Rename changes the names of a named object.

Rename(x, ..., gsub = FALSE, fixed = TRUE, warn = TRUE)

Arguments

x

Any named object

...

A sequence of named arguments, all of type character

gsub

a logical value; if TRUE, gsub is used to change the row and column labels of the resulting table. That is, instead of substituting whole names, substrings of the names of the object can changed.

fixed

a logical value, passed to gsub. If TRUE, substitutions are by fixed strings and not by regular expressions.

warn

a logical value; should a warning be issued if those names to change are not found?

Details

This function changes the names of x according to the remaining arguments. If gsub is FALSE, argument tags are the old names, the values are the new names. If gsub is TRUE, arguments are substrings of the names that are substituted by the argument values.

Value

The object x with new names defined by the ... arguments.

Note

This function was previously published in the package memisc as rename and has been integrated here without logical changes.

Author

Martin Elff <melff@essex.ac.uk>

See also

SetNames, Recode for recoding of a factor (renaming or combining levels)

Examples

x <- c(a=1, b=2)
Rename(x, a="A", b="B")
#> A B 
#> 1 2 

str(Rename( iris,
            Sepal.Length="Sepal_Length",
            Sepal.Width ="Sepal_Width",
            Petal.Length="Petal_Length",
            Petal.Width ="Petal_Width"
            ))
#> 'data.frame':	150 obs. of  5 variables:
#>  $ Sepal_Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
#>  $ Sepal_Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
#>  $ Petal_Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
#>  $ Petal_Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
#>  $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...

str(Rename(iris, .="_", gsub=TRUE))
#> 'data.frame':	150 obs. of  5 variables:
#>  $ Sepal_Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
#>  $ Sepal_Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
#>  $ Petal_Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
#>  $ Petal_Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
#>  $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...