>USE "C:\science\nzi\canada\2007\farm1\risk\farm1 risk.SYD"
SYSTAT Rectangular file C:\science\\nzi\canada\2007\farm1\risk\farm1 risk.SYD,
created Mon Dec 10, 2007 at 20:59:53, 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: 0.9144   Squared multiple R: 0.8361
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1985     3       0.0662      4.4889      0.0161
REPLICATE                 0.2117     1       0.2117     14.3646      0.0013
SITE                      0.4212     3       0.1404      9.5255      0.0005
SEQ(REPLICATE)            0.5219     6       0.0870      5.9009      0.0015
                                                                                                                                                                                                        
Error                     0.2653    18       0.0147

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.3224       0.0429       8
  TYPE$       =NZI-COT-SUN-       2.2571       0.0429       8
  TYPE$       =NZI-SUN-BIO        2.4028       0.0429       8
  TYPE$       =NZI-SUN-ECO        2.1900       0.0429       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  2.2117       0.0304      16
  REPLICATE   =2                  2.3744       0.0304      16

-------------------------------------------------------------------------------
  SITE        =21                 2.4684       0.0429       8
  SITE        =22                 2.2370       0.0429       8
  SITE        =23                 2.1571       0.0429       8
  SITE        =24                 2.3098       0.0429       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.2124       0.0607       4
SEQ         =2           
  REPLICATE   =1                  2.1083       0.0607       4
SEQ         =3           
  REPLICATE   =1                  2.2403       0.0607       4
SEQ         =4           
  REPLICATE   =1                  2.2859       0.0607       4
SEQ         =5           
  REPLICATE   =2                  2.1202       0.0607       4
SEQ         =6           
  REPLICATE   =2                  2.5467       0.0607       4
SEQ         =7           
  REPLICATE   =2                  2.5042       0.0607       4
SEQ         =8           
  REPLICATE   =2                  2.3266       0.0607       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.2581
First Order Autocorrelation      -0.1888
>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         -0.0653      0.0000
             3          0.0803      0.1456      0.0000
             4         -0.1325     -0.0672     -0.2128      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7082      1.0000
             3          0.5609      0.1132      1.0000
             4          0.1660      0.6903      0.0123      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: 0.8959   Squared multiple R: 0.8026
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0206     3       0.0069      0.3835      0.7662
REPLICATE                 0.5077     1       0.5077     28.3271      0.0000
SITE                      0.3344     3       0.1115      6.2180      0.0044
SEQ(REPLICATE)            0.4487     6       0.0748      4.1721      0.0084
                                                                                                                                                                                                        
Error                     0.3226    18       0.0179

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.1731       0.0473       8
  TYPE$       =NZI-COT-SUN-       0.1565       0.0473       8
  TYPE$       =NZI-SUN-BIO        0.1952       0.0473       8
  TYPE$       =NZI-SUN-ECO        0.1256       0.0473       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.0366       0.0335      16
  REPLICATE   =2                  0.2886       0.0335      16

-------------------------------------------------------------------------------
  SITE        =21                 0.0795       0.0473       8
  SITE        =22                 0.1371       0.0473       8
  SITE        =23                 0.0979       0.0473       8
  SITE        =24                 0.3359       0.0473       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.0000       0.0669       4
SEQ         =2           
  REPLICATE   =1                  0.0273       0.0669       4
SEQ         =3           
  REPLICATE   =1                  0.0510       0.0669       4
SEQ         =4           
  REPLICATE   =1                  0.0683       0.0669       4
SEQ         =5           
  REPLICATE   =2                  0.0753       0.0669       4
SEQ         =6           
  REPLICATE   =2                  0.2007       0.0669       4
SEQ         =7           
  REPLICATE   =2                  0.5132       0.0669       4
SEQ         =8           
  REPLICATE   =2                  0.3651       0.0669       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           25 is an outlier        (Studentized Residual =      -2.8850)
 
