info           0 format
) Data from Multivariate Statistical Methods by D. F. Morrison, Ed 2
) Data sets are 
) p34 p110 X3.10.12 X3.10.14 P139 P143 X4.9.6 X4.9.8 X4.9.9 TAB5.8
) X5.9.1 X5.9.2 X5.9.6 X5.9.7 X6.6.4 P257 P282 X8.8.2 

P34           18     3 FORMAT
) Data from Morrison Example 1.3 On P. 34
) Col. 1: T1=Dummy variable (1, 0, -1) for Drug A
) Col. 2: T2=Dummy variable (0, 1, -1) for Drug B
) Col. 3: Y =Anxiety rating On 7 Point Scale
(F2.0,2F3.0)
 1  0  4
 1  0  5
 1  0  3
 1  0  3
 1  0  4
 1  0  2
 0  1  0
 0  1  2
 0  1  1
 0  1  2
 0  1  2
 0  1  2
-1 -1  1
-1 -1  0
-1 -1  0
-1 -1  1
-1 -1  2
-1 -1  2

P110           4     5 FORMAT
) Data from Example 3.3, p. 110 of Morrison
) Cols. 1-4: 4 by 4 correlation matrix among variables
) Col. 5:    sample standard deviations of variables
(F5.2,3F6.2,F7.3)
 1.00  0.72 -0.44  0.60 11.228
 0.72  1.00 -0.13  0.68 14.404
-0.44 -0.13  1.00 -0.29 10.926
 0.60  0.68 -0.29  1.00  3.095

X3.10.12       9     9 FORMAT
) 9 BY 9 CORRELATION MATRIX FROM EXERCISE 3.10.12 ON
) P. 126 OF MORRISON.
(F5.2,8F6.2)
 1.00  0.44  0.44  0.11  0.19  0.10  0.20  0.20 -0.24
 0.44  1.00  0.34  0.25  0.32  0.40  0.49  0.16 -0.22
 0.44  0.34  1.00  0.04  0.06  0.08  0.07  0.05 -0.07
 0.11  0.25  0.04  1.00  0.18  0.12  0.23  0.02 -0.20
 0.19  0.32  0.06  0.18  1.00  0.22  0.48  0.14 -0.08
 0.10  0.40  0.08  0.12  0.22  1.00  0.40 -0.11 -0.30
 0.20  0.49  0.07  0.23  0.48  0.40  1.00  0.15 -0.13
 0.20  0.16  0.05  0.02  0.14 -0.11  0.15  1.00 -0.13
-0.24 -0.22 -0.07 -0.20 -0.08 -0.30 -0.13 -0.10  1.00

X3.10.14      17     3 FORMAT
) Data from exercise 3.10.14 on p. 126-7 of morrison
) Col. 1:  dummy variable (1,-1) of group
) Col. 2: change in heart rate (beats/min) after 15. min
) Col. 3: change in heart rate (beats/min) after 90. min
(F2.0,2F4.0)
 1   5   8
 1 -17  -5
 1  -7  -1
 1  -3 -99
 1  -7  -8
 1  -9 -12
 1  -6  -4
 1   1  -3
 1  -3 -10
-1  32   4
-1  36  36
-1  20  12
-1   8   4
-1  32  12
-1  54  22
-1  24 -99
-1  60 -99

P139           6     4 FORMAT
) Data from table 4.3, p. 139 of morrison
) Col. 1-4:  pooled 4 by 4 withing group covariance matrix
) Col. 4: mean vector for group 1 (n1 = 37)
) Col. 5: mean vector for group 2 (n2 = 12)
(F7.4,3F8.4,2F6.3)
11.2553  9.4042  7.1489  3.3830 12.57  8.75
 9.4042 13.5318  7.3830  2.5532  9.57  5.33
 7.1489  7.3830 11.5744  2.6170 11.49  8.50
 3.3830  2.5532  2.6170  5.8085  7.97  4.75

