>USE "C:\science\Nzi\Canada\2008\farm4\farm4.syd"
SYSTAT Rectangular file C:\science\\Nzi\Canada\2008\farm4\farm4.syd,
created Mon Jun 23, 2008 at 19:11:28, contains variables:
 ANOPHELES    CULISETA     CULEX        AEDES        STOMOXYS     MOSQUITOES
 HAEMATOBIA   HYBOMITRA    TABANUS      LEUCOTABANUS CHRYSOPS     TABANIDAE
 MALETAB      EXPTID$      PERSON$      COUNTRY$     PROVINCE$    CITY$
 LOCATION$    LATITUDE$    LONGITUDE$   ELEVATION    HABITAT$     COMMENT
 EXPTID2$     DATECHK      REPLICATE    SITE         TYPE$        ODOURS$
 SEQ          COMMEXPT$    COMMTRAP     COMMODOURS$  EXPTYPE$     CAGE$
 SCREEN       SIDE         ORIENTATION$ CONFIGURATIO SURFACE      HEIGHT
 RISK         HRSET        HRCHK        WEATHER$     MINT         MAXT
 RAIN2        WIND         EXPTID3$     DATECHK2     REPLICATE2   SITE2
 TYPE2$       ODOURS2$     STCALM       STCALF       STCALX       HAIRRM
 HAIRRF       HAIRRX       HAALCM       HAALCF       HAALCX       AEDESF
 AEDORF       AEVEXF       AESTIF       CULEXF       CUPIPF       CULISETAF
 CUINOF       ANOPHELESF   ANPUNF       MOSQM        MOSQF        NOSEEUM
 SIMULIIDAE   EXPTID4$     DATECHK3     REPLICATE3   SITE3        TYPE3$
 ODOURS3$     TABFEMALE    TABMALE      HYBOX        HYLASF       HYLASM
 HYILLF       HYTREF       HYFROF       HYEPIF       HYPEDF       HYLURF
 HYNITF       HYAURF       HYAFFF       HYARPF       TABANUSF     TASIMF
 TASIMM       TAQUIF       TAQUIM       TAREIF       TAREIM       TALINF
 TANOVF       TANOVM       TAFUSF       TALIMF       TANIGF       LEUCOX
 LEANNF       POTAX        ATYLOTUSX    CHRYSOPSX    CHMITF       CHCINF
 CHCINM       CHFRIF       CHAESF       CHCALF       CHINDF       CHMONF
 CHABEF       CHUNIF       CHMOEF       CHVITF       CHLATF       CHSTRF
 CHZINF       CHDAWF       CHEXCF       CHATEF       CHFURF       GASTX
 GAINTF       GAINTM       GAHAEF       GAHAEM       GANASF       GANASM
 DATE         MIN          MAX          RAIN         DAYAVG       DAYSD
 DAYRH        DAYWIND      MONTH        DAY          YEAR         EXPREP

>REM	LOG(X+1) TRANSFORMATION APPLIED TO ALL VARIABLES IN EXCEL
>REM	CONFIRM THAT LSQ MEANS = EXCEL PIVOT TABLE MEANS TO CATCH TYPOS
>REM	FIRST 6 TRAP CHECKS WITH SAME SET OF TRAPS WHILE URINE ROTATED
>REM	DUD TRAPS WERE EXCHANGED FOR CHECKS 7&8 SO DATA EXCLUDED
>Select exprep < 4
>PRINT MEDIUM
>REM	---------------------------------------------------
>REM	All Tabanidae
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$ exprep
>MODEL Tabanidae = CONSTANT + TYPE$+ site + seq