Durbin-Watson D Statistic         3.0513
First Order Autocorrelation      -0.5512
>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 0.018 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0166      0.0000
             3          0.0221      0.0387      0.0000
             4         -0.0474     -0.0308     -0.0696      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9945      1.0000
             3          0.9871      0.9372      1.0000
             4          0.8924      0.9667      0.7291      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: 0.9782   Squared multiple R: 0.9568
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1355     3       0.0452      1.4862      0.2520
REPLICATE                 7.0219     1       7.0219    231.0741      0.0000
SITE                      0.1214     3       0.0405      1.3315      0.2953
SEQ(REPLICATE)            4.8317     6       0.8053     26.4998      0.0000
                                                                                                                                                                                                        
Error                     0.5470    18       0.0304

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.6399       0.0616       8
  TYPE$       =NZI-COT-SUN-       0.5083       0.0616       8
  TYPE$       =NZI-SUN-BIO        0.6323       0.0616       8
  TYPE$       =NZI-SUN-ECO        0.5040       0.0616       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.0395       0.0436      16
  REPLICATE   =2                  0.1027       0.0436      16

-------------------------------------------------------------------------------
  SITE        =21                 0.6681       0.0616       8
  SITE        =22                 0.5214       0.0616       8
  SITE        =23                 0.5144       0.0616       8
  SITE        =24                 0.5805       0.0616       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.7948       0.0872       4
SEQ         =2           
  REPLICATE   =1                  1.2859       0.0872       4
SEQ         =3           
  REPLICATE   =1                  0.6914       0.0872       4
SEQ         =4           
  REPLICATE   =1                  0.3860       0.0872       4
SEQ         =5           
  REPLICATE   =2                  0.1896       0.0872       4
SEQ         =6           
  REPLICATE   =2                  0.0000       0.0872       4
SEQ         =7           
  REPLICATE   =2                  0.0387       0.0872       4
SEQ         =8           
  REPLICATE   =2                  0.1823       0.0872       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            1 is an outlier        (Studentized Residual =       2.7564)
 
Durbin-Watson D Statistic         1.9146
First Order Autocorrelation      -0.0444
>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 0.030 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1317      0.0000
             3         -0.0077      0.1240      0.0000
             4         -0.1360     -0.0043     -0.1283      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.4520      1.0000
             3          0.9997      0.5021      1.0000
             4          0.4248      1.0000      0.4737      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: 0.9813   Squared multiple R: 0.9630
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.1334     3       0.0445      1.6383      0.2158
REPLICATE                 5.8065     1       5.8065    213.8837      0.0000
SITE                      0.1678     3       0.0559      2.0598      0.1415
SEQ(REPLICATE)            6.5938     6       1.0990     40.4811      0.0000
                                                                                                                                                                                                        
Error                     0.4887    18       0.0271

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.5120       0.0583       8
  TYPE$       =NZI-COT-SUN-       0.3539       0.0583       8
  TYPE$       =NZI-SUN-BIO        0.4929       0.0583       8
  TYPE$       =NZI-SUN-ECO        0.4044       0.0583       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.8668       0.0412      16
  REPLICATE   =2                  0.0148       0.0412      16

-------------------------------------------------------------------------------
  SITE        =21                 0.5468       0.0583       8
  SITE        =22                 0.3473       0.0583       8
  SITE        =23                 0.4134       0.0583       8
  SITE        =24                 0.4558       0.0583       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.7492       0.0824       4
SEQ         =2           
  REPLICATE   =1                  1.1802       0.0824       4
SEQ         =3           
  REPLICATE   =1                  0.4329       0.0824       4
SEQ         =4           
  REPLICATE   =1                  0.1048       0.0824       4
SEQ         =5           
  REPLICATE   =2                  0.0594       0.0824       4
SEQ         =6           
  REPLICATE   =2                  0.0000       0.0824       4
SEQ         =7           
  REPLICATE   =2                  0.0000       0.0824       4
SEQ         =8           
  REPLICATE   =2                  0.0000       0.0824       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            1 is an outlier        (Studentized Residual =       2.8359)
 
