mitun: Numerical moderation graph and summary

In bgupsych/bgupsych: Useful commands for BGU Psychology students

Numerical moderation graph and summary

Description

This function really does it all. It will generate both a ggplot graph, slopes&intercepts and a summary!

Usage

mitun(DV, x.pred, x.mod, sdH = 1, sdM = 0, sdL = -1)

Arguments

DV	The dependent variable.
x.pred	The predictor variable.
x.mod	The moderator variable.
sdH	Leave untouched, unless you wish to generate a different SD moderation. Positive sd mod.
sdM	Leave untouched, unless you wish to generate a different SD moderation. Mean of moderator.
sdL	Leave untouched, unless you wish to generate a different SD moderation.Negative sd mod.
sdH/M/L	refer to SD level of the moderator. feel free to explore, but default is best for analsys.

Value

ggplot graph.

lm model summary.

intercepts and slopes for each level of moderator.

Note

The moderator MUST be numeric. This function works for a simple moderation model.

See Also

jtools or interactions for more options.

https://cran.r-project.org/web/packages/jtools/jtools.pdf

https://cran.r-project.org/web/packages/interactions/interactions.pdf

Examples

mitun(depression,suicide_tendencies,optimism)

# Depression is predicted by suicide tendencies, while optimism levels moderate the relationship between them.
## Not run: mitun(..., sdH=2,sdL=-2)
# In this example, the graph will generate moderation of SD=+2, mean(sdM=0), and SD=-2 in the moderator variable.

bgupsych/bgupsych documentation built on Nov. 1, 2023, 9:41 a.m.