>ESTIMATE
Data for the following results were selected according to:
      exprep < 4
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
REPLICATE (18 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12,       13,       14,
         15,       16,       17,       18
SEQ (6 levels)
          1,        2,        3,        4,        5,        6
TYPE$ (12 levels)
   NZI-COT, NZI-SIDE-SOL, NZI-TNB-BIO-, NZI-TNB-FORE, NZI-TNB-MIRR,
   NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TNB-TARG, NZI-TNB-TNO, NZI-TNO-TNB,
   NZI-TURQ-CIB, NZI-TURQ4MG
ODOURS$ (2 levels)
   COW1, UNBAIT
EXPREP (3 levels)
          1,        2,        3
 
Dep Var: TABANIDAE   N: 71   Multiple R: 0.9547   Squared multiple R: 0.9114
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     8.6294    11       0.7845     12.9975      0.0000
SITE                      1.1134    11       0.1012      1.6770      0.1117
SEQ                      15.7292     5       3.1458     52.1208      0.0000
                                                                                                                                                                                                        
Error                     2.5953    43       0.0604

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.1049       0.1427       6
  TYPE$       =NZI-SIDE-SOL       0.4525       0.1518       5
  TYPE$       =NZI-TNB-BIO-       0.8812       0.1424       6
  TYPE$       =NZI-TNB-FORE       0.7934       0.1413       6
  TYPE$       =NZI-TNB-MIRR       0.5545       0.1418       6
  TYPE$       =NZI-TNB-NAVY       1.0173       0.1414       6
  TYPE$       =NZI-TNB-STAG       0.8424       0.1425       6
  TYPE$       =NZI-TNB-TARG       0.4433       0.1440       6
  TYPE$       =NZI-TNB-TNO        0.5812       0.1421       6
  TYPE$       =NZI-TNO-TNB        0.3068       0.1449       6
  TYPE$       =NZI-TURQ-CIB       1.6271       0.1438       6
  TYPE$       =NZI-TURQ4MG        1.3874       0.1415       6

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =1                  0.6701       0.1425       6
  SITE        =2                  1.0672       0.1438       6
  SITE        =3                  0.9852       0.1440       6
  SITE        =4                  0.9135       0.1518       5
  SITE        =5                  0.7234       0.1424       6
  SITE        =6                  0.5680       0.1449       6
  SITE        =7                  0.6549       0.1427       6
  SITE        =8                  1.0530       0.1421       6
  SITE        =9                  0.8792       0.1415       6
  SITE        =10                 0.9550       0.1413       6
  SITE        =11                 0.7377       0.1414       6
  SITE        =12                 0.7847       0.1418       6

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.3799       0.0709      12
  SEQ         =2                  0.5042       0.0757      11
  SEQ         =3                  0.4333       0.0709      12
  SEQ         =4                  0.8790       0.0709      12
  SEQ         =5                  1.0785       0.0709      12
  SEQ         =6                  1.7211       0.0709      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.0748
First Order Autocorrelation      -0.0817
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-SIDE-SOL
  3  NZI-TNB-BIO-
  4  NZI-TNB-FORE
  5  NZI-TNB-MIRR
  6  NZI-TNB-NAVY
  7  NZI-TNB-STAG
  8  NZI-TNB-TARG
  9  NZI-TNB-TNO
 10  NZI-TNO-TNB
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.060 with 43 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.6523      0.0000
             3         -0.2237      0.4287      0.0000
             4         -0.3114      0.3409     -0.0878      0.0000
             5         -0.5504      0.1019     -0.3268     -0.2390      0.0000
             6         -0.0876      0.5648      0.1361      0.2239      0.4629      0.0000
             7         -0.2625      0.3898     -0.0388      0.0489      0.2879     -0.1749      0.0000
             8         -0.6616     -0.0093     -0.4380     -0.3502     -0.1112     -0.5740     -0.3991      0.0000
             9         -0.5236      0.1287     -0.3000     -0.2122      0.0268     -0.4361     -0.2611      0.1380      0.0000
            10         -0.7981     -0.1458     -0.5745     -0.4867     -0.2477     -0.7106     -0.5356     -0.1365     -0.2745
            11          0.5222      1.1745      0.7459      0.8336      1.0726      0.6098      0.7847      1.1838      1.0458
            12          0.2825      0.9348      0.5062      0.5939      0.8329      0.3701      0.5450      0.9441      0.8061

