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Uni Köln
> WiSo-Fakultät
> Seminar
für Wirtschafts- und Sozialstatistik > Institut
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Mosler > Prof. Mosler > Datenportal
Datenportal des Lehrstuhls für Statistik und Ökonometrie
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Bupa Liver Disorder data
The data set (and description) can be downloaded here:
http://archive.ics.uci.edu/ml/machine-learning-databases/liver-disorders/bupa.data
Description:
1. Title: BUPA liver disorders
2. Source information:
-- Creators: BUPA Medical Research Ltd.
-- Donor: Richard S. Forsyth
8 Grosvenor Avenue
Mapperley Park
Nottingham NG3 5DX
0602-621676
-- Date: 5/15/1990
3. Past usage:
-- None known other than what is shown in the PC/BEAGLE User's Guide
(written by Richard S. Forsyth).
4. Relevant information:
-- The first 5 variables are all blood tests which are thought
to be sensitive to liver disorders that might arise from
excessive alcohol consumption. Each line in the bupa.data file
constitutes the record of a single male individual.
-- It appears that drinks>5 is some sort of a selector on this database.
See the PC/BEAGLE User's Guide for more information.
5. Number of instances: 345
6. Number of attributes: 7 overall
7. Attribute information:
1. mcv mean corpuscular volume
2. alkphos alkaline phosphotase
3. sgpt alamine aminotransferase
4. sgot aspartate aminotransferase
5. gammagt gamma-glutamyl transpeptidase
6. drinks number of half-pint equivalents of alcoholic beverages
drunk per day
7. selector field used to split data into two sets
8. Missing values: none
Citation Request:
Please refer to the repository http://archive.ics.uci.edu/ml (see citation policy).
See also Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository
[http://archive.ics.uci.edu/ml].
Irvine, CA: University of California, School of Information and Computer Science.
Descriptive statistics:
Dataset= bupa : n= 345 , d= 6
Class1: n= 145
Covariance matrix:
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 14.9696 5.4507 13.1248 8.0324 39.0269 6.4979
[2,] 5.4507 345.6176 4.4418 23.4608 107.0530 4.2127
[3,] 13.1248 4.4418 248.9430 83.5237 315.4976 26.0226
[4,] 8.0324 23.4608 83.5237 59.8776 143.1381 13.1582
[5,] 39.0269 107.0530 315.4976 143.1381 1103.9025 63.9217
[6,] 6.4979 4.2127 26.0226 13.1582 63.9217 15.4427
Correlation matrix:
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1.0000 0.0758 0.2150 0.2683 0.3036 0.4274
[2,] 0.0758 1.0000 0.0151 0.1631 0.1733 0.0577
[3,] 0.2150 0.0151 1.0000 0.6841 0.6018 0.4197
[4,] 0.2683 0.1631 0.6841 1.0000 0.5567 0.4327
[5,] 0.3036 0.1733 0.6018 0.5567 1.0000 0.4896
[6,] 0.4274 0.0577 0.4197 0.4327 0.4896 1.0000
Median: 90.1771 69.5565 27.5063 20.9639 22.0795 2.795
Mean: 90.6345 71.9793 31.2069 22.7862 31.5448 3.5414
MCD-estimated:
MDC-0.975-Mean: 89.9813 68.757 26.0467 20.4206 18.8318 2.3598
MDC-0.750-Mean: 89.8889 68.6481 26.0556 20.4907 19.0185 2.2593
MDC-0.500-Mean: 90.0571 68.9333 25.5238 20.1143 18.4381 2.2571
Class2: n= 200
Covariance matrix:
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 23.0862 1.0180 12.1835 9.8273 42.8859 3.2715
[2,] 1.0180 326.2356 41.8236 34.5713 106.1680 7.3935
[3,] 12.1835 41.8236 477.2004 192.5309 445.0601 4.3705
[4,] 9.8273 34.5713 192.5309 127.4371 241.0319 6.9160
[5,] 42.8859 106.1680 445.0601 241.0319 1807.8202 31.7621
[6,] 3.2715 7.3935 4.3705 6.9160 31.7621 8.0751
Correlation matrix:
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1.0000 0.0117 0.1161 0.1812 0.2099 0.2396
[2,] 0.0117 1.0000 0.1060 0.1696 0.1382 0.1440
[3,] 0.1161 0.1060 1.0000 0.7807 0.4792 0.0704
[4,] 0.1812 0.1696 0.7807 1.0000 0.5022 0.2156
[5,] 0.2099 0.1382 0.4792 0.5022 1.0000 0.2629
[6,] 0.2396 0.1440 0.0704 0.2156 0.2629 1.0000
Median: 89.8908 65.6591 24.9448 23.2974 30.8386 3.0388
Mean: 89.815 68.34 29.825 25.99 43.17 3.3925
MCD-estimated:
MDC-0.975-Mean: 89.554 66.0072 22.7338 21.9137 25.6115 2.8273
MDC-0.750-Mean: 89.554 66.0072 22.7338 21.9137 25.6115 2.8273
MDC-0.500-Mean: 89.554 66.0072 22.7338 21.9137 25.6115 2.8273
Measures:
Mah.Dist: 0.7934
Mah.Dist-MCD-0.975: 1.0677
Mah.Dist-MCD-0.750: 1.0604
Mah.Dist-MCD-0.500: 1.1049
Zuletzt geändert am 17.02.2013
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