df_contrasts1: Simulated data with response times as a function of a...
In vasishth/lingpsych: Data and Functions used in the Book "Linear Mixed Models in Linguistics and Psychology: A Comprehensive Introduction"
Description
Usage
Format
Details
References
Description
The condition means are exactly 0.8 and 0.4 seconds.
Usage
1
Format
A data frame with 10 rows and 3 variables:
- F
Between subject factor with factor levels F1 and F2
- DV
Dependent variable, response time in seconds
- id
Subject index
Details
The data were simulated using the following R-code:
set.seed(123)
d <- mvrnorm(n=5, mu=c(0.8, 0.4), Sigma=diag(2)*0.2^2, empirical=TRUE)
df_contrasts1 <- d
mutate(id=1:nrow(.), F=factor(F))
levels(df_contrasts1$F) <- c("F1", "F2")
References
\insertAllCited
vasishth/lingpsych documentation built on Dec. 23, 2021, 2:11 p.m.
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Description Usage Format Details References
Description
The condition means are exactly 0.8 and 0.4 seconds.
Usage
1 |
Format
A data frame with 10 rows and 3 variables:
- F
Between subject factor with factor levels F1 and F2
- DV
Dependent variable, response time in seconds
- id
Subject index
Details
The data were simulated using the following R-code:
set.seed(123)
d <- mvrnorm(n=5, mu=c(0.8, 0.4), Sigma=diag(2)*0.2^2, empirical=TRUE)
df_contrasts1 <- d mutate(id=1:nrow(.), F=factor(F))
levels(df_contrasts1$F) <- c("F1", "F2")
References
\insertAllCitedR Package Documentation
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