View statlib-20050214 csb_ch19g (public)

2010-11-06 10:00 by mldata | Version 1 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
Rating
Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star Overall (based on 0 votes)
Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star Interesting
Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star Documentation
Summary

(No information yet)

License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
Integer
Download
# Instances: 31164 / # Attributes: 10
HDF5 (1.2 MB) XML CSV ARFF LibSVM Matlab Octave

Files are converted on demand and the process can take up to a minute. Please wait until download begins.

Completeness of this item currently: 55%.
You can edit this item to add more meta information and make use of the site's premium features.
Original Data Format
arff
Name
csb-ch19g
Version mldata
0
Comment

                  Data Diskette for
              CASE STUDIES IN BIOMETRY

By Nicholas Lange, Louise Ryan and Lynne Brillard, David Brillinger, Loveday Conquest, Joel Greenhouse.

Published by John Wiley & Sons, Inc., copyright 1994.


You have obtained all of the data used by all of the authors in the twenty-one chapters of Case Studies in Biometry.

Each chapter contains either one or two data sets, except for Chapter 19, which has seven data sets. Corresponding to each data set are ASCII files with extensions ".dat" (the data), ".txt" (the data description file), and ".sas" (a simple SAS program to read the .dat file).

For chapters containing only one data set, the file name prefix is "ch" followed by chapter number, and then the above extensions. For instance, for Chapter 2 you will find files "ch2.dat", "ch2.txt", and "ch2.sas".

For chapters containing two data sets, the letters "a" and "b" are added after the chapter number. For instance, for Chapter 1, you will find the files "ch1a.dat", "ch1a.txt", "ch1a.sas", "ch1b.dat", "ch1b.txt", "ch1b.sas".

For chapter 19, there are seven data sets, ch19a.dat through ch19g.dat. Each one has the same format, but refers to different subsets of the whole data set. Details are given in the single text file, ch19.txt.

Please note permissions and usage information included in the .txt file for each subset.


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% File: ch19g.dat %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% File specific Information: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

CASE STUDIES IN BIOMETRY: Chapter 19.

Patterns of Lung Cancer Risk in Ex-Smokers

Brenda W. Gillespie, Michael T. Halpern, Kenneth E. Warner

The files ch19a.dat through ch19g.dat contain various subsets of the data used in this chapter. Due to the very large size of the full data set, the data were broken into these subsets to facilitate easier access by the readers.

The seven data sets and their sizes are as follows:

ch19a.dat 0.04 megs never-smokers ch19b.dat 0.67 megs current smokers: male ch19c.dat 0.61 megs current smokers: female ch19d.dat 1.15 megs former smokers: male, no college ch19e.dat 1.49 megs former smokers: male, some college ch19f.dat 0.70 megs former smokers: female, no college ch19g.dat 0.93 megs former smokers: female, some college

Total size: 5.42 megs

The ten variables listed in each file are:

Age: Age on January 1, 1982. Gender: 0=Male, 1=Female Education: 0=no college, 1=some college
Smoker: 1=never, 2=former, 3=current
Cigarettes/day: values rounded UP to the nearest 5. Years smoked: Number of years smoked as of January 1, 1982. Years quit: Number of years since smoking cessation, as of January 1, 1982 (zero indicates less than one year) Followup Time: Years from January 1, 1982 until death or last interview. Death codes: 0=alive, 1=death from other causes, 2=lung cancer death. Freq: the frequency at which each combination of variables occured.

Permission statement:

The authors grant permission to redistribute this data set in the format provided. Use of the data is restricted to non-commercial and scientific purposes. Ownership of the data resides with the American Cancer Society. Analyses derived from the data should be conducted with the Society's explicit approval and potential participation if any publication in relation to such analyses is contemplated.

Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific

Names
Age,Gender,Education,Smoker,Cigarettes/day,Years_smoked,Years_quit,Followup_Time,Death_codes,Freq,
Types
  1. numeric
  2. nominal:1
  3. nominal:1
  4. nominal:2
  5. numeric
  6. numeric
  7. numeric
  8. numeric
  9. numeric
  10. numeric
Data (first 10 data points)
    Age Gender Educ... Smoker Ciga... Year... Year... Foll... Deat... Freq
    35 1 1 2 10 12 5 0 0 2
    35 1 1 2 20 17 5 0 0 1
    35 1 1 2 5 5 3 6 0 1
    35 1 1 2 5 5 5 6 0 1
    35 1 1 2 5 11 1 6 0 1
    35 1 1 2 5 12 1 6 0 1
    35 1 1 2 5 12 3 6 0 1
    35 1 1 2 5 12 5 6 0 1
    35 1 1 2 5 14 1 6 0 1
    35 1 1 2 5 14 5 6 0 2
    ... ... ... ... ... ... ... ... ... ...
Description

A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)

URLs
(No information yet)
Publications
    Data Source
    http://lib.stat.cmu.edu/datasets/
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2010-11-06 10:00

    No one has posted any comments yet. Perhaps you would like to be the first?

    Leave a comment

    To post a comment, please sign in.

    This item was downloaded 3851 times and viewed 1812 times.

    No Tasks yet on dataset statlib-20050214 csb_ch19g

    Submit a new Task for this Data item

    Data

    Sort by

    Disclaimer

    We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.

    Data | Task | Method | Challenge

    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
    PASCAL Logo
    http://www.pascal-network.org/.