: R/merge_robust.R
merge_robust.Rd

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, ...)

Source

data.table docs

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.

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")