                        10          11          12
            10          0.0000
            11          1.3203      0.0000
            12          1.0806     -0.2397      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.1558      1.0000
             3          0.9836      0.3867      1.0000
             4          0.9329      0.9517      1.0000      1.0000
             5          0.4441      1.0000      0.9549      0.9736      1.0000
             6          1.0000      0.4257      1.0000      0.9533      0.1659      1.0000
             7          0.9923      0.7792      1.0000      1.0000      0.7961      0.9979      1.0000
             8          0.1681      1.0000      0.4709      0.9287      1.0000      0.3203      0.5675      1.0000
             9          0.0697      1.0000      0.9460      0.9893      1.0000      0.6273      0.9917      1.0000      1.0000
            10          0.0005      0.9998      0.0321      0.5723      0.9954      0.1281      0.5066      1.0000      0.9329
            11          0.5391      0.0000      0.0417      0.0237      0.0000      0.1662      0.0006      0.0000      0.0033
            12          0.9184      0.0143      0.5008      0.0223      0.0114      0.6749      0.3984      0.0110      0.0004

                        10          11          12
            10          1.0000
            11          0.0001      1.0000
            12          0.0003      0.9959      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$ exprep
>MODEL Hybomitra = CONSTANT + TYPE$+ site + seq

>ESTIMATE
Data for the following results were selected according to:
      exprep < 4
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
REPLICATE (18 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12,       13,       14,
         15,       16,       17,       18
SEQ (6 levels)
          1,        2,        3,        4,        5,        6
TYPE$ (12 levels)
   NZI-COT, NZI-SIDE-SOL, NZI-TNB-BIO-, NZI-TNB-FORE, NZI-TNB-MIRR,
   NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TNB-TARG, NZI-TNB-TNO, NZI-TNO-TNB,
   NZI-TURQ-CIB, NZI-TURQ4MG
ODOURS$ (2 levels)
   COW1, UNBAIT
EXPREP (3 levels)
          1,        2,        3
 
Dep Var: HYBOMITRA   N: 71   Multiple R: 0.9509   Squared multiple R: 0.9042
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     8.9010    11       0.8092     12.4440      0.0000
SITE                      1.3041    11       0.1186      1.8232      0.0795
SEQ                      15.0983     5       3.0197     46.4376      0.0000
                                                                                                                                                                                                        
Error                     2.7961    43       0.0650

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.0848       0.1481       6
  TYPE$       =NZI-SIDE-SOL       0.4635       0.1576       5
  TYPE$       =NZI-TNB-BIO-       0.8557       0.1478       6
  TYPE$       =NZI-TNB-FORE       0.7219       0.1467       6
  TYPE$       =NZI-TNB-MIRR       0.5361       0.1472       6
  TYPE$       =NZI-TNB-NAVY       0.9811       0.1468       6
  TYPE$       =NZI-TNB-STAG       0.8324       0.1479       6
  TYPE$       =NZI-TNB-TARG       0.4641       0.1494       6
  TYPE$       =NZI-TNB-TNO        0.5099       0.1475       6
  TYPE$       =NZI-TNO-TNB        0.2740       0.1504       6
  TYPE$       =NZI-TURQ-CIB       1.6258       0.1493       6
  TYPE$       =NZI-TURQ4MG        1.3849       0.1469       6

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =1                  0.6222       0.1479       6
  SITE        =2                  1.0571       0.1493       6
  SITE        =3                  0.9615       0.1494       6
  SITE        =4                  0.9024       0.1576       5
  SITE        =5                  0.6733       0.1478       6
  SITE        =6                  0.5158       0.1504       6
  SITE        =7                  0.6302       0.1481       6
  SITE        =8                  1.0373       0.1475       6
  SITE        =9                  0.8697       0.1469       6
  SITE        =10                 0.9634       0.1467       6
  SITE        =11                 0.7048       0.1468       6
  SITE        =12                 0.7964       0.1472       6

