search for: effect_uniqu

...erything in one go, but controllable via 'num_blocks' or 'block_size'. A nice way to handle this would be for it to be left as a parameter that, by default, is set to do the entire data set at once. Tapply.default <- function (x, effect, func, ...) { na.x <- is.na(x) effect_unique <- unique(effect) n_effects <- length( effect_unique ) uniqval <- array(dim=n_effects) attr(uniqval, "dimnames")[[1]] <- as.character(effect_unique) # change this back so that it can handle larger datasets block_size <- n_effects num_blocks <- c...