US Military Demographics

Description

This dataset contains demographic information on every member of the US armed forces including gender, race, and rank.

Usage

data(military)

Format

A data frame with 1414593 observations on the following 6 variables.

grade

The status of the service member as enlisted officer or warrant officer.

branch

The branch of the armed forces: air force, army, marine corps, navy.

gender

Whether the service member is female or male.

race

The race identified by the service member: ami/aln (american indian/alaskan native), asian, black, multi (multi-ethinic), p/i (pacific islander), unk (unknown), or white.

hisp

Whether a service member identifies with being hispanic (TRUE) or not (FALSE).

rank

The numeric rank of the service member (higher number indicates higher rank).

Details

The branches covered by this data set include the Army, Navy, Air Force, and Marine Corps. Demographic information on the Coast Guard is contained in the original data set but has not been included here.

Source

Data provided by the Department of Defense and made available at data.gov. Retrieval date: Feb 20, 2012.

References

OpenIntro, openintro.org

Examples

data(military)
cond1 <- military$grade == "officer"
cond2 <- military$branch == "army"
cond3 <- military$gender == "female"
tabF  <- table(military$rank[cond1 & cond2 & cond3])
barplot((tabF/sum(tabF)), main = "female army officer ranks")
tabM  <- table(military$rank[cond1 & cond2 & !cond3])
barplot(tabM/sum(tabM), main = "male army officer ranks")

(tabFM <- table(military$branch, military$gender) /
          matrix(rep(table(military$branch), 2), ncol = 2))
barplot(tabFM[,1], main = "proportion female")

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(OIdata)
Loading required package: RCurl
Loading required package: bitops
Loading required package: maps

 # maps v3.1: updated 'world': all lakes moved to separate new #
 # 'lakes' database. Type '?world' or 'news(package="maps")'.  #


> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/OIdata/military.Rd_%03d_medium.png", width=480, height=480)
> ### Name: military
> ### Title: US Military Demographics
> ### Aliases: military
> ### Keywords: datasets military demographics
> 
> ### ** Examples
> 
> data(military)
> cond1 <- military$grade == "officer"
> cond2 <- military$branch == "army"
> cond3 <- military$gender == "female"
> tabF  <- table(military$rank[cond1 & cond2 & cond3])
> barplot((tabF/sum(tabF)), main = "female army officer ranks")
> tabM  <- table(military$rank[cond1 & cond2 & !cond3])
> barplot(tabM/sum(tabM), main = "male army officer ranks")
> 
> (tabFM <- table(military$branch, military$gender) /
+           matrix(rep(table(military$branch), 2), ncol = 2))
              
                   female       male
  air force    0.19367334 0.80632666
  army         0.13464988 0.86535012
  marine corps 0.06503552 0.93496448
  navy         0.15564060 0.84435940
> barplot(tabFM[,1], main = "proportion female")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>