moderation.slopes: calculates slopes and intercepts for a moderation and plots a...
In lillion/emittr: Hilfsfunktionen fuer die psychologische Forschung

Description Usage Arguments Value See Also Examples

calculates the slopes and intercepts for a simple moderation analysis from a lm

1	moderation.slopes(mod, zsd = 1, mod_name = "Moderator", ...)

`mod`	the result of a moderation done like this: lm(y~x*z), so that you have one predictor x and one moderator z
`zsd`	the standard deviation of z to calculate the slopes
`...`	Parameter for plot (xlab, ylab, main etc.)

moderation

lm

data(crime_data)
attach(crime_data)
#crime <- scale(crime)
poverty <- scale(poverty) #poverty-mean(poverty, na.rm=T)
pcths <- scale(pcths) #pcths-mean(pcths, na.rm=T)
zz <- xm*zm
mod <- lm(crime~poverty*pcths)
summary(mod)
moderation.slopes(mod, ylab="crime rate", mod_name = "Highschool pct", xlab="poverty")
detach(crime_data)