R: Empirical Cumulative Distribution Function

eCDF {VGAM} | R Documentation

## Empirical Cumulative Distribution Function

### Description

Returns the desired quantiles of quantile regression object such as an extlogF1() or lms.bcn() VGLM object

### Usage

    eCDF.vglm(object, all = FALSE, ...)

### Arguments

`object` | an object such as a `vglm` object with family function `extlogF1` or `lms.bcn`.
`all` | Logical. Return all other information? If true, the empirical CDF is returned.
`...` | additional optional arguments. Currently unused.

### Details

This function was specifically written for a `vglm` object with family function `extlogF1` or `lms.bcn`. It returns the proportion of data lying below each of the fitted quantiles, and optionally the desired quantiles (arguments `tau` or `percentiles / 100` in the family function). The output is coerced to be comparable between family functions by calling the columns by the same names.

### Value

A vector with each value lying in (0, 1). If `all = TRUE` then a 2-column matrix with the second column being the `tau` values or equivalent.

### See Also

`extlogF1`, `lms.bcn`, `vglm`.

### Examples

    fit1 <- vglm(BMI ~ ns(age, 4), extlogF1, data = bmi.nz)  # trace = TRUE
    eCDF(fit1)
    eCDF(fit1, all = TRUE)

[Package VGAM version 1.1-3 Index]