use rep.int & rep_len

Author: qddyy

R/ANOVA.R

@@ -47,7 +47,7 @@ ANOVA <- R6Class(
                     bar_.. <- mean(data)
                     bar_i. <- c(
                         lapply(
-                            splited, function(x) rep.int(mean(x), length(x))
+                            splited, function(x) rep_len(mean(x), length(x))
                         ), recursive = TRUE, use.names = FALSE
                     )
 

R/ContingencyTableTest.R

@@ -31,15 +31,15 @@ ContingencyTableTest <- R6Class(
 
             private$.data_permu <- lapply(
                 X = permutations(
-                    v = rep(seq_len(r), row_sum),
+                    v = rep.int(seq_len(r), row_sum),
                     nsample = private$.n_permu, layout = "list"
                 ),
                 FUN = function(data, col_index) {
                     vapply(
                         X = split(data, col_index), USE.NAMES = FALSE,
                         FUN = tabulate, nbins = r, FUN.VALUE = integer(r)
                     )
-                }, col_index = rep(seq_len(c), col_sum)
+                }, col_index = rep.int(seq_len(c), col_sum)
             )
         },
 

R/KSampleTest.R

@@ -25,7 +25,7 @@ KSampleTest <- R6Class(
 
             private$.raw_data <- setNames(
                 c(data, recursive = TRUE, use.names = FALSE),
-                rep(seq_along(data), times = vapply(data, length, integer(1)))
+                rep.int(seq_along(data), vapply(data, length, integer(1)))
             )
         },
 

R/KolmogorovSmirnov.R

@@ -30,7 +30,7 @@ KolmogorovSmirnov <- R6Class(
             m <- length(private$.data$x)
             n <- length(private$.data$y)
 
-            tmp <- rep.int(1 / m, m + n)
+            tmp <- rep_len(1 / m, m + n)
             private$.statistic_func <- function(x, y) {
                 max(abs(cumsum(`[<-`(tmp, order(c(x, y)) <= m, -1 / n))))
             }

R/TwoSamplePairedTest.R

@@ -49,7 +49,7 @@ TwoSamplePairedTest <- R6Class(
         .calculate_statistic = function() {
             if (private$.use_swapped) {
                 private$.statistic <- private$.statistic_func(
-                    swapped = rep.int(FALSE, nrow(private$.data))
+                    swapped = rep_len(FALSE, nrow(private$.data))
                 )
             } else {
                 super$.calculate_statistic()