make.null: Drop or keep variables in a dataset

In dustinfife/fifer: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis

Description

Given a set of variable names (or integers), remove (or keep) these columns from a dataset

Usage

make.null(..., data, keep = FALSE)

Arguments

...	objects (either vectors of strings, vectors of numbers, or both)
data	the dataset you're trying to eliminate (or keep) variables from
keep	should the variables be kept (keep=T) or dropped (keep=F)?

Value

a dataset, containing the variables of interest only

Author(s)

Dustin Fife

See Also

subset.

get.cols, r

Examples

data = data.frame(matrix(rnorm(100), ncol=5))
names(data) = LETTERS[1:5]

#### extract only the classification
data(iris)
new.data = make.null(c("Sepal.Length"), 
       r("Sepal.Width", "Petal.Width", names(iris)), data=iris)

#### extract all but the classification
new.data2 = make.null(c("Sepal.Length"), 
   r("Sepal.Width", "Petal.Width", names(iris)), data=iris, keep=TRUE)

dustinfife/fifer documentation built on Oct. 31, 2020, 3:36 p.m.