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.3761       0.0736      12
  SEQ         =2                  0.4959       0.0786      11
  SEQ         =3                  0.4291       0.0736      12
  SEQ         =4                  0.8213       0.0736      12
  SEQ         =5                  1.0514       0.0736      12
  SEQ         =6                  1.6933       0.0736      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.1937
First Order Autocorrelation      -0.1400
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-SIDE-SOL
  3  NZI-TNB-BIO-
  4  NZI-TNB-FORE
  5  NZI-TNB-MIRR
  6  NZI-TNB-NAVY
  7  NZI-TNB-STAG
  8  NZI-TNB-TARG
  9  NZI-TNB-TNO
 10  NZI-TNO-TNB
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYBOMITRA

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.065 with 43 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.6213      0.0000
             3         -0.2290      0.3923      0.0000
             4         -0.3628      0.2585     -0.1338      0.0000
             5         -0.5487      0.0726     -0.3196     -0.1858      0.0000
             6         -0.1037      0.5176      0.1253      0.2591      0.4450      0.0000
             7         -0.2524      0.3689     -0.0234      0.1105      0.2963     -0.1487      0.0000
             8         -0.6207      0.0006     -0.3916     -0.2578     -0.0720     -0.5169     -0.3683      0.0000
             9         -0.5749      0.0464     -0.3459     -0.2120     -0.0262     -0.4712     -0.3225      0.0458      0.0000
            10         -0.8107     -0.1894     -0.5817     -0.4479     -0.2620     -0.7070     -0.5583     -0.1901     -0.2358
            11          0.5410      1.1623      0.7701      0.9039      1.0897      0.6447      0.7934      1.1617      1.1159
            12          0.3002      0.9215      0.5292      0.6630      0.8488      0.4039      0.5525      0.9208      0.8750

                        10          11          12
            10          0.0000
            11          1.3517      0.0000
            12          1.1109     -0.2409      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.2523      1.0000
             3          0.9852      0.5754      1.0000
             4          0.8663      0.9956      1.0000      1.0000
             5          0.5053      1.0000      0.9702      0.9974      1.0000
             6          1.0000      0.6109      1.0000      0.9064      0.2535      1.0000
             7          0.9959      0.8627      1.0000      1.0000      0.8046      0.9997      1.0000
             8          0.2883      1.0000      0.6849      0.9944      1.0000      0.5310      0.7262      1.0000
             9          0.0434      1.0000      0.8960      0.9921      1.0000      0.5698      0.9687      1.0000      1.0000
            10          0.0007      0.9988      0.0404      0.7332      0.9946      0.1676      0.5002      0.9993      0.9821
            11          0.5419      0.0000      0.0438      0.0150      0.0001      0.1482      0.0009      0.0000      0.0022
            12          0.9060      0.0245      0.4899      0.0101      0.0139      0.6062      0.4336      0.0216      0.0002

                        10          11          12
            10          1.0000
            11          0.0001      1.0000
            12          0.0004      0.9969      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra lasiophthalma
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$ exprep
>MODEL hylasf = CONSTANT + TYPE$+ site + seq

>ESTIMATE
Data for the following results were selected according to:
      exprep < 4
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
REPLICATE (18 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12,       13,       14,
         15,       16,       17,       18
SEQ (6 levels)
          1,        2,        3,        4,        5,        6
TYPE$ (12 levels)
   NZI-COT, NZI-SIDE-SOL, NZI-TNB-BIO-, NZI-TNB-FORE, NZI-TNB-MIRR,
   NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TNB-TARG, NZI-TNB-TNO, NZI-TNO-TNB,
   NZI-TURQ-CIB, NZI-TURQ4MG
ODOURS$ (2 levels)
   COW1, UNBAIT
EXPREP (3 levels)
          1,        2,        3
 
