The Data Distribution
Density, distribution function, quantile function, and random generation from data.
qdata(formula, p = seq(0, 1, 0.25), data = NULL, ...) cdata(formula, p = 0.95, data = NULL, ...) pdata(formula, q, data = NULL, ...) rdata(formula, n, data = NULL, ...) ddata(formula, q, data = NULL, ...)
formula |
a formula or a vector |
p |
a vector of probabilities |
data |
a data frame in which to evaluate |
... |
additional arguments passed to |
q |
a vector of quantiles |
n |
number of values to sample |
For qdata, a vector of quantiles
for cdata, a data frame giving
upper and lower limits and the central proportion requested
For pdata, a vector of probabilities
For rdata, a vector of sampled values.
For ddata, a vector of probabilities (empirical densities)
data(penguins, package = "palmerpenguins") qdata(flipper_length_mm ~ species, 0.5, data = penguins) qdata( ~ flipper_length_mm, p = 0.5, groups = species, data = penguins) qdata(penguins$flipper_length_mm, p = 0.5) qdata( ~ flipper_length_mm, p = 0.5, data = penguins) qdata( ~ flipper_length_mm, p = 0.5, groups = species, data = penguins) data(penguins, package = 'palmerpenguins') cdata(penguins$flipper_length_mm, 0.5) cdata( ~ flipper_length_mm, 0.5, data = penguins) cdata( ~ flipper_length_mm, 0.5, data = penguins) cdata( ~ flipper_length_mm | species, data = penguins, p = .5) data(penguins, package = 'palmerpenguins') pdata(penguins$flipper_length_mm, 3:6) pdata( ~ flipper_length_mm, 3:6, data = penguins) data(penguins, package = 'palmerpenguins') rdata(penguins$species, 10) rdata( ~ species, n = 10, data = penguins) rdata(flipper_length_mm ~ species, n = 5, data = penguins) data(penguins, package = 'palmerpenguins') ddata(penguins$species, 'setosa') ddata( ~ species, 'setosa', data = penguins)
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