>USE "C:\science\nzi\canada\2007\farm1\farm1.SYD"
SYSTAT Rectangular file C:\science\\nzi\canada\2007\farm1\farm1.SYD,
created Sun Aug 19, 2007 at 18:55:27, 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
 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

>PRINT MEDIUM
>REM CALCULATE ANOVAS BY MAJOR GROUPS, SPECIES AND SEXES
>REM	---------------------------------------------------
>REM	All Tabanidae
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TABANIDAE = CONSTANT + TYPE$+REPLICATE+Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TABANIDAE   N: 32   Multiple R: 0.9339   Squared multiple R: 0.8722
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2004     3       0.0668      4.4763      0.0162
REPLICATE                 0.4757     1       0.4757     31.8826      0.0000
SITE                      0.4249     3       0.1416      9.4929      0.0006
SEQ(REPLICATE)            0.7314     6       0.1219      8.1697      0.0002
                                                                                                                                                                                                        
Error                     0.2686    18       0.0149

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            3.0720       0.0432       8
  TYPE$       =NZI-COT-SUN-       3.0066       0.0432       8
  TYPE$       =NZI-SUN-BIO        3.1528       0.0432       8
  TYPE$       =NZI-SUN-ECO        2.9389       0.0432       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  2.9206       0.0305      16
  REPLICATE   =2                  3.1645       0.0305      16

-------------------------------------------------------------------------------
  SITE        =21                 3.2186       0.0432       8
  SITE        =22                 2.9863       0.0432       8
  SITE        =23                 2.9059       0.0432       8
  SITE        =24                 3.0595       0.0432       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.9091       0.0611       4
SEQ         =2           
  REPLICATE   =1                  2.9503       0.0611       4
SEQ         =3           
  REPLICATE   =1                  2.9369       0.0611       4
SEQ         =4           
  REPLICATE   =1                  2.8862       0.0611       4
SEQ         =5           
  REPLICATE   =2                  2.8163       0.0611       4
SEQ         =6           
  REPLICATE   =2                  3.3238       0.0611       4
SEQ         =7           
  REPLICATE   =2                  3.3481       0.0611       4
SEQ         =8           
  REPLICATE   =2                  3.1697       0.0611       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.2608
First Order Autocorrelation      -0.1900
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.015 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0655      0.0000
             3          0.0807      0.1462      0.0000
             4         -0.1331     -0.0676     -0.2138      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7105      1.0000
             3          0.5614      0.1142      1.0000
             4          0.1669      0.6898      0.0124      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Male Tabanidae
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL MaleTAB = CONSTANT + TYPE$+REPLICATE+Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: MALETAB   N: 32   Multiple R: 0.9378   Squared multiple R: 0.8795
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0736     3       0.0245      0.4609      0.7130
REPLICATE                 3.0093     1       3.0093     56.5603      0.0000
SITE                      1.4418     3       0.4806      9.0329      0.0007
SEQ(REPLICATE)            2.4685     6       0.4114      7.7327      0.0003
                                                                                                                                                                                                        
Error                     0.9577    18       0.0532

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.4539       0.0816       8
  TYPE$       =NZI-COT-SUN-       0.4140       0.0816       8
  TYPE$       =NZI-SUN-BIO        0.4744       0.0816       8
  TYPE$       =NZI-SUN-ECO        0.3487       0.0816       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.1161       0.0577      16
  REPLICATE   =2                  0.7294       0.0577      16

-------------------------------------------------------------------------------
  SITE        =21                 0.2720       0.0816       8
  SITE        =22                 0.3445       0.0816       8
  SITE        =23                 0.2871       0.0816       8
  SITE        =24                 0.7874       0.0816       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.0000       0.1153       4
SEQ         =2           
  REPLICATE   =1                  0.1193       0.1153       4
SEQ         =3           
  REPLICATE   =1                  0.1505       0.1153       4
SEQ         =4           
  REPLICATE   =1                  0.1945       0.1153       4
SEQ         =5           
  REPLICATE   =2                  0.1945       0.1153       4
SEQ         =6           
  REPLICATE   =2                  0.5455       0.1153       4
SEQ         =7           
  REPLICATE   =2                  1.1838       0.1153       4
SEQ         =8           
  REPLICATE   =2                  0.9939       0.1153       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.6803
First Order Autocorrelation      -0.3765
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of MALETAB

