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Version 1.7.0  (2003-04-16)

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> library(MASS);
> test <- read.table("madham1.txt", sep="");
> train <- read.table("disputed1.txt", sep="");
> cl <- factor(c(rep("m",14), rep("h",18)))
> 
> test;
      V1      V2      V3
1  0.000 206.943 194.927
2  0.000 212.915 194.665
3  0.369 202.583 190.775
4  1.207 211.161 195.173
5  0.000 236.943 206.221
6  0.000 216.064 202.788
7  0.000 204.622 200.676
8  0.720 211.095 198.127
9  0.000 218.177 193.999
10 0.000 203.793 201.034
11 0.000 201.891 213.712
12 0.000 200.383 206.130
13 0.000 209.506 221.207
14 0.000 210.016 189.553
15 3.788 224.116 196.338
16 1.876 189.962 197.467
17 4.885 215.364 174.067
18 1.511 212.991 176.234
19 2.026 219.352 176.292
20 2.406 212.911 182.438
21 3.265 215.019 173.041
22 3.853 238.305 179.417
23 2.523 241.800 183.768
24 2.377 232.937 186.078
25 1.580 232.227 183.254
26 4.965 231.380 189.176
27 4.955 232.432 192.793
28 2.127 216.651 200.851
29 1.764 230.453 201.646
30 2.458 226.647 201.082
31 3.015 235.176 187.940
32 5.068 231.627 180.943
> train;
      V1      V2      V3
1  0.000 226.277 203.163
2  0.908 205.268 181.653
3  0.000 225.536 182.627
4  0.000 217.273 183.053
5  0.000 208.796 198.148
6  1.003 232.581 184.962
7  0.000 210.914 184.366
8  0.000 192.638 196.933
9  0.000 226.509 207.898
10 0.000 207.393 187.710
11 0.000 220.076 186.476
12 0.000 213.391 194.591
> cl;
 [1] m m m m m m m m m m m m m m h h h h h h h h h h h h h h h h h h
Levels: h m
> 
> z <- lda(test, cl);
> 
> predict(z, train);
$class
 [1] m m m m m h m m m m m m
Levels: h m

$posterior
             h         m
1  0.010838072 0.9891619
2  0.278819688 0.7211803
3  0.088458456 0.9115415
4  0.055037047 0.9449630
5  0.007009260 0.9929907
6  0.617610818 0.3823892
7  0.034136047 0.9658640
8  0.003236111 0.9967639
9  0.006605178 0.9933948
10 0.019791247 0.9802088
11 0.044954650 0.9550454
12 0.013252700 0.9867473

$x
    
           LD1
  1  1.7116022
  2  0.5786277
  3  1.0181119
  4  1.1804321
  5  1.8513998
  6  0.1240530
  7  1.3392534
  8  2.0983298
  9  1.8704080
  10 1.5172550
  11 1.2481427
  12 1.6468756

>