Simpsons (version 0.1.0)

coef.Simpson: Coef method for "Simpson"

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

"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.

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)