;% ;% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! ;% ;% Weight treated as the class attribute. Identifier deleted. ;% ;% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction ;% using instance-based learning with encoding length selection. In Progress ;% in Connectionist-Based Information Systems. Singapore: Springer-Verlag. ;% ;% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! ;% ;% NAME: fishcatch ;% TYPE: Sample ;% SIZE: 159 observations, 8 variables ;% ;% DESCRIPTIVE ABSTRACT: ;% ;% 159 fishes of 7 species are caught and measured. Altogether there are ;% 8 variables. All the fishes are caught from the same lake ;% (Laengelmavesi) near Tampere in Finland. ;% ;% SOURCES: ;% Brofeldt, Pekka: Bidrag till kaennedom on fiskbestondet i vaera ;% sjoear. Laengelmaevesi. T.H.Jaervi: Finlands Fiskeriet Band 4, ;% Meddelanden utgivna av fiskerifoereningen i Finland. ;% Helsingfors 1917 ;% ;% VARIABLE DESCRIPTIONS: ;% ;% 1 Obs Observation number ranges from 1 to 159 ;% 2 Species (Numeric) ;% Code Finnish Swedish English Latin ;% 1 Lahna Braxen Bream Abramis brama ;% 2 Siika Iiden Whitewish Leusiscus idus ;% 3 Saerki Moerten Roach Leuciscus rutilus ;% 4 Parkki Bjoerknan ? Abramis bjrkna ;% 5 Norssi Norssen Smelt Osmerus eperlanus ;% 6 Hauki Jaedda Pike Esox lucius ;% 7 Ahven Abborre Perch Perca fluviatilis ;% ;% 3 Weight Weight of the fish (in grams) ;% 4 Length1 Length from the nose to the beginning of the tail (in cm) ;% 5 Length2 Length from the nose to the notch of the tail (in cm) ;% 6 Length3 Length from the nose to the end of the tail (in cm) ;% 7 Height% Maximal height as % of Length3 ;% 8 Width% Maximal width as % of Length3 ;% 9 Sex 1 = male 0 = female ;% ;% ;% ;% ___/////___ _ ;% / \ ___ | ;% /\ \_ / / H ;% < ) __) \ | ;% \/_\\_________/ \__\ _ ;% ;% |------- L1 -------| ;% |------- L2 ----------| ;% |------- L3 ------------| ;% ;% ;% Values are aligned and delimited by blanks. ;% Missing values are denoted with NA. ;% There is one data line for each case. ;% ;% SPECIAL NOTES: ;% I have usually calculated ;% Height = Height%*Length3/100 ;% Widht = Widht%*Length3/100 ;% ;% ;% PEDAGOGICAL NOTES: ;% I have mainly used only Species=7 (Perch) and here is some of the ;% models and test, we have used ;% ;% Weight=a+b*(Length3*Height*Width)+epsilon ;% Ho: a=0; ;% Heteroscedastic case. Question: What is proper weighting, ;% if you use Length3 as a weighting variable. ;% ;% Log(Weight)=a+b1*Length3+epsilon ;% ;% Weight^(1/3)=a+b1*Length3+epsilon ;% (Given by Box-Cox-transformation) ;% Ho: a=0; ;% ;% Log(Weight)=a+b1*Length3+b2*Height+b3*Width+epsilon ;% Ho: b1+b2+b3=3; ;% i.e. dimension of the fish = 3 ;% ;% Weight^(1/3)=a+b1*Length3+b2*Height+b3*Width+epsilon ;% (Given by Box-Cox-transformation) ;% Ho: a=0; ;% ;% Weight=a*Length3^b1*Height^b2*Width^b3+epsilon ;% Nonlinear, heteroscedastic case. ;% What is proper