R: Discrete Vector tools

discrete {Hmisc} | R Documentation

## Discrete Vector tools

### Description

`discrete` creates a discrete vector which is distinct from a continuous vector, or a factor/ordered vector. The other function are tools for manipulating descrete vectors.

### Usage

    as.discrete(x, ...)
    ## Default S3 method:
    as.discrete(x, ...)
    discrete(x, levels = sort(unique.default(x), na.last = TRUE), exclude = NA)
    ## S3 replacement method for class 'discrete'
    x[...] <- value
    ## S3 method for class 'discrete'
    x[..., drop = FALSE]
    ## S3 method for class 'discrete'
    x[[i]]
    is.discrete(x)
    ## S3 replacement method for class 'discrete'
    is.na(x) <- value
    ## S3 replacement method for class 'discrete'
    length(x) <- value

### Arguments

`x` | a vector
`drop` | Should unused levels be dropped.
`exclude` | logical: should `NA` be excluded.
`i` | indexing vector
`levels` | charater: list of individual level values
`value` | index of elements to set to `NA`
`...` | arguments to be passed to other functions

### Details

`as.discrete` converts a vector into a discrete vector.

`discrete` creates a discrete vector from provided values.

`is.discrete` tests to see if the vector is a discrete vector.

### Value

`as.discrete`, `discrete` returns a vector of `discrete` type.

`is.discrete` returan logical `TRUE` if the vector is of class discrete other wise it returns `FALSE`.

### Author(s)

Charles Dupont

### See Also

`[[`, `[`, `factor`

### Examples

    a <- discrete(1:25)
    a

    is.discrete(a)

    b <- as.discrete(2:4)
    b

[Package Hmisc version 4.7-0 Index]