robo_care_raw: A raw data set that can be used in training for factor...
In statisticsforsocialscience/dataforsocialscience: This is a collection of data sets for social science studies
Description
Usage
Format
Source
References
Description
The dataset contains variable labels and level labels. Use of the
to_factor function from the labelled package is highly suggested.
Usage
1
Format
A data frame with 337 rows and 61 labelled variables:
- age
Age of the participant
- gender
Gender of the participant
Source
Data was self-collected at the RWTH Aachen University.
References
André Calero Valdez (Eds.) (2017) Akzeptanz autonomer Robotik, Apprimus Aachen
(Apprimus)
statisticsforsocialscience/dataforsocialscience documentation built on Jan. 4, 2021, 3:12 p.m.
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Description Usage Format Source References
Description
The dataset contains variable labels and level labels. Use of the
to_factor function from the labelled package is highly suggested.
Usage
1 |
Format
A data frame with 337 rows and 61 labelled variables:
- age
Age of the participant
- gender
Gender of the participant
Source
Data was self-collected at the RWTH Aachen University.
References
André Calero Valdez (Eds.) (2017) Akzeptanz autonomer Robotik, Apprimus Aachen (Apprimus)
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.
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