weight_x: Calculate weight matrix from matrix of covariates

In SeqAlloc: Sequential Allocation for Prospective Experiments

Description

Calculate a vector of weights relating vector xrow with the rows of xmat, according to the weights in vector carwt. For each row in xmat, the positions of agreement with xrow are found. The weight for that row of xmat is then the sum of the elements of carwt corresponding to the matches.

Usage

weight_x(xrow, xmat, carwt)

Arguments

xrow	vector used for matching
xmat	matrix of covariates
carwt	vector of weight for each match

Value

Vector of weights relating vector xrow to the rows of xmat

Author(s)

Xiaoshu Zhu [e-mail] and Sharon Lohr

References

Lohr, S. and X. Zhu (2015). Randomized Sequential Individual Assignment in Social Experiments: Evaluating the Design Options Prospectively. Sociological Methods and Research. [Advance online publication: December 27, 2015] doi: 10.1177/0049124115621332.

Examples

xrow <- c(1,0,1,1)
xmat <- matrix(rbinom(60,1,.4),ncol=4)
carwt <- c(.6,.4,.2,.1)

weight_x(xrow, xmat, carwt)

SeqAlloc documentation built on May 2, 2019, 3:14 p.m.