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.053 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0398      0.0000
             3          0.0205      0.0604      0.0000
             4         -0.1052     -0.0653     -0.1257      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9854      1.0000
             3          0.9979      0.9523      1.0000
             4          0.7988      0.9408      0.7000      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra genus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HYBOMITRA = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: HYBOMITRA   N: 32   Multiple R: 0.9769   Squared multiple R: 0.9542
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2064     3       0.0688      1.1394      0.3599
REPLICATE                14.1413     1      14.1413    234.2407      0.0000
SITE                      0.1275     3       0.0425      0.7038      0.5621
SEQ(REPLICATE)            8.1846     6       1.3641     22.5953      0.0000
                                                                                                                                                                                                        
Error                     1.0867    18       0.0604

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.0913       0.0869       8
  TYPE$       =NZI-COT-SUN-       0.9784       0.0869       8
  TYPE$       =NZI-SUN-BIO        1.0748       0.0869       8
  TYPE$       =NZI-SUN-ECO        0.8917       0.0869       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.6738       0.0614      16
  REPLICATE   =2                  0.3443       0.0614      16

-------------------------------------------------------------------------------
  SITE        =21                 1.1026       0.0869       8
  SITE        =22                 1.0097       0.0869       8
  SITE        =23                 0.9249       0.0869       8
  SITE        =24                 0.9989       0.0869       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.4875       0.1229       4
SEQ         =2           
  REPLICATE   =1                  2.1093       0.1229       4
SEQ         =3           
  REPLICATE   =1                  1.2834       0.1229       4
SEQ         =4           
  REPLICATE   =1                  0.8150       0.1229       4
SEQ         =5           
  REPLICATE   =2                  0.5708       0.1229       4
SEQ         =6           
  REPLICATE   =2                  0.0000       0.1229       4
SEQ         =7           
  REPLICATE   =2                  0.1505       0.1229       4
SEQ         =8           
  REPLICATE   =2                  0.6558       0.1229       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           26 is an outlier        (Studentized Residual =       3.2233)
 
Durbin-Watson D Statistic         2.0945
First Order Autocorrelation      -0.1100
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of HYBOMITRA

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.060 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1129      0.0000
             3         -0.0165      0.0964      0.0000
             4         -0.1996     -0.0867     -0.1831      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7951      1.0000
             3          0.9991      0.8603      1.0000
             4          0.3906      0.8936      0.4633      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra lasiophthalma Females
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HYLASF = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: HYLASF   N: 32   Multiple R: 0.9828   Squared multiple R: 0.9658
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.3254     3       0.1085      2.0294      0.1458
REPLICATE                14.4886     1      14.4886    271.1128      0.0000
SITE                      0.3628     3       0.1209      2.2630      0.1159
SEQ(REPLICATE)           12.0119     6       2.0020     37.4615      0.0000
                                                                                                                                                                                                        
Error                     0.9619    18       0.0534

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.8463       0.0817       8
  TYPE$       =NZI-COT-SUN-       0.5978       0.0817       8
  TYPE$       =NZI-SUN-BIO        0.8058       0.0817       8
  TYPE$       =NZI-SUN-ECO        0.6673       0.0817       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.4022       0.0578      16
  REPLICATE   =2                  0.0564       0.0578      16

