df_contrasts2: Simulated data with response times from a lexical decision...

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

Description

The simulated data contains data from word classes "nouns", "verbs", and "adjectives". Word class is manipulated between subjects here (usually it is a within-subject manipulation). The condition means are exactly 500, 450, and 400 milliseconds for nouns, verbs, and adjectives words.

Usage

df_contrasts2

Format

A data frame with 12 rows and 3 variables:

F

Between subject factor word class with factor levels "nouns", "verbs", and "adjectives"

DV

Dependent variable, response time in milliseconds

id

Subject index

Details

The data were simulated using the following R-code:

set.seed(123)

d2 <- mvrnorm(n=4, mu=c(500, 450, 400), Sigma=diag(3)*20^2, empirical=TRUE)

df_contrasts2 <- d2 gather(key="F", value="DV") mutate(id=1:nrow(.), F=factor(F))

levels(df_contrasts2$F) <- c("nouns", "verbs", "adjectives")

df_contrasts2$DV <- round(df_contrasts2$DV)

References

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