P143           6     2 FORMAT COLUMNS
) Data from example 4.5, p. 143 of morrison
) Col. 1: anxiety level of patient on placebo
) Col. 2: anxiety level of patient on drug
(6F3.0)
 27 21 25 13 17 11
 19 16 14 15  5  3

X4.9.6       22     4 FORMAT
) Data from exercise 4.9.6, morrison, p. 167
) Col. 1:  dummy variable (1,-1) for control vs drug
) Col. 2-4: amount in brain of drugs a, b, c, respectively
) n1 = 10, n2 = 12
(F2.0,3F5.2)
 1 1.21 0.61 0.70
 1 0.92 0.43 0.71
 1 0.80 0.35 0.71
 1 0.85 0.48 0.68
 1 0.98 0.42 0.71
 1 1.15 0.52 0.72
 1 1.10 0.50 0.75
 1 1.02 0.53 0.70
 1 1.18 0.45 0.70
 1 1.09 0.40 0.69
-1 1.40 0.50 0.71
-1 1.17 0.39 0.69
-1 1.23 0.44 0.70
-1 1.19 0.37 0.72
-1 1.38 0.42 0.71
-1 1.17 0.45 0.70
-1 1.31 0.41 0.70
-1 1.30 0.47 0.67
-1 1.22 0.29 0.68
-1 1.00 0.30 0.70
-1 1.12 0.27 0.72
-1 1.09 0.35 0.73

X4.9.8        17     5 FORMAT
) Data from Exercise 4.9.8 on p. 168 of Morrison
) Col. 1: dummy variable (1,-1) schizophrenic vs control families
) Col. 2: m1=rorschach score 1 of mother
) Col. 3: m2=rorschach score 2 of mother
) Col. 4: f1=rorschach score 1 of father
) Col. 5: f2=rorschach score 2 of father
) n1 = 10, n2 = 7
(F2.0,4F3.0)
 1 30 35 25 33
 1 21 41 15 21
 1 27 32 25 34
 1 35 34 31 36
 1 20 37 14 21
 1 23 38 19 25
 1 28 27 26 30
 1 32 42 29 37
 1 26 36 27 33
 1 29 35 24 32
-1 20 15 26 25
-1 11  3 18 19
-1  7  2 11  8
-1 21 15 24 22
-1 15 11 17 13
-1 13 12 20 15

X4.9.9        20     6 FORMAT
) Data from Exercise 4.9.9 of Morrison, p. 169
) Col. 1: dummy variable (1,-1) control vs drug
) Col. 2: x0 = initial weight in grams
) Col. 3-5: di = weight gains in i-th week, i = 1,2,3,4
) n1 = n2 = 10
(F2.0,5F3.0)
 1 57 29 28 25 33
 1 60 33 30 23 31
 1 52 25 34 33 41
 1 49 18 33 29 35
 1 56 25 23 17 30
 1 46 24 32 29 22
 1 51 20 23 16 31
 1 63 28 21 18 24
 1 49 18 23 22 28
 1 57 25 28 29 30
-1 61 25 23 11  9
-1 59 21 21 10 11
-1 53 26 21  6 27
-1 59 29 12 11 11
-1 51 24 26 22 17
-1 51 24 17  8 19
-1 56 22 17  8  5
-1 58 11 24 21 24
-1 46 15 17 12 17
-1 53 19 17 15 18

TAB5.8        21     6 FORMAT
) Data from Table 5.8, p. 210 of Morrison
) Col. 1: c1 = dummy variable (1,0,0,-1) for class 1
) Col. 2: c2 = dummy variable (0,1,0,-1) for class 2
) Col. 3: c3 = dummy variable (0,0,1,-1) for class 3
) Col. 4-6: a,b,c = scores on scales a,b,c
) n1=8,n2=5,n3=4,n4=4
(F2.0,5F3.0)
 1  0  0 19 20 18
 1  0  0 20 21 19
 1  0  0 19 22 22
 1  0  0 18 19 21
 1  0  0 16 18 20
 1  0  0 17 22 19
 1  0  0 20 19 20
 1  0  0 15 19 19
 0  1  0 12 14 12
 0  1  0 15 15 17
 0  1  0 15 17 15
 0  1  0 13 14 14
 0  1  0 14 16 13
 0  0  1 15 14 17
 0  0  1 13 14 15
 0  0  1 12 15 15
 0  0  1 12 13 13
-1 -1 -1  8  9 10
-1 -1 -1 10 10 12
-1 -1 -1 11 10 10
-1 -1 -1 11  7 12

