prostate: Prostate cancer data
In asbio: A Collection of Statistical Tools for Biologists
prostate R Documentation
Prostate cancer data
Description
Hastie et al. (2001) describe a cancer research study that attempted to associate prostate specific antigens and and a number of prognostic measures in the context of advanced prostate cancer.
Data in the experiment were collected from 97 men who were about to undergo radial prostectomies.
Usage
data(prostate)
Format
A data frame with 97 observations on the following 4 variables.
PSASerum prostate-specific albumin level (mg/ml).
volTumor volume (cc).
weightProstate weight (g).
GleasonPathologically determined grade of disease. Summed scores were either 6, 7, or 8 with higher scores indicating worse prognosis.
Source
Kutner, M. H., Nachtsheim, C. J., Neter, J., and W. Li (2005) Applied Linear Statistical Models, 5th edition. McGraw-Hill, Boston.
References
Hastie, T., R. Tibshirani, and J. Friedman (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition. Springer.
asbio documentation built on May 29, 2024, 5:57 a.m.
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| prostate | R Documentation |
Prostate cancer data
Description
Hastie et al. (2001) describe a cancer research study that attempted to associate prostate specific antigens and and a number of prognostic measures in the context of advanced prostate cancer.
Data in the experiment were collected from 97 men who were about to undergo radial prostectomies.
Usage
data(prostate)Format
A data frame with 97 observations on the following 4 variables.
PSASerum prostate-specific albumin level (mg/ml).
volTumor volume (cc).
weightProstate weight (g).
GleasonPathologically determined grade of disease. Summed scores were either 6, 7, or 8 with higher scores indicating worse prognosis.
Source
Kutner, M. H., Nachtsheim, C. J., Neter, J., and W. Li (2005) Applied Linear Statistical Models, 5th edition. McGraw-Hill, Boston.
References
Hastie, T., R. Tibshirani, and J. Friedman (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition. Springer.
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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