# type.convert

##### Convert Data to Appropriate Type

Convert a data object to logical, integer, numeric, complex, character or factor as appropriate.

- Keywords
- manip

##### Usage

```
type.convert(x, …)
# S3 method for default
type.convert(x, na.strings = "NA", as.is = FALSE, dec = ".",
numerals = c("allow.loss", "warn.loss", "no.loss"), …)
# S3 method for data.frame
type.convert(x, …)
# S3 method for list
type.convert(x, …)
```

##### Arguments

- x
a vector, matrix, array, data frame, or list.

- na.strings
a vector of strings which are to be interpreted as

`NA`

values. Blank fields are also considered to be missing values in logical, integer, numeric or complex vectors.- as.is
whether to convert factors to character vectors. The default is to convert character vectors to factors. See ‘Details’.

- dec
the character to be assumed for decimal points.

- numerals
string indicating how to convert numbers whose conversion to double precision would lose accuracy, typically when

`x`

has more digits than can be stored in a`double`

. Can be abbreviated. Possible values are`numerals = "allow.loss"`

, default:the conversion happens with some accuracy loss. This was the behavior of R versions 3.0.3 and earlier, and the default from 3.1.1 onwards.

`numerals = "warn.loss"`

:a

`warning`

about accuracy loss is signalled and the conversion happens as with`numerals = "allow.loss"`

.`numerals = "no.loss"`

:`x`

is*not*converted to a number, but to a`factor`

or`character`

, depending on`as.is`

. This was the behavior of R version 3.1.0.

- …
arguments to be passed to or from methods.

##### Details

This helper function is used by `read.table`

. When the
data object `x`

is a data frame or list, the function is called
recursively for each column or list element.

Given a vector, the function attempts to convert it to logical,
integer, numeric or complex, and failing that converts a character
vector to factor unless `as.is = TRUE`

. The first type that can
accept all the non-missing values is chosen.

Vectors which are entirely missing values are converted to logical,
since `NA`

is primarily logical.

Vectors containing just `F`

, `T`

, `FALSE`

, `TRUE`

and values from `na.strings`

are converted to logical. Vectors
containing optional whitespace followed by decimal constants
representable as R integers or values from `na.strings`

are
converted to integer. Other vectors containing optional whitespace
followed by other decimal or hexadecimal constants (see
NumericConstants), or `NaN`

, `Inf`

or `infinity`

(ignoring case) or values from `na.strings`

are converted to
numeric. Where converting inputs to numeric or complex would result
in loss of accuracy they can optionally be returned as strings (for
`as.is = TRUE`

) or factors.

Since this is a helper function, the caller should always pass an
appropriate value of `as.is`

.

##### Value

An object like `x`

but using another storage mode when
appropriate.

##### See Also

##### Examples

`library(utils)`

```
# NOT RUN {
## Numeric to integer
class(rivers)
x <- type.convert(rivers)
class(x)
## Convert many columns
auto <- type.convert(mtcars)
str(mtcars)
str(auto)
## Convert matrix
phones <- type.convert(WorldPhones)
storage.mode(WorldPhones)
storage.mode(phones)
## Factor or character
chr <- c("A", "B", "B", "A")
fac <- factor(c("A", "B", "B", "A"))
type.convert(chr) # -> factor
type.convert(fac) # -> factor
type.convert(chr, as.is = TRUE) # -> character
type.convert(fac, as.is = TRUE) # -> character
# }
```

*Documentation reproduced from package utils, version 3.6.0, License: Part of R 3.6.0*