df_contrasts7: Simulated data with a binomial response from a 2 x 2 between...

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

Description

The dependent variable could be successful task performance. The condition means are exactly 0.2, 0.5, 0.2, and 0.8.

Usage

df_contrasts7

Format

A data frame with 12 rows and 3 variables:

A

Between subject factor with two levels (A1, A2)

B

Between subject factor with two levels (B1, B2)

pDV

Dependent variable: successful task performance (0 = no success versus 1 = success)

id

Subject index

Details

The data were simulated using the following R-code:

set.seed(123)

N <- 50

d7 <- data.frame(A =factor(rep(c("A1","A1","A2","A2"), each=N)),

B =factor(rep(c("B1","B2","B1","B2"), each=N)),

pDV= rep(c( 0.2, 0.5, 0.2, 0.8), each=N))

tmp <- c(seq(0,1,length=N)[sample(N)], seq(0,1,length=N)[sample(N)],

seq(0,1,length=N)[sample(N)], seq(0,1,length=N)[sample(N)])

d7$pDV <- ifelse(d7$pDV > tmp, 1, 0)

d7$id <- 1:nrow(d7)

df_contrasts7 <- tibble(d7)

References

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