df_contrasts3: Simulated data with response times as a function of a 4-level...

In vasishth/lingpsych: Data and Functions used in the Book "Linear Mixed Models in Linguistics and Psychology: A Comprehensive Introduction"

Description

The condition means are exactly 10, 20, 10, and 40. It could be assumed that the four factor levels 'F1' to 'F4' reflect levels of word frequency, including the levels 'low', 'medium-low', 'medium-high', and 'high' frequency words, and that the dependent variable (DV) reflects some response time.

Usage

df_contrasts3

Format

A data frame with 12 rows and 3 variables:

F

Between subject factor with factor four levels (F1, F2, F3, F4)

DV

Dependent variable

id

Subject index

Details

The data were simulated using the following R-code:

set.seed(123)

d3 <- mvrnorm(n=5, mu=c(10, 20, 10, 40), Sigma=diag(4)*10^2, empirical=TRUE)

df_contrasts3 <- d3 mutate(id=1:nrow(.), F=factor(F))

levels(df_contrasts3$F) <- c("F1", "F2", "F3", "F4")

References

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vasishth/lingpsych documentation built on Dec. 23, 2021, 2:11 p.m.