Dep Var: HYLASF   N: 71   Multiple R: 0.9545   Squared multiple R: 0.9110
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     8.0133    11       0.7285     10.6210      0.0000
SITE                      1.4366    11       0.1306      1.9041      0.0657
SEQ                      20.2836     5       4.0567     59.1460      0.0000
                                                                                                                                                                                                        
Error                     2.9493    43       0.0686

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.9387       0.1521       6
  TYPE$       =NZI-SIDE-SOL       0.4611       0.1618       5
  TYPE$       =NZI-TNB-BIO-       0.7262       0.1518       6
  TYPE$       =NZI-TNB-FORE       0.5400       0.1506       6
  TYPE$       =NZI-TNB-MIRR       0.4540       0.1512       6
  TYPE$       =NZI-TNB-NAVY       0.8668       0.1508       6
  TYPE$       =NZI-TNB-STAG       0.9607       0.1519       6
  TYPE$       =NZI-TNB-TARG       0.5369       0.1535       6
  TYPE$       =NZI-TNB-TNO        0.3073       0.1515       6
  TYPE$       =NZI-TNO-TNB        0.1868       0.1545       6
  TYPE$       =NZI-TURQ-CIB       1.6145       0.1533       6
  TYPE$       =NZI-TURQ4MG        1.1081       0.1509       6

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =1                  0.7044       0.1519       6
  SITE        =2                  1.0883       0.1533       6
  SITE        =3                  0.8994       0.1535       6
  SITE        =4                  0.8742       0.1618       5
  SITE        =5                  0.6070       0.1518       6
  SITE        =6                  0.2948       0.1545       6
  SITE        =7                  0.4410       0.1521       6
  SITE        =8                  0.7842       0.1515       6
  SITE        =9                  0.6075       0.1509       6
  SITE        =10                 0.8765       0.1506       6
  SITE        =11                 0.6496       0.1508       6
  SITE        =12                 0.8743       0.1512       6

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.0393       0.0756      12
  SEQ         =2                  0.3885       0.0807      11
  SEQ         =3                  0.4088       0.0756      12
  SEQ         =4                  0.7919       0.0756      12
  SEQ         =5                  1.0389       0.0756      12
  SEQ         =6                  1.6832       0.0756      12

----------------------------------------------------------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.4865
First Order Autocorrelation      -0.2818
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-SIDE-SOL
  3  NZI-TNB-BIO-
  4  NZI-TNB-FORE
  5  NZI-TNB-MIRR
  6  NZI-TNB-NAVY
  7  NZI-TNB-STAG
  8  NZI-TNB-TARG
  9  NZI-TNB-TNO
 10  NZI-TNO-TNB
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYLASF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.069 with 43 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2         -0.4776      0.0000
             3         -0.2126      0.2650      0.0000
             4         -0.3987      0.0788     -0.1862      0.0000
             5         -0.4848     -0.0072     -0.2722     -0.0860      0.0000
             6         -0.0719      0.4057      0.1407      0.3269      0.4129      0.0000
             7          0.0220      0.4996      0.2346      0.4207      0.5068      0.0939      0.0000
             8         -0.4018      0.0757     -0.1893     -0.0031      0.0829     -0.3300     -0.4238      0.0000
             9         -0.6314     -0.1538     -0.4188     -0.2326     -0.1466     -0.5595     -0.6534     -0.2295      0.0000
            10         -0.7519     -0.2743     -0.5393     -0.3532     -0.2671     -0.6800     -0.7739     -0.3501     -0.1205
            11          0.6758      1.1534      0.8883      1.0745      1.1605      0.7477      0.6538      1.0776      1.3072
            12          0.1694      0.6470      0.3819      0.5681      0.6541      0.2413      0.1474      0.5712      0.8007

