cor.comb.rep: Replicabilities and Correlations

In multicon: Multivariate Constructs

Description

A function for getting the replicabilities for cor.comb() correlations See cor.comb() and vector.splithalf() for more information.

Usage

cor.comb.rep(x1, x2, x3, x4, set1, set2, set3, set4, sims = 100, CI = 0.95)

Arguments

x1	vector paired with set1
x2	vector paired with set2
x3	vector paired with set3
x4	vector paired with set4
set1	matrix paired with x1
set2	matrix paired with x2
set3	matrix paired with x3
set4	matrix paired with x 4
sims	Number of simulations to be run in the randomization test (100 by default).
CI	Desired confidence interval limits. Default is .95.

Value

N	The sample size. *See 'note'
Rep	Estimated replicability
SE	Standard Error of the estimated replicability
UL	Upper limit of the CI
LL	Lower limit of the CI

Note

Be wary that this function bases the reported "N" on the N of x1.

Author(s)

Ryne A. Sherman

See Also

cor.comb vector.splithalf

Examples

data(RSPdata)
names(RSPdata)
	#Computing the relationship between self reported extraversion and 
	#Behavior measured by RBQ1 "Interviews others"over 4 situations 
data(rbqv3.items)
rbqv3.items # the RBQ content
	 # The correlations between extraversion and RBQ001 in Situation 1 
cor(RSPdata$sEXT,RSPdata$v2rbq001)
cor(RSPdata$sEXT,RSPdata$v3rbq001) # ... Situation 2 
cor(RSPdata$sEXT,RSPdata$v4rbq001) # ... Situation 3
cor(RSPdata$sEXT,RSPdata$v5rbq001) # ... Situation 4 
	#now to use cor.comb to combine meta-analytically
cor.comb(y1=RSPdata$sEXT,y2=RSPdata$sEXT,y3=RSPdata$sEXT,y4=RSPdata$sEXT,
         x1=RSPdata$v2rbq001,x2=RSPdata$v3rbq001,x3=RSPdata$v4rbq001,x4=RSPdata$v5rbq001)
#now to test the replicability of these results
data(v2rbq)
data(v3rbq)
data(v4rbq)
data(v5rbq)

# Note in practice sims = 100 or more might be preferred
cor.comb.rep(x1=RSPdata$sEXT,x2=RSPdata$sEXT,x3=RSPdata$sEXT,
	x4=RSPdata$sEXT,set1=v2rbq,set2=v3rbq,set3=v4rbq,set4=v5rbq, sims=5) 
 

multicon documentation built on May 2, 2019, 3:18 a.m.