X5.9.1        45     8 FORMAT
) Data on specific gravity and chemicals in urine specimins of
) young men classified into four groups according to their degree
) of obesity or underweight.  The specific gravity is considered to
) be a concomitant variable (covariate).
) Data from morrison p. 224.  groups have been combined in one
) 45 by 8 matrix, with columns 1 - 4 dummy variables.
) Col. 1: constant column of 1's
) Col. 2: dummy variable for group 1 coded (1,0,0,-1)
) Col. 3: dummy variable for group 2 coded (0,1,0,-1)
) Col. 4: dummy variable for group 3 coded (0,0,1,-1)
) Col. 5: u = (specific gravity - 1) x 10~
) Col. 6: x1 = pigment creatinine
) Col. 7: x2 = chloride
) Col. 8: x3 = choline
(5F3.0,F5.1,F6.2,F5.1)
  1  1  0  0 24 17.6  5.15  7.5
  1  1  0  0 32 13.4  5.75  7.1
  1  1  0  0 17 20.3  4.35  2.3
  1  1  0  0 30 22.3  7.55  4.0
  1  1  0  0 30 20.5  8.50  2.0
  1  1  0  0 27 18.5 10.25  2.0
  1  1  0  0 25 12.1  5.95 16.8
  1  1  0  0 30 12.0  6.30 14.5
  1  1  0  0 28 10.1  5.45   .9
  1  1  0  0 24 14.7  3.75  2.0
  1  1  0  0 26 14.8  5.10   .4
  1  1  0  0 27 14.4  4.05  3.8
  1  0  1  0 31 18.1  9.00 14.5
  1  0  1  0 23 19.7  5.30 12.5
  1  0  1  0 32 16.9  9.85  8.0
  1  0  1  0 20 23.7  3.60  4.9
  1  0  1  0 18 19.2  4.05   .2
  1  0  1  0 23 18.0  4.40  3.6
  1  0  1  0 31 14.8  7.15 12.0
  1  0  1  0 28 15.6  7.25  5.2
  1  0  1  0 21 16.2  5.30 10.2
  1  0  1  0 20 14.1  3.10  8.5
  1  0  1  0 15 17.5  2.40  9.6
  1  0  1  0 26 14.1  4.25  6.9
  1  0  1  0 24 19.1  5.80  4.7
  1  0  1  0 16 22.5  1.55  3.5
  1  0  0  1 18 17.0  4.55  1.9
  1  0  0  1 10 12.5  2.65   .7
  1  0  0  1 33 21.5  6.50  8.3
  1  0  0  1 25 22.2  4.85  9.3
  1  0  0  1 35 13.0  8.75 13.0
  1  0  0  1 33 13.0  5.20 18.3
  1  0  0  1 31 10.9  4.75 10.5
  1  0  0  1 34 12.0  5.85 14.5
  1  0  0  1 16 22.8  2.85  3.3
  1  0  0  1 31 16.5  6.55  6.3
  1  0  0  1 28 18.4  6.60  4.9
  1 -1 -1 -1 32 12.5  2.90 22.5
  1 -1 -1 -1 25  8.7  3.00 19.5
  1 -1 -1 -1 28  9.4  3.40  1.3
  1 -1 -1 -1 27 15.0  5.40 20.0
  1 -1 -1 -1 23 12.9  4.45  1.0
  1 -1 -1 -1 25 12.1  4.30  5.0
  1 -1 -1 -1 26 13.2  5.00  3.0
  1 -1 -1 -1 34 11.5  3.40  5.1

