Nothing
make.lapply.loop.resample <- function(one_subset, one_sample_pop, replicates) {
return(list("elements" = one_subset, replicate(replicates, sample(one_sample_pop, length(one_subset), replace = TRUE))))
}
make.lapply.loop.nosample <- function(one_subset, one_sample_pop, replicates) {
## Check if the subset is not the whole population
if(all(c(one_subset) %in% one_sample_pop)) {
## If it is, use make.lapply.loop.resample
return(make.lapply.loop.resample(one_subset, one_sample_pop, replicates))
} else {
return(list("elements" = one_subset, replicate(replicates, sample((one_sample_pop)[-one_subset], length(one_subset), replace = TRUE))))
}
}
one.randtest <- function(results, replicates, resample, alternative, get.p.value, match_call) {
observed <- c(results$elements)
simulated <- c(results[[2]])
## Getting the test results
test_results <- c("Mean Normal residuals" = mean((observed - mean(simulated)) / stats::sd(simulated)), "Random mean" = mean(simulated), "Random variance" = stats::var(simulated))
## Calculating the p-value
p_value <- get.p.value(simulated, observed, replicates)
## Making the results into a randtest object
res <- list()
## Adding the default arguments
res$rep <- replicates
res$observed <- observed
res$random <- simulated
res$call <- match_call
## Adding the data
res$sim <- simulated
res$obs <- observed
## Adding the plot options (modified from ade4::as.randtest)
r0 <- c(simulated, observed)
l0 <- max(simulated, observed) - min(simulated, observed)
w0 <- l0/(log(length(simulated), base = 2) + 1)
xlim0 <- range(r0) + c(-w0, w0)
h0 <- graphics::hist(simulated, plot = FALSE, nclass = 10)
res$plot <- list(hist = h0, xlim = xlim0)
## Adding the test.parameter arguments
res$alter <- alternative
res$pvalue <- p_value
res$expvar <- test_results
class(res) <- "randtest"
return(res)
}
## Get the comparisons to match the subset list
get.sample.pop <- function(one_rand, data) {
if(length(one_rand) == 0) {
return(1:nrow(data$matrix[[1]]))
} else {
return(sort(unique(unlist(lapply(data$subsets[unlist(one_rand)], function(x) return(x$elements))))))
}
}
get.sample.pop.name <- function(one_rand, data) {
if(length(one_rand) == 0) {
return("the whole space")
} else {
orthograph <- paste0("subset", ifelse(length(one_rand) == 1, " ", "s "))
if(length(one_rand) <= 2) {
return(paste0(orthograph, paste(one_rand, collapse = " and ")))
} else {
return(paste0(orthograph, paste(c(paste(one_rand[-length(one_rand)], collapse = ", "), one_rand[length(one_rand)]), collapse = " and ")))
}
}
}
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