This function generates bootstrap samples from the input metadata. It samples with replacement within each group defined in the metadata, and optionally adjusts for paired groups.
Value
A matrix of dimension B
x n
, where n
is the
number of samples. Each row corresponds to a bootstrap sample, and each
entry is a resampled row name from the metadata.
Examples
# Example usage:
set.seed(123)
meta.info <- data.frame(
group = rep(c("A", "B"), each = 5),
row.names = paste0("Sample", 1:10)
)
bootstrapS(
B = 10, meta.info = meta.info, group.name = "group"
)
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] "Sample3" "Sample3" "Sample2" "Sample2" "Sample3" "Sample10" "Sample9"
#> [2,] "Sample5" "Sample3" "Sample3" "Sample1" "Sample4" "Sample6" "Sample6"
#> [3,] "Sample2" "Sample1" "Sample3" "Sample4" "Sample1" "Sample8" "Sample10"
#> [4,] "Sample1" "Sample1" "Sample2" "Sample3" "Sample4" "Sample10" "Sample10"
#> [5,] "Sample5" "Sample5" "Sample4" "Sample5" "Sample2" "Sample6" "Sample6"
#> [6,] "Sample1" "Sample2" "Sample4" "Sample4" "Sample3" "Sample6" "Sample7"
#> [7,] "Sample5" "Sample5" "Sample3" "Sample1" "Sample4" "Sample6" "Sample6"
#> [8,] "Sample3" "Sample5" "Sample3" "Sample2" "Sample5" "Sample10" "Sample8"
#> [9,] "Sample4" "Sample2" "Sample2" "Sample4" "Sample4" "Sample6" "Sample8"
#> [10,] "Sample5" "Sample2" "Sample3" "Sample2" "Sample5" "Sample10" "Sample8"
#> [,8] [,9] [,10]
#> [1,] "Sample6" "Sample7" "Sample8"
#> [2,] "Sample10" "Sample8" "Sample7"
#> [3,] "Sample9" "Sample7" "Sample10"
#> [4,] "Sample8" "Sample6" "Sample7"
#> [5,] "Sample8" "Sample6" "Sample10"
#> [6,] "Sample6" "Sample7" "Sample9"
#> [7,] "Sample8" "Sample9" "Sample6"
#> [8,] "Sample7" "Sample7" "Sample7"
#> [9,] "Sample8" "Sample6" "Sample8"
#> [10,] "Sample9" "Sample9" "Sample9"