weighting? ;% ;% Is obs 143 ;% ;% 143 7 840.0 32.5 35.0 37.3 30.8 20.9 0 ;% ;% an outlier? It had in its stomach 6 roach. ;% ;% ;% ;% REFERENCES: ;% Brofeldt, Pekka: Bidrag till kaennedom on fiskbestondet i vaara ;% sjoear. Laengelmaevesi. T.H.Jaervi: Finlands Fiskeriet Band 4, ;% Meddelanden utgivna av fiskerifoereningen i Finland. ;% Helsingfors 1917 ;% ;% ;% SUBMITTED BY: ;% Juha Puranen ;% Departement of statistics ;% PL33 (Aleksanterinkatu 7) ;% 000014 University of Helsinki ;% Finland ;% e-mail: jpuranen@noppa.helsinki.fi ;% (defun fishcatch () (data :name 'fishcatch :columns '(Species $Length1 $Length2 $Length3 $Height $Width $Sex $class) :egs '( (1 23.2 25.4 30 38.4 13.4 ? 242) (1 24 26.3 31.2 40 13.8 ? 290) (1 23.9 26.5 31.1 39.8 15.1 ? 340) (1 26.3 29 33.5 38 13.3 ? 363) (1 26.5 29 34 36.6 15.1 ? 430) (1 26.8 29.7 34.7 39.2 14.2 ? 450) (1 26.8 29.7 34.5 41.1 15.3 ? 500) (1 27.6 30 35 36.2 13.4 ? 390) (1 27.6 30 35.1 39.9 13.8 ? 450) (1 28.5 30.7 36.2 39.3 13.7 ? 500) (1 28.4 31 36.2 39.4 14.1 ? 475) (1 28.7 31 36.2 39.7 13.3 ? 500) (1 29.1 31.5 36.4 37.8 12 ? 500) (1 29.4 32 37.2 40.2 13.9 1 600) (1 29.4 32 37.2 41.5 15 ? 600) (1 30.4 33 38.3 38.8 13.8 1 700) (1 30.4 33 38.5 38.8 13.5 ? 700) (1 30.9 33.5 38.6 40.5 13.3 ? 610) (1 31 33.5 38.7 37.4 14.8 ? 650) (1 31.3 34 39.5 38.3 14.1 1 575) (1 31.4 34 39.2 40.8 13.7 ? 685) (1 31.5 34.5 39.7 39.1 13.3 ? 620) (1 31.8 35 40.6 38.1 15.1 ? 680) (1 31.9 35 40.5 40.1 13.8 ? 700) (1 31.8 35 40.9 40 14.8 1 725) (1 32 35 40.6 40.3 15 ? 720) (1 32.7 36 41.5 39.8 14.1 ? 714) (1 32.8 36 41.6 40.6 14.9 ? 850) (1 33.5 37 42.6 44.5 15.5 0 1000) (1 35 38.5 44.1 40.9 14.3 0 920) (1 35 38.5 44 41.1 14.3 ? 955) (1 36.2 39.5 45.3 41.4 14.9 1 925) (1 37.4 41 45.9 40.6 14.7 0 975) (1 38 41 46.5 37.9 13.7 ? 950) (2 23.6 26 28.7 29.2 14.8 ? 270) (2 24.1 26.5 29.3 27.8 14.5 ? 270) (2 25.6 28 30.8 28.5 15.2 ? 306) (2 28.5 31 34 31.6 19.3 ? 540) (2 33.7 36.4 39.6 29.7 16.6 0 800) (2 37.3 40 43.5 28.4 15 ? 1000) (3 12.9 14.1 16.2 25.6 14 ? 40) (3 16.5 18.2 20.3 26.1 13.9 ? 69) (3 17.5 18.8 21.2 26.3 13.7 ? 78) (3 18.2 19.8 22.2 25.3 14.3 ? 87) (3 18.6 20 22.2 28 16.1 ? 120) (3 19 20.5 22.8 28.4 14.7 ? 0) (3 19.1 20.8 23.1 26.7 14.7 0 110) (3 19.4 21 23.7 25.8 13.9 0 120) (3 20.4 22 24.7 23.5 15.2 0 150) (3 20.5 22 24.3 27.3 14.6 0 145) (3 20.5 22.5 25.3 27.8 15.1 0 160) (3 21 22.5 25 26.2 13.3 ? 140) (3 21.1 22.5 25 25.6 15.2 0 160) (3 22 24 27.2 27.7 14.1 ? 169) (3 22 23.4 26.7 25.9 13.6 ? 161) (3 22.1 23.5 26.8 27.6 15.4 0 200) (3 23.6 25.2 27.9 25.4 14 ? 180) (3 24 26 29.2 30.4 15.4 ? 290) (3 25 27 30.6 28 15.6 0 272) (3 29.5 31.7 35 27.1 15.3 ? 390) (4 13.5 14.7 16.5 41.5 14.1 ? 55) (4 14.3 15.5 17.4 37.8 13.3 1 60) (4 16.3 17.7 19.8 37.4 13.5 1 90) (4 17.5 19 21.3 39.4 13.7 1 120) (4 18.4 20 22.4 39.7 14.7 ? 150) (4 19 20.7 23.2 36.8 14.2 ? 140) (4 19 20.7 23.2 40.5 14.7 0 170) (4 19.8 21.5 24.1 40.4 13.1 0 145) (4 21.2 23 25.8 40.1 14.2 ? 