df_english: Data from a self-paced reading experiment that records log...
In vasishth/lingpsych: Data and Functions used in the Book "Linear Mixed Models in Linguistics and Psychology: A Comprehensive Introduction"
Description
Usage
Format
References
Description
The dataset is from a self-paced reading study by \insertCiteVSLK08;textuallingpsych, and contains reading times from a design that had two conditions, grammatical and ungrammatical double center embeddings in English. There are 48 subjects who read 16 items in a Latin square design. The data shown here focus on log reading times at the noun phrase following the final verb in a double center embedding.
Usage
1
Format
A data frame with 768 rows and 4 variables:
- subject
The subject id, ranging from 1 to 49.
- item
The item id, ranging from 1 to 16.
- condition
Grammatical conditions are coded as +1, and ungrammatical conditions as -1.
- NP1
The log reading times at the noun phase following the final verb in a double center embedding.
References
\insertAllCited
vasishth/lingpsych documentation built on Dec. 23, 2021, 2:11 p.m.
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Description Usage Format References
Description
The dataset is from a self-paced reading study by \insertCiteVSLK08;textuallingpsych, and contains reading times from a design that had two conditions, grammatical and ungrammatical double center embeddings in English. There are 48 subjects who read 16 items in a Latin square design. The data shown here focus on log reading times at the noun phrase following the final verb in a double center embedding.
Usage
1 |
Format
A data frame with 768 rows and 4 variables:
- subject
The subject id, ranging from 1 to 49.
- item
The item id, ranging from 1 to 16.
- condition
Grammatical conditions are coded as +1, and ungrammatical conditions as -1.
- NP1
The log reading times at the noun phase following the final verb in a double center embedding.
References
\insertAllCitedR 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.
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