mosaic (version 0.5-1)

qdata: The Data Distribution

Description

Density, distribution function, quantile function, and random generation from data.

pdata computes cumulative probabilities from data.

rdata randomly samples from data. It is a wrapper around sample that unifies syntax.

ddata computes a probability mass function from data.

Usage

qdata(p, vals, data = NULL, ...)
  pdata(q, vals, data = NULL, lower.tail = TRUE, ...)
  rdata(n, vals, data = NULL, replace = TRUE, ...)
  ddata(x, vals, data = NULL, log = FALSE, ...)

Arguments

p

a vector of probabilities

vals

a vector containing the data

data

a data frame in which to evaluate vals

...

additional arguments passed to quantile or sample

q

a vector of quantiles

lower.tail

a logical indicating whether to use the lower or upper tail probability

n

number of values to sample

replace

a logical indicating whether to sample with replacement

x

a vector of quantiles

log

a logical indicating whether the result should be log transformed

Value

• For qdata, a vector of quantiles

  For pdata, a vector of probabilities

  For rdata, a vector of values sampled from vals

  For ddata, a vector of probabilities (empirical densities)

Details

qdata is a wrapper around quantile that makes the syntax more like the syntax for quantiles from theoretical distributions

Examples

data(iris)
qdata(.5, iris$Sepal.Length)
qdata(.5, Sepal.Length, data=iris)
data(iris)
pdata(3:6, iris$Sepal.Length)
pdata(3:6, Sepal.Length, data=iris)
data(iris)
rdata(10,iris$Species)
rdata(10, Species, data=iris)
data(iris)
ddata('setosa', iris$Species)
ddata('setosa', Species, data=iris)