200) (4 23 25 28 39.6 14.8 0 273) (4 24 26 29 39.2 14.6 0 300) (5 9.3 9.8 10.8 16.1 9.7 1 6.7) (5 10 10.5 11.6 17 10 0 7.5) (5 10.1 10.6 11.6 14.9 9.9 1 7) (5 10.4 11 12 18.3 11.5 0 9.7) (5 10.7 11.2 12.4 16.8 10.3 1 9.8) (5 10.8 11.3 12.6 15.7 10.2 1 8.7) (5 11.3 11.8 13.1 16.9 9.8 1 10) (5 11.3 11.8 13.1 16.9 8.9 0 9.9) (5 11.4 12 13.2 16.7 8.7 0 9.8) (5 11.5 12.2 13.4 15.6 10.4 0 12.2) (5 11.7 12.4 13.5 18 9.4 0 13.4) (5 12.1 13 13.8 16.5 9.1 0 12.2) (5 13.2 14.3 15.2 18.9 13.6 0 19.7) (5 13.8 15 16.2 18.1 11.6 0 19.9) (6 30 32.3 34.8 16 9.7 ? 200) (6 31.7 34 37.8 15.1 11 0 300) (6 32.7 35 38.8 15.3 11.3 ? 300) (6 34.8 37.3 39.8 15.8 10.1 ? 300) (6 35.5 38 40.5 18 11.3 ? 430) (6 36 38.5 41 15.6 9.7 1 345) (6 40 42.5 45.5 16 9.5 ? 456) (6 40 42.5 45.5 15 9.8 ? 510) (6 40.1 43 45.8 17 11.2 ? 540) (6 42 45 48 14.5 10.2 ? 500) (6 43.2 46 48.7 16 10 0 567) (6 44.8 48 51.2 15 10.5 0 770) (6 48.3 51.7 55.1 16.2 11.2 ? 950) (6 52 56 59.7 17.9 11.7 ? 1250) (6 56 60 64 15 9.6 ? 1600) (6 56 60 64 15 9.6 0 1550) (6 59 63.4 68 15.9 11 0 1650) (7 7.5 8.4 8.8 24 16 ? 5.9) (7 12.5 13.7 14.7 24 13.6 ? 32) (7 13.8 15 16 23.9 15.2 ? 40) (7 15 16.2 17.2 26.7 15.3 ? 51.5) (7 15.7 17.4 18.5 24.8 15.9 ? 70) (7 16.2 18 19.2 27.2 17.3 ? 100) (7 16.8 18.7 19.4 26.8 16.1 ? 78) (7 17.2 19 20.2 27.9 15.1 ? 80) (7 17.8 19.6 20.8 24.7 14.6 ? 85) (7 18.2 20 21 24.2 13.2 ? 85) (7 19 21 22.5 25.3 15.8 ? 110) (7 19 21 22.5 26.3 14.7 ? 115) (7 19 21 22.5 25.3 16.3 1 125) (7 19.3 21.3 22.8 28 15.5 0 130) (7 20 22 23.5 26 14.5 0 120) (7 20 22 23.5 24 15 ? 120) (7 20 22 23.5 26 15 ? 130) (7 20 22 23.5 25 15 ? 135) (7 20 22 23.5 23.5 17 0 110) (7 20.5 22.5 24 24.4 15.1 0 130) (7 20.5 22.5 24 28.3 15.1 0 150) (7 20.7 22.7 24.2 24.6 15 ? 145) (7 21 23 24.5 21.3 14.8 ? 150) (7 21.5 23.5 25 25.1 14.9 ? 170) (7 22 24 25.5 28.6 14.6 ? 225) (7 22 24 25.5 25 15 ? 145) (7 22.6 24.6 26.2 25.7 15.9 ? 188) (7 23 25 26.5 24.3 13.9 0 180) (7 23.5 25.6 27 24.3 15.7 ? 197) (7 25 26.5 28 25.6 14.8 ? 218) (7 25.2 27.3 28.7 29 17.9 0 300) (7 25.4 27.5 28.9 24.8 15 0 260) (7 25.4 27.5 28.9 24.4 15 ? 265) (7 25.4 27.5 28.9 25.2 15.8 0 250) (7 25.9 28 29.4 26.6 14.3 ? 250) (7 26.9 28.7 30.1 25.2 15.4 0 300) (7 27.8 30 31.6 24.1 15.1 0 320) (7 30.5 32.8 34 29.5 17.7 ? 514) (7 32 34.5 36.5 28.1 17.5 ? 556) (7 32.5 35 37.3 30.8 20.9 0 840) (7 34 36.5 39 27.9 17.6 0 685) (7 34 36 38.3 27.7 17.6 0 700) (7 34.5 37 39.4 27.5 15.9 0 700) (7 34.6 37 39.3 26.9 16.2 0 690) (7 36.5 39 41.4 26.9 18.1 0 900) (7 36.5 39 41.4 26.9 14.5 ? 650) (7 36.6 39 41.3 30.1 17.8 ? 820) (7 36.9 40 42.3 28.2 16.8 0 850) (7 37 40 42.5 27.6 17 0 900) (7 37 40 42.4 29.2 17.6 0 1015) (7 37.1 40 42.5 26.2 15.6 0 820) (7 39 42 44.6 28.7 15.4 0 1100) (7 39.8 43 45.2 26.4 16.1 0 1000) (7 40.1 43 45.5 27.5 16.3 0 1100) (7 40.2 43.5 46 27.4 17.7 1 1000) (7 41.1 44 46.6 26.8 16.3 0 1000) )))