abalone: abalone
In carpenitoThomas/misl: Multiple Imputation by Super Learning
abalone R Documentation
abalone
Description
Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope – a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem. Data comes from the UCI machine learning repository. Further information can be found at: https://archive.ics.uci.edu/ml/datasets/Abalone
Usage
abalone
Format
A data frame with 4177 rows and 9 variables:
SexMale, Female, Infant
LengthLongest shell measurement (mm)
DiameterPerpendicular to length (mm)
HeightWith meat in shell (mm)
Whole_WeightWhole abalone (g)
Older_12Whether the abalone is (strictly) greater than 12 years of age (0 = no, 1 = yes)
Source
Warwick J Nash, Tracy L Sellers, Simon R Talbot, Andrew J Cawthorn and Wes B Ford (1994) "The Population Biology of Abalone (Haliotis species) in Tasmania. I. Blacklip Abalone (H. rubra) from the North Coast and Islands of Bass Strait",Sea Fisheries Division, Technical Report No. 48 (ISSN 1034-3288)
carpenitoThomas/misl documentation built on June 2, 2022, 12:30 p.m.
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| abalone | R Documentation |
abalone
Description
Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope – a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem. Data comes from the UCI machine learning repository. Further information can be found at: https://archive.ics.uci.edu/ml/datasets/Abalone
Usage
abalone
Format
A data frame with 4177 rows and 9 variables:
SexMale, Female, Infant
LengthLongest shell measurement (mm)
DiameterPerpendicular to length (mm)
HeightWith meat in shell (mm)
Whole_WeightWhole abalone (g)
Older_12Whether the abalone is (strictly) greater than 12 years of age (0 = no, 1 = yes)
Source
Warwick J Nash, Tracy L Sellers, Simon R Talbot, Andrew J Cawthorn and Wes B Ford (1994) "The Population Biology of Abalone (Haliotis species) in Tasmania. I. Blacklip Abalone (H. rubra) from the North Coast and Islands of Bass Strait",Sea Fisheries Division, Technical Report No. 48 (ISSN 1034-3288)
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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