Description Usage Arguments Details Value References See Also Examples

Range and sequence methods for probability distributions.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
## S3 method for class 'dpd'
min(sf, infv=FALSE, ..., freq=FALSE, n)
## S3 method for class 'dpd'
max(sf, infv=FALSE, ..., freq=FALSE, n)
## S3 method for class 'dpd'
range(sf, infv=FALSE, ..., freq=FALSE, n)
## S3 method for class 'cpd'
min(sf, infv=FALSE, ...)
## S3 method for class 'cpd'
max(sf, infv=FALSE, ...)
## S3 method for class 'cpd'
range(sf, infv=FALSE, ...)
## S3 method for class 'dpduv'
seq(sf, infv=FALSE, ..., midpoints=TRUE, freq=FALSE, n)
## S3 method for class 'cpduv'
seq(sf, infv=FALSE, ..., n=200)
``` |

`sf` |
A suitable function object. |

`infv` |
Logical, in function value. |

`midpoints` |
Logical, if true, return midpoints. |

`freq` |
Logical, if true, return frequencies. |

`n` |
An integer. |

`...` |
Ignored. |

By default, the min/max, range and sequence methods apply to range of the random variable.

Often this the range of the observations plus/minus half the bandwidth at each end.

Calling the sequence method on a discrete quantile function, with infv=TRUE:

If midpoints is true, then midpoints of the intervals are returned.

If midpoints is false, then breakpoints, including the outermost values, are returned.

Each interval is defined by one consecutive pair of breakpoints.

Where the breakpoints are (unique) values from the CDF, including zero (at the start) and one (at the end).

In general, these sequences are not equally-spaced.

Calling the sequence method on a continuous quantile function, with infv=TRUE:

Simply returns a returns an equally-spaced sequence between zero and one.

Integer types are returned for discrete probability distributions with infv=FALSE.

Otherwise, numeric types are returned.

In the univariate case:

The min and max methods return a single integer/numeric value.

The range methods return an length-two integer/numeric vector.

And in the multivariate case:

The min and max methods return an integer/numeric vector.

The range methods return a two column integer/numeric matrix.

And the seq methods return an integer/numeric vector.

This will be equally-spaced, if infv=FALSE.

Refer to the vignette for an overview, references and better examples.

Succinct Constructors

Discrete Kernel Smoothing, Continuous Kernel Smoothing

Categorical Distributions, Empirical-Like Distributions

1 2 3 4 5 6 | ```
prep.ph.data ()
dfh <- pmfuv.dks (traffic.bins, traffic.freq)
seq (dfh)
seq (dfh, TRUE)
``` |

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