log_regr_data: Dataset: admission to graduate school
In GmAMisc: 'Gianmarco Alberti' Miscellaneous
log_regr_data R Documentation
Dataset: admission to graduate school
Description
A dataset containing information about the admission to graduate school of 400 individuals; the dataset features a binary dependent variable and 3 predictors.
Dataset is after: https://stats.idre.ucla.edu/r/dae/logit-regression/
Usage
data(log_regr_data)
Format
A data frame with 400 rows and 4 variables
Details
admit. Binary dependent variable (admission yes=1, admission no=0)
gre. Graduate Record Exam score; predictor (continuous)
gpa. Grade Point Average; predictor (continuous)
rank. Prestige of the undergraduate school (ordinal)
GmAMisc documentation built on March 18, 2022, 6:32 p.m.
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| log_regr_data | R Documentation |
Dataset: admission to graduate school
Description
A dataset containing information about the admission to graduate school of 400 individuals; the dataset features a binary dependent variable and 3 predictors. Dataset is after: https://stats.idre.ucla.edu/r/dae/logit-regression/
Usage
data(log_regr_data)
Format
A data frame with 400 rows and 4 variables
Details
admit. Binary dependent variable (admission yes=1, admission no=0)
gre. Graduate Record Exam score; predictor (continuous)
gpa. Grade Point Average; predictor (continuous)
rank. Prestige of the undergraduate school (ordinal)
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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