radon_mn: Historical data used for classification examples.
In d3m-purdue/d3mLm: Gets linear model diagnostics
Description
The dataset considered here, available in the raw_data/radon.csv file, contains data for 919 homes in the 85 counties of Minnesota. Radon comes from underground and can enter more easily when home is built into ground. So, one potentially useful predictor of the radon level in a home is an indicator for whether the measurement was taken in a basement. We also have an important county-level predictor, a measurement of the average soil uranium content in the county.
Usage
1
Format
A data frame with 919 rows and 28 variables
d3m-purdue/d3mLm documentation built on May 20, 2019, 2:25 p.m.
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Description
The dataset considered here, available in the raw_data/radon.csv file, contains data for 919 homes in the 85 counties of Minnesota. Radon comes from underground and can enter more easily when home is built into ground. So, one potentially useful predictor of the radon level in a home is an indicator for whether the measurement was taken in a basement. We also have an important county-level predictor, a measurement of the average soil uranium content in the county.
Usage
1 |
Format
A data frame with 919 rows and 28 variables
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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