colIds.RdSummarizes the columns or rows of a rectangular object.
colIds(x, do.NULL=TRUE, prefix="col")
colMaxs(x, na.rm = FALSE, dims = 1, n = NULL)
colMedians(x, na.rm=FALSE)
colMins(x, na.rm = FALSE, dims = 1, n = NULL)
colRanges(x, na.rm = FALSE, dims = 1, n = NULL)
colVars(x, na.rm=FALSE, dims = 1, unbiased = TRUE,
SumSquares = FALSE, weights = NULL, freq = NULL, n = NULL)
rowIds(x, do.NULL=TRUE, prefix="row")
rowMaxs(x, na.rm = FALSE, dims = 1, n = NULL)
rowMins(x, na.rm = FALSE, dims = 1, n = NULL)
rowRanges(x, na.rm = FALSE, dims = 1, n = NULL)rectangular input object such as a matrix or data.frame.
if x has dimension higher than 2,
dims determines what dimensions are summarized.
logical for rowIds or colIds.
number of rows; treat x as a matrix with n rows.
logical, NA values are removed if TRUE.
character string preface for column IDs returned by rowIds or colIds.
logical, unbiased variance estimates returned if TRUE.
logical, sums of squares are returned if TRUE.
unsupported, here for backwards compatibility.
corresponding summary by row or by column.
See 'aggregate' package for alternative definitions of colStdevs, colVars, rowStdevs and rowVars functions.
## create a matrix, add dimensions, and obtain
## various summaries
x <- matrix(sin(1:20), nrow=4)
dimnames(x) <- list(c("a","b","c","d"), paste("col", 1:5))
colIds(x)
#> [1] "col 1" "col 2" "col 3" "col 4" "col 5"
colMaxs(x)
#> col 1 col 2 col 3 col 4 col 5
#> 0.9092974 0.9893582 0.4121185 0.9906074 0.9129453
colMedians(x)
#> col 1 col 2 col 3 col 4 col 5
#> 0.4912955 0.1887856 -0.5402970 0.5352274 -0.3005550
colMins(x)
#> col 1 col 2 col 3 col 4 col 5
#> -0.7568025 -0.9589243 -0.9999902 -0.2879033 -0.9613975
colRanges(x)
#> col 1 col 2 col 3 col 4 col 5
#> [1,] -0.7568025 -0.9589243 -0.9999902 -0.2879033 -0.9613975
#> [2,] 0.9092974 0.9893582 0.4121185 0.9906074 0.9129453
rowIds(x)
#> [1] "a" "b" "c" "d"
rowMaxs(x)
#> a b c d
#> 0.8414710 0.9906074 0.6569866 0.9893582
rowMins(x)
#> a b c d
#> -0.9613975 -0.7509872 -0.9999902 -0.7568025
rowRanges(x)
#> a b c d
#> [1,] -0.9613975 -0.7509872 -0.9999902 -0.7568025
#> [2,] 0.8414710 0.9906074 0.6569866 0.9893582