grouping: Grouping of Subjects for the Implicit Association Test
In intervcomp: Hypothesis Testing Using the Overlapping Interval Estimates
Description
Usage
Format
References
Examples
Description
Each subject is classified as female (=0) or male (=1).
The variables are as follows:
subId: Subject IDs
gender: Grouping. Female=0 and Male=1
Usage
1
Format
A data frame with 83 rows and 2 columns.
References
Lemm, K.M. (2006).
Positive associations among interpersonal contact, motivation, and implicit
and explicit attitudes toward gay men. Journal of Homosexuality 51:2, 79-99.
Examples
1
intervcomp documentation built on July 12, 2019, 5:04 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format References Examples
Description
Each subject is classified as female (=0) or male (=1). The variables are as follows:
subId: Subject IDs
gender: Grouping. Female=0 and Male=1
Usage
1 |
Format
A data frame with 83 rows and 2 columns.
References
Lemm, K.M. (2006). Positive associations among interpersonal contact, motivation, and implicit and explicit attitudes toward gay men. Journal of Homosexuality 51:2, 79-99.
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.