Labor force survey data

Description

The survey dataset concerns 1002 males in the U.S labor force, described by Hoff (2007). The seven observed variables which have been measured on various scales are as follow: the income (income), degree (degree), the number of children (children), parents income (pincome), parents degree (pdegree), number of parents children (pchildren), and age (age).

Usage

 data( surveyData ) 

Format

The format is a matrix with 1002 rows (number of individuals) and 7 column (number of variables).

References

Hoff, P. (2007). Extending the rank likelihood for semiparametric copula estimation, The Annals of Applied Statistics, 1(1), 265-283.

Mohammadi, A. and E. Wit (2015). BDgraph: An R Package for Bayesian Structure Learning in Graphical Models, Arxiv preprint arXiv:1501.05108

Examples

data( surveyData )
dim( surveyData )
head( surveyData )
boxplot( surveyData )

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)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(BDgraph)
Loading required package: Matrix
Loading required package: igraph

Attaching package: 'igraph'

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

    decompose, spectrum

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

    union


Attaching package: 'BDgraph'

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

    compare

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BDgraph/surveyData.Rd_%03d_medium.png", width=480, height=480)
> ### Name: surveyData
> ### Title: Labor force survey data
> ### Aliases: surveyData
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data( surveyData )
> dim( surveyData )
[1] 1002    7
> head( surveyData )
     income degree children pincome pdegree pchildren age
[1,]     NA      1        3       3       1         5  59
[2,]     11      0        3      NA       0         7  59
[3,]      8      1        1      NA       0         9  25
[4,]     25      3        2      NA       0         5  55
[5,]    100      3        2       4       3         2  56
[6,]     40      4        0      NA       4         5  36
> boxplot( surveyData )
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>