red_train: Training dataset of quality ratings for red wine
In group-wine/sommelieR: Fitting Linear, Multinomial, and Partial Proportional Odds Models to Predict Wine Quality
Description
Usage
Format
Source
Description
A training dataset containing the quality ratings and chemical characteristics of red wine.
Usage
1
Format
A data frame with 12 variables:
- fixed.acidity
Fixed acidity.
- volatile.acidity
Volatile acidity
- citric.acid
Citric acid
- residual.sugar
Residual sugar
- chlorides
chlorides
- free.sulfur.dioxide
Free sulfur dioxide
- total.sulfur.dioxide
Total sulfur dioxide
- density
density
- pH
pH
- sulphates
sulphates
- alcohol
alcohol
- quality
quality score
Source
http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/
group-wine/sommelieR documentation built on May 21, 2019, 1:43 p.m.
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Description Usage Format Source
Description
A training dataset containing the quality ratings and chemical characteristics of red wine.
Usage
1 |
Format
A data frame with 12 variables:
- fixed.acidity
Fixed acidity.
- volatile.acidity
Volatile acidity
- citric.acid
Citric acid
- residual.sugar
Residual sugar
- chlorides
chlorides
- free.sulfur.dioxide
Free sulfur dioxide
- total.sulfur.dioxide
Total sulfur dioxide
- density
density
- pH
pH
- sulphates
sulphates
- alcohol
alcohol
- quality
quality score
Source
http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/
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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