F-statistics not working with mincRandomize

[rwickens]

Hello,

I'm trying to use mincRandomize on my mincLm object, which contains a column called F-statistic. In the documentation, I see that the default is t-stats...However, I'm attempting the following:

result = mincRandomize(myLm_masked, R = 500, alternative = "greater", columns = "F-statistic")

Am I calling it correctly? It's giving me the following error:

---

Error in apply(post_procd, 2, max): dim(X) must have a positive length
Traceback:

1. mincRandomize(myLm_masked, R = 500, alternative = "greater",
   . columns = "F-statistic")
2. mincRandomize.mincLm(myLm_masked, R = 500, alternative = "greater",
   . columns = "F-statistic")
3. mincRandomize_core(lmod, R = R, replace = replace, parallel = parallel,
   . columns = columns, alternative = alternative, conf_file = conf_file,
   . resources = resources)
4. boot_model(R)
5. Reduce(function(max_val_matrix, i) {
   . shuf_data <- lmod_data
   . shuf_data[, pred_cols] <- lmod_data[sample(seq_len(nrow(lmod_data)),
   . replace = replace), pred_cols]
   . new_mod <- update(lmod, data = shuf_data)
   . new_mod[!is.finite(new_mod)] <- 0
   . post_procd <- post_proc(new_mod[, columns], ...)
   . if (alternative == "two.sided") {
   . post_procd <- abs(post_procd)
   . }
   . biggest_stats <- apply(post_procd, 2, max)
   . rbind(max_val_matrix, biggest_stats) %>% colnames<-(colnames(lmod)[columns]) %>%
   . rownames<-(NULL)
   . }, seq_len(n), NULL)
6. f(init, x[[i]])
7. apply(post_procd, 2, max)
8. stop("dim(X) must have a positive length")

---

Using RMINC on a Mac (ARM64) using majestic-minc by josh unrau