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unknown (from Weka repository)

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arff slurped Weka

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Integer,Floating Point,String

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# Instances: 89 / # Attributes: 13
HDF5 (24.0 KB) XML CSV ARFF LibSVM Matlab Octave

Original Data Format

arff

Name

csb-ch3b

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: ch3b.dat %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% File specific Information: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

CASE STUDIES IN BIOMETRY: Chapter 3.

Prediction Models for Personal Ozone Exposure Assessment

David Wypij and L.-J. Sally Liu

The file ch3b.dat includes the personal ozone exposure data. The variables are:

 1.  Subject identification number, ranging from 1 to 23,

 2.  Date, in MM/DD/YY format,

 3.  Home region, ranging from 1 to 6,

 4.  12-hour average daytime personal ozone concentration, Y,

 5.  12-hour average daytime continuous ozone concentration at the
                       DC
     stationary site, X  ,
                       1

 6.  12-hour average nighttime continuous ozone concentration at the
                       NC
     stationary site, X  ,
                       1
                                                                O
 7.  24-hour average home outdoor passive ozone concentration, X ,
                                                                1
                                                                       DI
 8.  12-hour average home indoor daytime passive ozone concentration, X  ,
                                                                       1
                                                                         NI
 9.  12-hour average home indoor nighttime passive ozone concentration, X  ,
                                                                         1

10.  Prediction values for a 12-hour microenvironmental model based
                                      H
     on hourly ozone concentrations, X ,
                                      2
                                                O
11.  Fraction of time spent anywhere outdoors, X ,
                                                3
                                              I
12.  Fraction of time spent at home indoors, X , and
                                              3

13.  Indicator variable for whether the child stayed near the
                              S
     home for the whole day, X , where 1 = yes, 0 = no.
                              3

All ozone measurements are given in units of ppb. Missing values are encoded as periods.

Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific

Names

Subject,Date,Home_region,hour_average_daytime_personal,hour_average_daytime_continuous,hour_average_nighttime_continuous,hour_average_home_outdoor_passive,hour_average_home_indoor_daytime_passive,hour_average_home_indoor_nighttime_passive,Prediction,

Types

1. numeric
2. nominal:07/08/91,07/09/91,07/10/91,07/11/91,07/12/91,07/15/91,07/16/91,07/17/91,07/18/91,07/19/91,07/20/91,07/21/91,07/22/91,07/23/91,07/24/91,07/25/91,07/26/91,07/29/91,07/30/91,07/31/91,08/01/91,08/02/91,08/05/91,08/06/91,08/07/91,08/08/91,08/09/91,08/13/91,08/18/91,08/19/91,08/20/91,08/21/91,08/22/91,08/23/91,08/24/91,08/25/91,08/26/91
3. numeric
4. numeric
5. numeric
6. numeric
7. numeric
8. numeric
9. numeric
10. numeric

Data (first 10 data points)

Subj...	Date	Home...	hour...	hour...	hour...	hour...	hour...	hour...	Pred...	...
1	07/0...	2	26.29	47.33	19.58	25.36	22.29	13.51	29.01	...
1	07/0...	2	14.63	42.58	9.42	26.74	13.97	10.11	39.33	...
1	07/1...	2	21.45	59.55	19.83	33.2	18.96	6.55	32.78	...
1	07/1...	2	43.07	52.92	15.08	27.62	nan	2.37	32.12	...
2	07/0...	1	11.18	42.58	9.42	nan	10.17	0.87	18.75	...
2	07/1...	1	3.3	59.55	19.83	22.91	22.27	9.77	25.13	...
2	07/1...	1	12.52	52.92	15.08	nan	22.2	3.19	23.31	...
3	07/1...	5	nan	59.55	19.83	18.45	nan	5.37	nan	...
3	07/1...	5	33.23	52.92	15.08	11.81	nan	nan	25.08	...
3	07/1...	5	15.1	55.25	28.75	nan	nan	nan	23.34	...
...	...	...	...	...	...	...	...	...	...	...

Description

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

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Data Source

http://lib.stat.cmu.edu/datasets/

Measurement Details

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revision 1

by mldata on 2010-11-06 10:00

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