                        10          11          12
            10          0.0000
            11          1.4277      0.0000
            12          0.9213     -0.5064      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          0.6687      1.0000
             3          0.9934      0.9505      1.0000
             4          0.8090      1.0000      0.9998      1.0000
             5          0.7153      1.0000      0.9930      1.0000      1.0000
             6          1.0000      0.8924      1.0000      0.7271      0.3949      1.0000
             7          1.0000      0.5390      0.9974      0.7535      0.1403      1.0000      1.0000
             8          0.8730      1.0000      0.9981      1.0000      1.0000      0.9588      0.5731      1.0000
             9          0.0229      1.0000      0.7537      0.9867      1.0000      0.3532      0.2896      0.9985      1.0000
            10          0.0030      0.9784      0.0935      0.9371      0.9949      0.2416      0.1189      0.9252      1.0000
            11          0.2580      0.0000      0.0138      0.0025      0.0000      0.0612      0.0160      0.0000      0.0003
            12          0.9991      0.3395      0.8927      0.0606      0.1593      0.9824      1.0000      0.5048      0.0012

                        10          11          12
            10          1.0000
            11          0.0000      1.0000
            12          0.0076      0.6611      1.0000

----------------------------------------------------------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra nitidifrons nuda
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$ exprep
>MODEL hynitf = CONSTANT + TYPE$+ site + seq

>ESTIMATE
Data for the following results were selected according to:
      exprep < 4
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (12 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12
REPLICATE (18 levels)
          1,        2,        3,        4,        5,        6,        7,
          8,        9,       10,       11,       12,       13,       14,
         15,       16,       17,       18
SEQ (6 levels)
          1,        2,        3,        4,        5,        6
TYPE$ (12 levels)
   NZI-COT, NZI-SIDE-SOL, NZI-TNB-BIO-, NZI-TNB-FORE, NZI-TNB-MIRR,
   NZI-TNB-NAVY, NZI-TNB-STAG, NZI-TNB-TARG, NZI-TNB-TNO, NZI-TNO-TNB,
   NZI-TURQ-CIB, NZI-TURQ4MG
ODOURS$ (2 levels)
   COW1, UNBAIT
EXPREP (3 levels)
          1,        2,        3
 
Dep Var: HYNITF   N: 71   Multiple R: 0.8867   Squared multiple R: 0.7863
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     2.4955    11       0.2269      7.7639      0.0000
SITE                      0.7003    11       0.0637      2.1788      0.0342
SEQ                       0.6304     5       0.1261      4.3149      0.0029
                                                                                                                                                                                                        
Error                     1.2565    43       0.0292

----------------------------------------------------------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.1757       0.0993       6
  TYPE$       =NZI-SIDE-SOL       0.1936       0.1056       5
  TYPE$       =NZI-TNB-BIO-       0.2327       0.0991       6
  TYPE$       =NZI-TNB-FORE       0.0894       0.0983       6
  TYPE$       =NZI-TNB-MIRR      -0.0964       0.0987       6
  TYPE$       =NZI-TNB-NAVY       0.1290       0.0984       6
  TYPE$       =NZI-TNB-STAG      -0.0564       0.0992       6
  TYPE$       =NZI-TNB-TARG       0.1116       0.1002       6
  TYPE$       =NZI-TNB-TNO        0.1675       0.0989       6
  TYPE$       =NZI-TNO-TNB        0.1050       0.1008       6
  TYPE$       =NZI-TURQ-CIB       0.7488       0.1001       6
  TYPE$       =NZI-TURQ4MG        0.3618       0.0985       6

----------------------------------------------------------------------------------------------------------------------------------
  SITE        =1                  0.0749       0.0992       6
  SITE        =2                  0.0601       0.1001       6
  SITE        =3                  0.1170       0.1002       6
  SITE        =4                  0.0485       0.1056       5
  SITE        =5                  0.0009       0.0991       6
  SITE        =6                  0.0465       0.1008       6
  SITE        =7                  0.1584       0.0993       6
  SITE        =8                  0.4976       0.0989       6
  SITE        =9                  0.5053       0.0985       6
  SITE        =10                 0.2958       0.0983       6
  SITE        =11                 0.3040       0.0984       6
  SITE        =12                 0.0535       0.0987       6

