mtcars: mtcars
In matthewhirschey/bespokelearnr: Bespoke data science learning
Description
Usage
Format
Source
Description
A dataset containing human proteome information from Uniprot.
Usage
1
Format
A data frame with 20,430 rows and 8 variables:
- id
Make and model
- make
Make of the car
- model
Model of the car
- mpg
Miles/(US) gallon
- cyl
Number of cylinders
- disp
Displacement (cu.in.)
- hp
Gross horsepower
- drat
Rear axle ratio
- wt
Weight (1000 lbs)
- qsec
1/4 mile time
- vs
Engine (0 = V-shaped, 1 = straight)
- am
Transmission (0 = automatic, 1 = manual)
- gear
Number of forward gears
- carb
Number of carburetors
Source
Henderson and Velleman (1981), Building multiple regression models interactively. Biometrics, 37, 391–411
matthewhirschey/bespokelearnr documentation built on Oct. 11, 2020, 12:57 a.m.
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Description Usage Format Source
Description
A dataset containing human proteome information from Uniprot.
Usage
1 |
Format
A data frame with 20,430 rows and 8 variables:
- id
Make and model
- make
Make of the car
- model
Model of the car
- mpg
Miles/(US) gallon
- cyl
Number of cylinders
- disp
Displacement (cu.in.)
- hp
Gross horsepower
- drat
Rear axle ratio
- wt
Weight (1000 lbs)
- qsec
1/4 mile time
- vs
Engine (0 = V-shaped, 1 = straight)
- am
Transmission (0 = automatic, 1 = manual)
- gear
Number of forward gears
- carb
Number of carburetors
Source
Henderson and Velleman (1981), Building multiple regression models interactively. Biometrics, 37, 391–411
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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