A data frame of information on the implemented distributions.
Details
- dist
The distribution (chr).
- npars
The number of parameters (int).
- tails
Whether the distribution has both tails (flag).
- stable
Whether the distribution is numerically stable (flag).
- bcanz
Whether the distribution belongs to the set of distributions approved by BC, Canada, Australia and New Zealand for official guidelines (flag).
See also
Other dists:
ssd_dists(),
ssd_dists_all()
Examples
dist
#> function (x, method = "euclidean", diag = FALSE, upper = FALSE,
#> p = 2)
#> {
#> if (!is.na(pmatch(method, "euclidian")))
#> method <- "euclidean"
#> METHODS <- c("euclidean", "maximum", "manhattan", "canberra",
#> "binary", "minkowski")
#> method <- pmatch(method, METHODS)
#> if (is.na(method))
#> stop("invalid distance method")
#> if (method == -1)
#> stop("ambiguous distance method")
#> x <- as.matrix(x)
#> N <- nrow(x)
#> attrs <- if (method == 6L)
#> list(Size = N, Labels = dimnames(x)[[1L]], Diag = diag,
#> Upper = upper, method = METHODS[method], p = p, call = match.call(),
#> class = "dist")
#> else list(Size = N, Labels = dimnames(x)[[1L]], Diag = diag,
#> Upper = upper, method = METHODS[method], call = match.call(),
#> class = "dist")
#> .Call(C_Cdist, x, method, attrs, p)
#> }
#> <bytecode: 0x55ee42766258>
#> <environment: namespace:stats>