fast.int: Creates moderated regression output and graphs (2D/3D)

In dstanley4/fastInteraction: Continuous variable interaction output and graphs (2D/3D)

Creates moderated regression output and graphs (2D/3D)

Description

Creates moderated regression output and graphs (2D/3D)

Usage

fast.int(
  data,
  criterion,
  predictor,
  moderator,
  center.predictors = FALSE,
  axis.labels = NULL,
  path = NULL,
  cam.position = NULL
)

Arguments

data	Name of data frame
criterion	Name of criterion variable
predictor	Name of predictor variable
moderator	Name of predictor variable
center.predictors	Boolean. Indicate if predictors hsould be centered. Default is FALSE.
axis.labels	Optional. Override column names as axis labels by sending in a list of new names.
path	Optional. If specified creates a file at the path. Use a filename as "myfile.doc" or "myfile.rtf" for regression tables
cam.position	A list with theta (degrees), phi (degrees), and distance values. Suggest default distance of 3.

Value

A list with seven objects. Specifically the objects: regression.lm.object (regression for overall analysis), apa.table (a data frame with the results table of the overall analysis), Overall.R2.F (a string with results for overall percxentage of variance), simple.slope.table (a table of the simple slopes), graph2D (a formatted ggplot graph), graph2Dunformatted (an unformatted ggplot graph), and graph3D (a plot.ly surface graph).

References

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression. Correlation Analysis for the Behavioral Sciences (3rd Edition). Lawerence Earlbaum Associates: London. ISBN-13: 978-0805822236

Examples

# Compare results to Table 7.4.1 from Cohen, Cohen, West, and Aiken (2003)

results <- fast.int(data = cohen_exercise,
                criterion = endurance,
                predictor = age,
                moderator = exercise,
                center.predictors = TRUE)

print(results)

dstanley4/fastInteraction documentation built on July 5, 2023, 6:40 a.m.