----------------------------------------------------------------------------------------------------------------------------------
  SEQ         =1                  0.3243       0.0493      12
  SEQ         =2                  0.2656       0.0527      11
  SEQ         =3                  0.0985       0.0493      12
  SEQ         =4                  0.0582       0.0493      12
  SEQ         =5                  0.1254       0.0493      12
  SEQ         =6                  0.2092       0.0493      12

----------------------------------------------------------------------------------------------------------------------------------
*** WARNING ***
Case            6 is an outlier        (Studentized Residual =      -3.2973)
 
Durbin-Watson D Statistic         1.6244
First Order Autocorrelation       0.1695
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-SIDE-SOL
  3  NZI-TNB-BIO-
  4  NZI-TNB-FORE
  5  NZI-TNB-MIRR
  6  NZI-TNB-NAVY
  7  NZI-TNB-STAG
  8  NZI-TNB-TARG
  9  NZI-TNB-TNO
 10  NZI-TNO-TNB
 11  NZI-TURQ-CIB
 12  NZI-TURQ4MG
Using least squares means.
Post Hoc test of HYNITF

>TEST
 
----------------------------------------------------------------------------------------------------------------------------------
Using model MSE of 0.029 with 43 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4           5           6           7           8           9
             1          0.0000
             2          0.0179      0.0000
             3          0.0570      0.0391      0.0000
             4         -0.0863     -0.1042     -0.1433      0.0000
             5         -0.2721     -0.2900     -0.3291     -0.1858      0.0000
             6         -0.0467     -0.0646     -0.1037      0.0396      0.2254      0.0000
             7         -0.2321     -0.2500     -0.2891     -0.1458      0.0400     -0.1854      0.0000
             8         -0.0641     -0.0820     -0.1211      0.0222      0.2080     -0.0174      0.1680      0.0000
             9         -0.0082     -0.0261     -0.0652      0.0781      0.2639      0.0385      0.2239      0.0559      0.0000
            10         -0.0707     -0.0886     -0.1277      0.0156      0.2014     -0.0240      0.1613     -0.0066     -0.0626
            11          0.5731      0.5552      0.5161      0.6594      0.8452      0.6198      0.8051      0.6372      0.5812
            12          0.1861      0.1682      0.1291      0.2724      0.4582      0.2328      0.4182      0.2502      0.1943

                        10          11          12
            10          0.0000
            11          0.6438      0.0000
            12          0.2568     -0.3870      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4           5           6           7           8           9
             1          1.0000
             2          1.0000      1.0000
             3          1.0000      1.0000      1.0000
             4          1.0000      1.0000      0.9988      1.0000
             5          0.8644      0.7819      0.6633      0.9432      1.0000
             6          1.0000      1.0000      1.0000      1.0000      0.6572      1.0000
             7          0.9537      0.8544      0.7792      0.9967      1.0000      0.9439      1.0000
             8          1.0000      0.9998      0.9984      1.0000      0.9482      1.0000      0.9713      1.0000
             9          1.0000      1.0000      1.0000      1.0000      0.8572      1.0000      0.9599      1.0000      1.0000
            10          1.0000      1.0000      0.9895      1.0000      0.9839      1.0000      0.9973      1.0000      1.0000
            11          0.0427      0.0045      0.0439      0.0056      0.0000      0.0051      0.0000      0.0000      0.0401
            12          0.9424      0.9965      0.9994      0.3789      0.0993      0.7926      0.2613      0.9235      0.8255

                        10          11          12
            10          1.0000
            11          0.0102      1.0000
            12          0.8241      0.4305      1.0000

----------------------------------------------------------------------------------------------------------------------------------