Joint Ordinal and continuous variables to be modeled together

Description

Data set used in some of OpenMx's examples.

Usage

data("jointdata")

Format

A data frame with 250 observations on the following variables.

z1

Continuous variable

z2

Ordinal variable with 2 levels (0, 1)

z3

Continuous variable

z4

Ordinal variable with 4 levels (0, 1, 2, 3)

z5

Ordinal variable with 3 levels (0, 1, 3)

Details

Data generated to test the joint ML algorithm thoroughly.

Source

Simulated.

References

The OpenMx User's guide can be found at http://openmx.psyc.virginia.edu/documentation.

Examples

data(jointdata)
par(mfrow=c(2, 3))
h <- lapply(jointdata, hist)
par(mfrow=c(1, 1))

plot(z2 ~ z1, jointdata)

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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You are welcome to redistribute it under certain conditions.
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Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.

> library(OpenMx)
Loading required package: digest
Loading required package: MASS
Loading required package: Matrix
Loading required package: Rcpp
Loading required package: parallel

Attaching package: 'OpenMx'

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

    %&%, expm

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/OpenMx/jointdata_data.Rd_%03d_medium.png", width=480, height=480)
> ### Name: jointdata
> ### Title: Joint Ordinal and continuous variables to be modeled together
> ### Aliases: jointdata
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(jointdata)
> par(mfrow=c(2, 3))
> h <- lapply(jointdata, hist)
> par(mfrow=c(1, 1))
> 
> plot(z2 ~ z1, jointdata)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>