assign.grp: Random Group Assignment
In nbpMatching: Functions for Optimal Non-Bipartite Matching

Description Usage Arguments Details Value Author(s) See Also Examples

Randomly assign each element into treatment group A or B.

1	assign.grp(matches, seed = 68, ...)

`matches`	A data.frame or nonbimatch object. Contains information on how to match the covariate data set.
`seed`	Seed provided for random-number generation. Default value of 68.
`...`	Additional arguments, not used at the moment.

This function takes the matched pairs generated by nonbimatch and randomly assigns each element to a group.

original data.frame with treatment group column

Cole Beck

nonbimatch

df <- data.frame(id=LETTERS[1:25], val1=rnorm(25), val2=rnorm(25))
df.dist <- gendistance(df, idcol=1)
df.mdm <- distancematrix(df.dist)
df.match <- nonbimatch(df.mdm)
assign.grp(df.match)
assign.grp(df.match$matches)