Closed signebray closed 2 years ago
Hi @signebray ,
You can adjust the bootstraps used with the reps
argument:
your.tidy.data %>%
dabest(xcol, ycol,
idx = c("Control1", "Group1"),
paired = FALSE) %>%
mean_diff(reps = 10000)
The default value is 5000.
Thank you! I was looking at the dabest function options and did not see there but that makes sense.
I get this error when running dabest on a large data set (>7k samples):
Error in bca.ci(boot.out, conf, index[1L], L = L, t = t.o, t0 = t0.o, : estimated adjustment 'a' is NA
A google search suggests this is because the number of bootstrap iterations needs to be increased.