Nothing
test_custom_coder <- function() {
set.seed(23525)
x_codes <- rnorm(5)
names(x_codes) <- letters[1:length(x_codes)]
n_rows <- 1000
d <- data.frame(x1 = sample(names(x_codes), n_rows, replace = TRUE),
x2 = rnorm(n_rows),
stringsAsFactors = FALSE)
d$yN <- x_codes[d$x1] + d$x2 - rnorm(nrow(d))
d$yC <- ifelse(d$yN>0, "Y", "N")
lmCoder <- function(v, vcol,
y,
weights) {
d <- data.frame(x = vcol,
y = y,
stringsAsFactors = FALSE)
m = stats::lm(y ~ x, data=d, weights=weights)
predict(m, newdata=d)
}
glmCoder <- function(v, vcol,
y,
weights) {
d <- data.frame(x = vcol,
y = y,
stringsAsFactors = FALSE)
m = stats::glm(y ~ x, data=d, weights=weights, family=binomial)
predict(m, newdata=d, type='link')
}
customCoders = list('c.logit.center' = glmCoder,
'c.lm.center' = lmCoder,
'n.lm.center' = lmCoder,
'n.lm.num.center' = lmCoder)
treatplanC = designTreatmentsC(d,
varlist = c("x1", "x2"),
outcomename = 'yC',
outcometarget= 'Y',
customCoders = customCoders,
verbose=FALSE)
expect_true("x1_logit" %in% treatplanC$scoreFrame$varName)
expect_true("x1_lm" %in% treatplanC$scoreFrame$varName)
treatplanN = designTreatmentsN(d,
varlist = c("x1", "x2"),
outcomename = 'yN',
customCoders = customCoders,
verbose=FALSE)
expect_true("x1_lm" %in% treatplanN$scoreFrame$varName)
expect_true("x2_lm" %in% treatplanN$scoreFrame$varName)
invisible(NULL)
}
test_custom_coder()
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