coef.Simpson: Coef method for "Simpson"

In Simpsons: Detecting Simpson's Paradox

Description

Matrix of all regresssion results: Each individual cluster and the whole dataset (Alldata), their sample sizes, and regression estimates (beta, intercept and uncorrected p-value).

Usage

## S3 method for class 'Simpson'
coef(object, ...)

Arguments

object	Specify object of class 'Simpson'
...	Not used.

Value

Returns dataframe called 'Res' which contains clusters numbers, their sample size, and regression estimates (beta and intercept) for variables X and Y defined in the object.

Author(s)

Rogier Kievit <[e-mail]> & Sacha Epskamp <[e-mail]>

References

Kievit, R.A., Frankenhuis, W. E. , Waldorp, L. J. & Borsboom, D. (in preparation). Simpson's Paradox in Psychological Science: A Practical Guide. http://rogierkievit.com/simpsonsparadox.html

Examples

## Not run: 
	#Simulating 100 males 
	coffeem=rnorm(100,100,15)
	neuroticismm=(coffeem*.8)+rnorm(100,15,8)
	clusterid=rep(1,100)
	males=cbind(coffeem,neuroticismm,clusterid)

	#Simulating 100 females
	coffeef=rnorm(100,100,15)
	neuroticismf=160+((coffeef*-.8)+rnorm(100,15,8))
	clusterid=rep(2,100)
	females=cbind(coffeef,neuroticismf,clusterid)
		data=data.frame(rbind(males,females))
	colnames(data) <- c("Coffee","Neuroticism","gender")
example1=Simpsons(Coffee,Neuroticism,clusterid=gender, data=data) 
coef(example1)



## End(Not run)

Simpsons documentation built on May 1, 2019, 10:08 p.m.