blockTools-package | R Documentation |
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.
Package: | blockTools |
Type: | Package |
Version: | 0.6.4 |
Date: | 2023-02-03 |
License: | GPL (>=2) |
Given raw data, block
creates experimental blocks,
assignment
assigns units to treatment conditions, diagnose
detects possible interference problems, and outTeX
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.
Ryan T. Moore rtm@american.edu and Keith Schnakenberg keith.schnakenberg@gmail.com
Maintainer: Ryan T. Moore rtm@american.edu
https://www.ryantmoore.org/html/software.blockTools.html
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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