-------------------------------------------------------------------------------
  SITE        =21                 0.8878       0.0817       8
  SITE        =22                 0.5975       0.0817       8
  SITE        =23                 0.6807       0.0817       8
  SITE        =24                 0.7514       0.0817       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.4411       0.1156       4
SEQ         =2           
  REPLICATE   =1                  1.9961       0.1156       4
SEQ         =3           
  REPLICATE   =1                  0.9018       0.1156       4
SEQ         =4           
  REPLICATE   =1                  0.2698       0.1156       4
SEQ         =5           
  REPLICATE   =2                  0.2258       0.1156       4
SEQ         =6           
  REPLICATE   =2                  0.0000       0.1156       4
SEQ         =7           
  REPLICATE   =2                  0.0000       0.1156       4
SEQ         =8           
  REPLICATE   =2                  0.0000       0.1156       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.8767
First Order Autocorrelation       0.0216
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of HYLASF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.053 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2485      0.0000
             3         -0.0405      0.2080      0.0000
             4         -0.1790      0.0695     -0.1385      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.1755      1.0000
             3          0.9848      0.3057      1.0000
             4          0.4311      0.9304      0.6356      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus genus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TABANUS = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TABANUS   N: 32   Multiple R: 0.9467   Squared multiple R: 0.8962
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2073     3       0.0691      4.4860      0.0161
REPLICATE                 0.8784     1       0.8784     57.0196      0.0000
SITE                      0.4079     3       0.1360      8.8270      0.0008
SEQ(REPLICATE)            0.8997     6       0.1499      9.7336      0.0001
                                                                                                                                                                                                        
Error                     0.2773    18       0.0154

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            3.0217       0.0439       8
  TYPE$       =NZI-COT-SUN-       2.9734       0.0439       8
  TYPE$       =NZI-SUN-BIO        3.1054       0.0439       8
  TYPE$       =NZI-SUN-ECO        2.8830       0.0439       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  2.8302       0.0310      16
  REPLICATE   =2                  3.1615       0.0310      16

-------------------------------------------------------------------------------
  SITE        =21                 3.1625       0.0439       8
  SITE        =22                 2.9347       0.0439       8
  SITE        =23                 2.8597       0.0439       8
  SITE        =24                 3.0266       0.0439       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.6590       0.0621       4
SEQ         =2           
  REPLICATE   =1                  2.8661       0.0621       4
SEQ         =3           
  REPLICATE   =1                  2.9166       0.0621       4
SEQ         =4           
  REPLICATE   =1                  2.8791       0.0621       4
SEQ         =5           
  REPLICATE   =2                  2.8092       0.0621       4
SEQ         =6           
  REPLICATE   =2                  3.3227       0.0621       4
SEQ         =7           
  REPLICATE   =2                  3.3468       0.0621       4
SEQ         =8           
  REPLICATE   =2                  3.1676       0.0621       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.3215
First Order Autocorrelation      -0.1968
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TABANUS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.015 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0483      0.0000
             3          0.0838      0.1321      0.0000
             4         -0.1386     -0.0904     -0.2224      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8634      1.0000
             3          0.5447      0.1819      1.0000
             4          0.1518      0.4828      0.0104      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus similis females
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TASIMF = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TASIMF   N: 32   Multiple R: 0.9679   Squared multiple R: 0.9369
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.3014     3       0.1005      3.4972      0.0370
REPLICATE                 6.1744     1       6.1744    214.8998      0.0000
SITE                      0.3438     3       0.1146      3.9891      0.0243
SEQ(REPLICATE)            0.8597     6       0.1433      4.9870      0.0036
                                                                                                                                                                                                        
Error                     0.5172    18       0.0287

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.1805       0.0599       8
  TYPE$       =NZI-COT-SUN-       2.0289       0.0599       8
  TYPE$       =NZI-SUN-BIO        2.0761       0.0599       8
  TYPE$       =NZI-SUN-ECO        1.9103       0.0599       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  2.4882       0.0424      16
  REPLICATE   =2                  1.6097       0.0424      16