x5.9.2        25     5 format
) Morrison data p. 225
) Five 5 by 5 matrices stacked on top of one another.
) There are 4 hypothesis matrices for a 2x2x2 factorial experiment
) with 1 covariate u and 4 responses y1 - y4 in that order.
) Var. 1: u = initial wt of rats
) Var. 2: y1 = weight loss 1 day after irradiation
) Var. 3: y2 = weight loss 3 day after irradiation
) Var. 4: y3 = weight loss 6 day after irradiation
) Var. 5: y4 = weight loss 7 day after irradiation
) Factor a: radiation level -- 500 r. or 600 r.
) Factor b: age -- young or adult
) Factor c: sex -- female or male
) There were 3 rats for each combination of factors
) The hypothesis matrices in the order they appear are HA, HB, HC,
) H4 = H(total interaction) = HAB+HAC+HBC+HABC.
) The 5th matrix is the error matrix E.
) To retrieve h4, say, use 'h4 <- matrices[run(17,20),-1]' in MacAnova
)"3x%lf %lf %lf %lf %lf"
(3x,5F8.2)
HA    70.04   10.25   59.79  -52.96  -71.75
HA    10.25    1.50    8.75   -7.75  -10.50
HA    59.79    8.75   51.04  -45.21  -61.25
HA   -52.96   -7.75  -45.21   40.04   54.25
HA   -71.75  -10.50  -61.25   54.25   73.50
HB 11926.04  847.08   66.88 1493.54 1605.00
HB   847.08   60.17    4.75  106.08  114.00
HB    66.88    4.75     .38    8.38    9.00
HB  1493.54  106.08    8.38  187.04  201.00
HB  1605.00  114.00    9.00  201.00  216.00
HC 51987.04 1210.08 4421.46 6469.29 3816.42
HC  1210.08   28.17  102.92  150.58   88.83
HC  4421.46  102.92  376.04  550.21  324.58
HC  6469.29  150.58  550.21  805.04  474.92
HC  3816.42   88.83  324.58  474.92  280.17
H4  3669.50 -204.66  124.84   32.34  172.75
H4  -204.66   86.01  -52.33  -54.33  -61.16
H4   124.84  -52.33  161.16   98.16   71.76
H4    32.34  -54.33   98.16  128.16   89.76
H4   172.75  -61.16   71.76   89.76   73.51
E   1326.00   36.00  284.65   66.67  -90.67
E     36.00   95.98   59.33   53.34   49.33
E    284.65   59.33  411.34  117.67   57.66
E     66.67   53.34  117.67  342.68  276.32
E    -90.67   49.33   57.66  276.32  385.32

X5.9.6        30     6 FORMAT
) Data from Morrison p. 227
) Col. is all 1's, cols 2,3 code for groups with group 3
) -1 on both. Cols. 4-6 are three response variables
(6F3.0)
  1  0  0 54 52 60
  1  0  0 70 72 73
  1  0  0 59 65 66
  1  0  0 60 61 62
  1  0  0 50 53 60
  1  0  0 67 65 71
  1  0  0 62 63 64
  1  0  0 61 62 63
  1  0  0 63 62 65
  1  0  0 58 59 58
  1  1  0 58 70 74
  1  1  0 61 68 73
  1  1  0 63 70 76
  1  1  0 56 65 69
  1  1  0 70 72 74
  1  1  0 60 68 71
  1  1  0 57 60 68
  1  1  0 60 61 65
  1  1  0 55 62 72
  1  1  0 62 71 76
  1 -1 -1 70 75 82
  1 -1 -1 75 81 92
  1 -1 -1 68 78 83
  1 -1 -1 54 70 76
  1 -1 -1 60 67 72
  1 -1 -1 63 71 77
  1 -1 -1 71 76 90
  1 -1 -1 65 69 75
  1 -1 -1 67 73 80
  1 -1 -1 63 66 71

