Density Function
d is a generic function that evaluates the density function of a distribution object at given values.
## S3 method for class 'compdist' d(O, x, log = FALSE) ## S3 method for class 'trans_compdist' d(O, x, log = FALSE) ## S3 method for class 'mixdist' d(O, x, log = FALSE) ## S3 method for class 'trans_mixdist' d(O, x, log = FALSE) d(O, x, log = FALSE) ## S3 method for class 'standist' d(O, x, log = FALSE) ## S3 method for class 'trans_contdist' d(O, x, log = FALSE) ## S3 method for class 'trans_discrdist' d(O, x, log = FALSE)
O |
distribution object. |
x |
vector of quantiles. |
log |
logical; if TRUE, probabilities p are given as log(p), default: FALSE. |
Methods of d function evaluates any offered
distribution from the package mistr. The function makes use of the d[sufix] functions
as dnorm or dbeta and thus, if a new distribution is added,
these functions must be reachable through the search path.
Vector of computed results.
N <- normdist(1, 3) d(N, c(NA, 1, 3, 5)) C <- cauchydist() M <- mixdist(N, C, weights = c(0.5, 0.5)) d(M, c(NA, 1, 3, 5)) CC <- compdist(N, C, weights = c(0.5, 0.5), breakpoints = 1) CCC <- 2*C+5 d(CCC, c(NA, 1, 3, 5))
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