-------------------------------------------------------------------------------
  SITE        =21                 2.1909       0.0599       8
  SITE        =22                 1.9549       0.0599       8
  SITE        =23                 1.9449       0.0599       8
  SITE        =24                 2.1051       0.0599       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.6546       0.0848       4
SEQ         =2           
  REPLICATE   =1                  2.7127       0.0848       4
SEQ         =3           
  REPLICATE   =1                  2.3217       0.0848       4
SEQ         =4           
  REPLICATE   =1                  2.2639       0.0848       4
SEQ         =5           
  REPLICATE   =2                  1.8111       0.0848       4
SEQ         =6           
  REPLICATE   =2                  1.5151       0.0848       4
SEQ         =7           
  REPLICATE   =2                  1.5984       0.0848       4
SEQ         =8           
  REPLICATE   =2                  1.5141       0.0848       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.0867
First Order Autocorrelation      -0.1407
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TASIMF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.029 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1516      0.0000
             3         -0.1044      0.0473      0.0000
             4         -0.2702     -0.1186     -0.1659      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.3103      1.0000
             3          0.6158      0.9432      1.0000
             4          0.0239      0.5158      0.2405      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Tabanus quinquevittatus females
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL TAQUIF = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: TAQUIF   N: 32   Multiple R: 0.9940   Squared multiple R: 0.9881
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.3739     3       0.1246      8.7975      0.0008
REPLICATE                 8.0381     1       8.0381    567.3612      0.0000
SITE                      0.4233     3       0.1411      9.9590      0.0004
SEQ(REPLICATE)           12.2843     6       2.0474    144.5116      0.0000
                                                                                                                                                                                                        
Error                     0.2550    18       0.0142

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.6333       0.0421       8
  TYPE$       =NZI-COT-SUN-       2.6353       0.0421       8
  TYPE$       =NZI-SUN-BIO        2.7940       0.0421       8
  TYPE$       =NZI-SUN-ECO        2.4884       0.0421       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  2.1366       0.0298      16
  REPLICATE   =2                  3.1390       0.0298      16

-------------------------------------------------------------------------------
  SITE        =21                 2.8042       0.0421       8
  SITE        =22                 2.6334       0.0421       8
  SITE        =23                 2.4790       0.0421       8
  SITE        =24                 2.6344       0.0421       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.7068       0.0595       4
SEQ         =2           
  REPLICATE   =1                  2.3182       0.0595       4
SEQ         =3           
  REPLICATE   =1                  2.7703       0.0595       4
SEQ         =4           
  REPLICATE   =1                  2.7510       0.0595       4
SEQ         =5           
  REPLICATE   =2                  2.7560       0.0595       4
SEQ         =6           
  REPLICATE   =2                  3.3126       0.0595       4
SEQ         =7           
  REPLICATE   =2                  3.3337       0.0595       4
SEQ         =8           
  REPLICATE   =2                  3.1535       0.0595       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.5680
First Order Autocorrelation      -0.3163
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of TAQUIF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.014 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0020      0.0000
             3          0.1607      0.1586      0.0000
             4         -0.1449     -0.1469     -0.3056      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          1.0000      1.0000
             3          0.0641      0.0685      1.0000
             4          0.1059      0.0994      0.0004      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Chrysops genus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL CHRYSOPS = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: CHRYSOPS   N: 32   Multiple R: 0.9139   Squared multiple R: 0.8352
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1339     3       0.0446      1.1388      0.3601
REPLICATE                 1.9545     1       1.9545     49.8770      0.0000
SITE                      0.4704     3       0.1568      4.0015      0.0240
SEQ(REPLICATE)            1.0171     6       0.1695      4.3261      0.0071
                                                                                                                                                                                                        
Error                     0.7054    18       0.0392

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.0533       0.0700       8
  TYPE$       =NZI-COT-SUN-       1.0523       0.0700       8
  TYPE$       =NZI-SUN-BIO        0.9228       0.0700       8
  TYPE$       =NZI-SUN-ECO        0.9240       0.0700       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.2352       0.0495      16
  REPLICATE   =2                  0.7410       0.0495      16

