Block units into experimental blocks, with one unit per treatment condition, by creating a measure of multivariate distance between all possible pairs of units. Maximum, minimum, or an allowable range of differences between units on one variable can be set. Randomly assign units to treatment conditions. Diagnose potential interference problems between units assigned to different treatment conditions. Write outputs to .tex and .csv files.
Given raw data,
block creates experimental blocks,
assignment assigns units to treatment conditions,
detects possible interference problems, and
outCSV write block or assignment output objects to a set of .tex
and .csv files, respectively. In sequential experiments,
seqblock assigns units to treatment conditions.
Maintainer: Ryan T. Moore [email protected]
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data(x100) ## block out <- block(x100, groups = "g", n.tr = 2, id.vars = c("id"), block.vars = c("b1", "b2"), algorithm="optGreedy", distance = "mahalanobis", level.two = FALSE, valid.var = "b1", valid.range = c(0,500), verbose = TRUE) ## assign assg <- assignment(out, seed = 123) ## diagnose diag <- diagnose(object = assg, data = x100, id.vars = "id", suspect.var = "b2", suspect.range = c(0,50)) ## create .tex files of assigned blocks outTeX(assg) ## create .csv files of unassigned blocks outCSV(out) ## create block IDs createBlockIDs(out, x100, id.var = "id") ## block ID integers are unique, even with several groups axb <- assg2xBalance(assg, x100, id.var = "id", bal.vars = c("b1", "b2"))
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