perceptionData: Number of puzzles 42 students were able to solve

In welchADF: Welch-James Statistic for Robust Hypothesis Testing under Heterocedasticity and Non-Normality

Description

An artificial dataset created by Lix et al. which recreates data reported by a real study on perception and concentration, on which 42 students were given several puzzles to be solved. The students are divided into three balanced groups as they had previously been asked to imagine solving puzzles in the distant future, near future, or not to imagine anything at all (control group).

Usage

perceptionData

Format

A data frame with 42 rows and 2 variables:

Group

group of the student (what the student was asked to imagine)

y

number of puzzles the student was able to solve, out of 12

References

Forster, J., Liberman, N., & Friedman, R.S. (2004). Temporal construal effects on abstract and concrete thinking: consequences for insight and creative cognition. Journal of Personality and Social Psychology, 87, 2, 177-189.

Examples

omnibus_LSM <- welchADF.test(perceptionData, response = "y", between.s = "Group")
omnibus_trimmed <- update(omnibus_LSM, trimming = TRUE)
pairwise_LSM <- update(omnibus_LSM, effect = "Group", contrast = "all.pairwise")
pairwise_trimmed <- update(pairwise_LSM, trimming = TRUE, effect.size = TRUE)
summary(omnibus_LSM)
## Not run: 
  pairwise_trimmed_boot <- update(pairwise_trimmed, bootstrap = TRUE, seed = 12345, numsim_b = 600)
  summary(pairwise_trimmed_boot, digits = 6) # digits defaults to max(4, getOption("digits"))

## End(Not run)

welchADF documentation built on Sept. 8, 2019, 9:02 a.m.