-------------------------------------------------------------------------------
  SITE        =21                 1.0961       0.0700       8
  SITE        =22                 1.1154       0.0700       8
  SITE        =23                 0.9108       0.0700       8
  SITE        =24                 0.8301       0.0700       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.4648       0.0990       4
SEQ         =2           
  REPLICATE   =1                  1.3494       0.0990       4
SEQ         =3           
  REPLICATE   =1                  1.2532       0.0990       4
SEQ         =4           
  REPLICATE   =1                  0.8735       0.0990       4
SEQ         =5           
  REPLICATE   =2                  0.8701       0.0990       4
SEQ         =6           
  REPLICATE   =2                  0.8086       0.0990       4
SEQ         =7           
  REPLICATE   =2                  0.7341       0.0990       4
SEQ         =8           
  REPLICATE   =2                  0.5510       0.0990       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.7422
First Order Autocorrelation       0.0753
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of CHRYSOPS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.039 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0010      0.0000
             3         -0.1305     -0.1295      0.0000
             4         -0.1293     -0.1282      0.0012      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          1.0000      1.0000
             3          0.5638      0.5699      1.0000
             4          0.5711      0.5772      1.0000      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Stomoxys genus
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL stomoxys = CONSTANT + TYPE$+REPLICATE+ Seq(REPLICATE)+Site

>ESTIMATE
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
SITE (4 levels)
         21,       22,       23,       24
REPLICATE (2 levels)
          1,        2
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
TYPE$ (4 levels)
   NZI-COT, NZI-COT-SUN-, NZI-SUN-BIO, NZI-SUN-ECO
ODOURS$ (1 levels)
   OCTENOL
 
Dep Var: STOMOXYS   N: 32   Multiple R: 0.9668   Squared multiple R: 0.9346
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.4429     3       0.1476      2.9152      0.0625
REPLICATE                 5.8622     1       5.8622    115.7505      0.0000
SITE                      0.7953     3       0.2651      5.2346      0.0090
SEQ(REPLICATE)            5.9283     6       0.9881     19.5094      0.0000
                                                                                                                                                                                                        
Error                     0.9116    18       0.0506

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.9551       0.0796       8
  TYPE$       =NZI-COT-SUN-       0.6324       0.0796       8
  TYPE$       =NZI-SUN-BIO        0.8629       0.0796       8
  TYPE$       =NZI-SUN-ECO        0.8059       0.0796       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.3861       0.0563      16
  REPLICATE   =2                  1.2421       0.0563      16

-------------------------------------------------------------------------------
  SITE        =21                 1.0312       0.0796       8
  SITE        =22                 0.8963       0.0796       8
  SITE        =23                 0.6834       0.0796       8
  SITE        =24                 0.6455       0.0796       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.1193       0.1125       4
SEQ         =2           
  REPLICATE   =1                  0.0753       0.1125       4
SEQ         =3           
  REPLICATE   =1                  0.2500       0.1125       4
SEQ         =4           
  REPLICATE   =1                  1.0997       0.1125       4
SEQ         =5           
  REPLICATE   =2                  0.8624       0.1125       4
SEQ         =6           
  REPLICATE   =2                  0.7782       0.1125       4
SEQ         =7           
  REPLICATE   =2                  1.4752       0.1125       4
SEQ         =8           
  REPLICATE   =2                  1.8526       0.1125       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.4151
First Order Autocorrelation      -0.2215
>HYPOTHESIS
>POST TYPE$ /TUKEY
COL/
ROW TYPE$
  1  NZI-COT
  2  NZI-COT-SUN-
  3  NZI-SUN-BIO
  4  NZI-SUN-ECO
Using least squares means.
Post Hoc test of STOMOXYS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.051 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.3228      0.0000
             3         -0.0922      0.2305      0.0000
             4         -0.1493      0.1735     -0.0570      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.0460      1.0000
             3          0.8445      0.2075      1.0000
             4          0.5588      0.4346      0.9564      1.0000

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