X5.9.7        45     4 FORMAT  LABELS
) Data from Morrison p. 228.
) Data on 45 cancer patients trained to operate a psychomotor
) testing device.  Each data value is the mean of 4 trials
) on days 1, 2, and 3 after radiation therapy.
) The patients were divided into 4 groups according to radiation
) dosage.
) Group 1 was a control and received no radiation (n1 = 6).
) Group 2 received 25-50 rad (n2=14)
) Group 3 received 75-100 rad (n3 = 15)
) Group 4 received 125-150 rad (n4=10)
) Col. 1: Group (dosage) number 1 - 4
) Col. 2: Response on day 1 after radiation therapy
) Col. 3: Response on day 2 after radiation therapy
) Col. 4: Response on day 3 after radiation therapy
)"%lf %lf %lf %lf"
(f3.0,3f4.0)
  1 223 242 248
  1  72  81  66
  1 172 214 239
  1 171 191 203
  1 138 204 213
  1  22  24  24
  2  53 102 104
  2  45  50  54
  2  47  45  34
  2 167 188 209
  2 193 206 210
  2  91 154 152
  2 115 133 136
  2  32  97  86
  2  38  37  40
  2  66 131 148
  2 210 221 251
  2 167 172 212
  2  23  18  30
  2 234 260 269
  3 206 199 237
  3 208 222 237
  3 224 224 261
  3 119 149 196
  3 144 169 164
  3 170 202 181
  3  93 122 145
  3 237 243 281
  3 208 235 249
  3 187 199 205
  3  95 102  96
  3  46  67  28
  3  95 137  99
  3  59  76 101
  3 186 198 201
  4 202 229 232
  4 126 159 157
  4  54  75  75
  4 158 168 175
  4 175 217 235
  4 147 183 181
  4 105 107  92
  4 213 263 260
  4 258 248 257
  4 257 269 270

X5.9.7$labels         5     COLUMNS  QUOTED
)"%s %s %s %s %s"
"@"    "Group"  "Day 3"   "Day 2"  "Day 3"

X6.6.4        18     5 FORMAT
) Data from exercise 6.6.4 on p. 246 of Morrison
) Col. 1: a = dummy variable (1,0,-1) for group a
) Col. 2: b = dummy variable (0,1,-1) for group b
) Col. 3-5: x1, x2, x3
) n1 = n2 = n3 = 6
(F2.0,4F3.0)
 1  0  6  7  4
 1  0  7  5  1
 1  0  9 10 11
 1  0  8  8  6
 1  0  8  9  6
 1  0 10  9  8
 0  1 11 13 30
 0  1 15 16 42
 0  1 22 20 50
 0  1 17 16 45
 0  1 12 11 38
 0  1 13 14 35
-1 -1 18 16 25
-1 -1 24 22 30
-1 -1 20 21 32
-1 -1 10 29 27
-1 -1 22 25 34
-1 -1 17 16 32

P257           4     4 FORMAT
) 4 by 4 correlation matrix from Example 7.4, Morrison p. 257
) n = 933
(F5.2,3F6.2)
 1.00  0.45 -0.19  0.43
 0.45  1.00 -0.02  0.62
-0.19 -0.02  1.00 -0.29
 0.43  0.62 -0.29  1.00

P282           4     4 FORMAT
) 4 by 4 correlation of fowl bone measurements
) n = 276
(F5.3,3FD6.3)
1.000 0.940 0.875 0.878
0.940 1.000 0.877 0.886
0.875 0.877 1.000 0.924
0.878 0.886 0.924 1.000

X8.8.2         5     5 FORMAT
) 4 BY 4 CORRELATION MATRIX FROM EXERCISE 8.1.1
) MORRISON P. 299
) N = 64
(F4.2,3F5.2)
1.00 0.71 0.58 0.56 0.65
0.71 1.00 0.71 0.60 0.69
0.58 0.71 1.00 0.75 0.71
0.56 0.60 0.75 1.00 0.74
0.65 0.69 0.71 0.74 1.00