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library(ldamatch) set.seed(257) default_method = "heuristic4" SIZE <- 15 condition <- as.factor(c(rep("control", 2 * SIZE), rep("treatment", SIZE))) covariate1 <- c(rnorm(2 * SIZE), rnorm(SIZE, 1, 2))
is.in <- match_groups(condition, covariate1, t_halt, method = "random") print(table(condition, is.in))
is.in <- match_groups(condition, covariate1, t_halt, method = default_method) print(table(condition, is.in))
covariate2 <- c(rnorm(2 * SIZE), rnorm(SIZE, 1, 2)) covariates <- cbind(covariate1, covariate2)
is.in <- match_groups(condition, covariates, t_halt, method = default_method) print(table(condition, is.in))
is.in <- match_groups(condition, covariates, t_halt, method = "random") print(table(condition, is.in))
my.props <- prop.table(c(control = 4, treatment = 3)) is.in <- match_groups(condition, covariates, U_halt, props = my.props) print(table(condition, is.in))
is.in <- match_groups(condition, covariates, wilks_halt) print(table(condition, is.in))
is.in <- match_groups(condition, covariates, wilks_halt, method = "random") print(table(condition, is.in))
is.in <- match_groups(condition, covariates, ad_halt, method = default_method, prefer_test = TRUE) print(table(condition, is.in))
t_ad_halt <- create_halting_test(c(t_halt, ad_halt)) threshes <- c(.2, .02) is.in <- match_groups(condition, covariates, t_ad_halt, threshes) print(table(condition, is.in))
estimate_exhaustive(min_preserved = 42, condition, cases_per_second = 100) foreach::registerDoSEQ() is.ins <- match_groups(condition, covariate1, t_halt, method = "exhaustive", all_results = TRUE) print(table(condition, is.ins[[1]])) print(length(is.ins)) # (Confirm exhaustive search by applying default search method to it.) is.in <- match_groups(condition[is.ins[[1]]], covariate1[is.ins[[1]]], t_halt, method = default_method) print(table(condition[is.ins[[1]]], is.in))
set.seed(257) SIZE <- 15 condition <- as.factor(c(rep("group1", SIZE), rep("group2", SIZE), rep("group3", SIZE))) covariate1 <- c(rnorm(SIZE, 0, 1), rnorm(SIZE, 0, 2), rnorm(SIZE, 1, 2)) covariate2 <- c(rnorm(SIZE, 0, 1), rnorm(SIZE, 0, 2), rnorm(SIZE, 1, 2)) covariates <- cbind(covariate1, covariate2)
is.in <- match_groups(condition, covariates, t_ad_halt, method = default_method) print(table(condition, is.in))
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