# multConvert: Multiple conversion In fuzzySim: Fuzzy Similarity in Species Distributions

## Description

This function can simultaneously convert multiple columns of a matrix or data frame.

## Usage

 `1` ```multConvert(data, conversion, cols = 1:ncol(data)) ```

## Arguments

 `data` A matrix or data frame containing columns that need to be converted `conversion` the conversion to apply, e.g. `as.factor` or a custom-made fucntion `cols` the columns of `data` to convert

## Details

Sometimes we need to change the data type (class, mode) of a variable in R. There are various possible conversions, performed by functions like as.integer, as.factor or as.character. If we need to perform the same conversion on a number of variables (columns) in a data frame, we can convert them all simultaneously using this function. By default it converts all the columns in the data frame, but you can specify just a few of them. multConvert can also be used to apply other kinds of transformations - for example, if you need to divide some of your columns by 100, just write a function to do this and then use multConvert to apply this function to any group of columns.

## Value

The input data with the specified columns converted as asked.

## Author(s)

A. Marcia Barbosa

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21``` ```data(rotif.env) str(rotif.env) # convert the first 4 columns to character: converted.rotif.env <- multConvert(data = rotif.env, conversion = as.character, cols = 1:4) str(converted.rotif.env) names(rotif.env) # divide some columns by 100: div100 <- function(x) x / 100 rotif.env.cent <- multConvert(data = rotif.env, conversion = div100, cols = c(6:10, 12:17)) head(rotif.env.cent) ```

fuzzySim documentation built on July 7, 2017, 3:01 p.m.