dummify: Separate a factor into separate dummy variables for each...

In weights: Weighting and Weighted Statistics

Description

dummify creates a matrix with columns signifying separate dummy variables for each level of a factor. The column names are the former levels of the factor.

Usage

dummify(x, show.na=FALSE, keep.na=FALSE)

Arguments

x	x is a factor the researcher desires to split into separate dummy variables.
show.na	If show.na is 'TRUE', output will include a column idicating the cases that are missing.
keep.na	If keep.na is 'TRUE', output vectors will have "NA"s for cases that were originally missing.

Value

dummify returns a matrix with a number of rows equal to the length of x and a number of columns equal to the number of levels of x.

Author(s)

Josh Pasek, Assistant Professor of Communication Studies at the University of Michigan (www.joshpasek.com).

Examples

data("anes04")

anes04$agecats <- cut(anes04$age, c(17, 25,35,45,55,65, 99))
levels(anes04$agecats) <- c("age1824", "age2534", "age3544",
          "age4554", "age5564", "age6599")

agedums <- dummify(anes04$agecats)
table(anes04$agecats)
summary(agedums)

Example output

Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, units

Loading required package: gdata
gdata: read.xls support for 'XLS' (Excel 97-2004) files ENABLED.

gdata: read.xls support for 'XLSX' (Excel 2007+) files ENABLED.

Attaching package: 'gdata'

The following object is masked from 'package:stats':

    nobs

The following object is masked from 'package:utils':

    object.size

The following object is masked from 'package:base':

    startsWith

Loading required package: mice

Attaching package: 'mice'

The following objects are masked from 'package:base':

    cbind, rbind


age1824 age2534 age3544 age4554 age5564 age6599 
    150     205     217     237     216     187 
    age1824          age2534          age3544         age4554      
 Min.   :0.0000   Min.   :0.0000   Min.   :0.000   Min.   :0.0000  
 1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.000   1st Qu.:0.0000  
 Median :0.0000   Median :0.0000   Median :0.000   Median :0.0000  
 Mean   :0.1238   Mean   :0.1691   Mean   :0.179   Mean   :0.1955  
 3rd Qu.:0.0000   3rd Qu.:0.0000   3rd Qu.:0.000   3rd Qu.:0.0000  
 Max.   :1.0000   Max.   :1.0000   Max.   :1.000   Max.   :1.0000  
    age5564          age6599      
 Min.   :0.0000   Min.   :0.0000  
 1st Qu.:0.0000   1st Qu.:0.0000  
 Median :0.0000   Median :0.0000  
 Mean   :0.1782   Mean   :0.1543  
 3rd Qu.:0.0000   3rd Qu.:0.0000  
 Max.   :1.0000   Max.   :1.0000  

weights documentation built on June 11, 2021, 1:06 a.m.