R Under development (unstable) (2023-10-04 r85267 ucrt) -- "Unsuffered Consequences"
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> library(matrixTests)
> source("utils/capture.r")
> 
> #--- removing na groups --------------------------------------------------------
> 
> wrn <- '2 columns dropped due to missing group information'
> 
> # 2 NAs
> x <- 1:10
> g <- c(1,1,1,1,NA,NA,2,2,2,2)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all.equal(res$value$obs.tot, 8))
> stopifnot(all.equal(res$value$obs.groups, 2))
> 
> 
> #--- less than 2 groups --------------------------------------------------------
> 
> wrn <- 'row_brownforsythe: 1 of the rows had less than 2 groups with enough observations.\nFirst occurrence at row 1'
> nacolumns <- c("df.between", "df.within", "statistic", "pvalue")
> 
> # all values in one group
> x <- 1:10
> g <- rep("a", 10)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 10))
> stopifnot(all.equal(res$value$obs.groups, 1))
> 
> # two groups but one has only NAs
> x <- c(1:3, NA, NA, NA)
> g <- rep(c("a","b"), each=3)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 3))
> stopifnot(all.equal(res$value$obs.groups, 1))
> 
> 
> #--- no groups with 3 observations ---------------------------------------------
> 
> wrn <- 'row_brownforsythe: 1 of the rows had no groups with at least 3 observations.\nFirst occurrence at row 1'
> nacolumns <- c("df.between", "df.within", "statistic", "pvalue")
> 
> # 10 groups all with a single value
> x <- 1:10
> g <- letters[1:10]
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 10))
> stopifnot(all.equal(res$value$obs.groups, 10))
> 
> # 5 groups 2 observations each
> x <- 1:10
> g <- rep(letters[1:5], each=2)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 10))
> stopifnot(all.equal(res$value$obs.groups, 5))
> 
> # two groups one with 3 observations but one of them is NA
> x <- c(1:3, NA)
> g <- c("a", "b", "b","b")
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 3))
> stopifnot(all.equal(res$value$obs.groups, 2))
> 
> 
> #--- close to constant variance ------------------------------------------------
> 
> wrn <- 'row_brownforsythe: 1 of the rows had essentially constant absolute residuals from the median: results might be unreliable.\nFirst occurrence at row 1'
> 
> # two groups - close to constant values within group
> x <- c(1.00000000000004, 1.00000000000002, 1.00000000000003, 1.00000000000000,
+        1.00000000000003, 1.00000000000002, 1.00000000000003, 1.00000000000000
+        )
> g <- rep(c("a","b"), each=4)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all.equal(res$value$obs.tot, 8))
> stopifnot(all.equal(res$value$obs.groups, 2))
> 
> 
> #--- constant variance after residuals -----------------------------------------
> 
> wrn <- 'row_brownforsythe: 1 of the rows had zero within group variance of absolute residuals from the median.\nFirst occurrence at row 1'
> nacolumns <- c("df.between", "df.within", "statistic", "pvalue")
> 
> # two groups - all zero values
> x <- rep(0,6)
> g <- rep(letters[1:2], each=3)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 6))
> stopifnot(all.equal(res$value$obs.groups, 2))
> 
> # two groups - all constant values
> x <- rep(1,6)
> g <- rep(letters[1:2], each=3)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 6))
> stopifnot(all.equal(res$value$obs.groups, 2))
> 
> # three groups - constant values plus NAs
> x <- c(1,1,1,NA,2,2,2,NA,3,3,3,NA)
> g <- rep(1:3, each=4)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 9))
> stopifnot(all.equal(res$value$obs.groups, 3))
> 
> # values become constant after residuals
> x <- c(1,1,2,2,3,3,4,4,5,5,6,6)
> g <- rep(letters[1:3], each=4)
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 12))
> stopifnot(all.equal(res$value$obs.groups, 3))
> 
> # values become constant after residuals with different groups sizes
> x <- c(1,1,1,2,2,2,3,3,4,4,5,6,7)
> g <- rep(letters[1:4], c(6,4,2,1))
> res <- capture(row_brownforsythe(x, g))
> stopifnot(all.equal(res$warning, wrn))
> stopifnot(all(is.na(res$value[,nacolumns])))
> stopifnot(all.equal(res$value$obs.tot, 13))
> stopifnot(all.equal(res$value$obs.groups, 4))
> 
> 
> proc.time()
   user  system elapsed 
   0.17    0.03    0.18