Durbin-Watson D Statistic         1.9063
First Order Autocorrelation      -0.0439
>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 0.027 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1582      0.0000
             3         -0.0191      0.1391      0.0000
             4         -0.1076      0.0506     -0.0885      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.2548      1.0000
             3          0.9955      0.3581      1.0000
             4          0.5708      0.9263      0.7089      1.0000

-------------------------------------------------------------------------------
>REM	---------------------------------------------------
>REM	Hybomitra frontalis
>REM	---------------------------------------------------
>GLM
>CATEGORY SITE, REPLICATE, SEQ, TYPE$, ODOURS$
>MODEL HYFROF = 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: HYFROF   N: 32   Multiple R: 0.9584   Squared multiple R: 0.9186
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0576     3       0.0192      1.6169      0.2205
REPLICATE                 1.6988     1       1.6988    142.9508      0.0000
SITE                      0.0871     3       0.0290      2.4436      0.0974
SEQ(REPLICATE)            0.5698     6       0.0950      7.9908      0.0003
                                                                                                                                                                                                        
Error                     0.2139    18       0.0119

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.3506       0.0385       8
  TYPE$       =NZI-COT-SUN-       0.2813       0.0385       8
  TYPE$       =NZI-SUN-BIO        0.3384       0.0385       8
  TYPE$       =NZI-SUN-ECO        0.2462       0.0385       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.5346       0.0273      16
  REPLICATE   =2                  0.0737       0.0273      16

-------------------------------------------------------------------------------
  SITE        =21                 0.3503       0.0385       8
  SITE        =22                 0.3019       0.0385       8
  SITE        =23                 0.2198       0.0385       8
  SITE        =24                 0.3446       0.0385       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.7353       0.0545       4
SEQ         =2           
  REPLICATE   =1                  0.6212       0.0545       4
SEQ         =3           
  REPLICATE   =1                  0.5117       0.0545       4
SEQ         =4           
  REPLICATE   =1                  0.2701       0.0545       4
SEQ         =5           
  REPLICATE   =2                  0.1127       0.0545       4
SEQ         =6           
  REPLICATE   =2                  0.0000       0.0545       4
SEQ         =7           
  REPLICATE   =2                  0.0000       0.0545       4
SEQ         =8           
  REPLICATE   =2                  0.1823       0.0545       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.2089
First Order Autocorrelation      -0.1131
>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 HYFROF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.012 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0693      0.0000
             3         -0.0123      0.0570      0.0000
             4         -0.1044     -0.0351     -0.0921      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.5917      1.0000
             3          0.9958      0.7253      1.0000
             4          0.2566      0.9163      0.3573      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: 0.9334   Squared multiple R: 0.8712
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2055     3       0.0685      4.5098      0.0158
REPLICATE                 0.4983     1       0.4983     32.8121      0.0000
SITE                      0.4039     3       0.1346      8.8644      0.0008
SEQ(REPLICATE)            0.7407     6       0.1235      8.1284      0.0002
                                                                                                                                                                                                        
Error                     0.2734    18       0.0152

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            2.2724       0.0436       8
  TYPE$       =NZI-COT-SUN-       2.2242       0.0436       8
  TYPE$       =NZI-SUN-BIO        2.3558       0.0436       8
  TYPE$       =NZI-SUN-ECO        2.1344       0.0436       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  2.1219       0.0308      16
  REPLICATE   =2                  2.3715       0.0308      16

-------------------------------------------------------------------------------
  SITE        =21                 2.4126       0.0436       8
  SITE        =22                 2.1860       0.0436       8
  SITE        =23                 2.1112       0.0436       8
  SITE        =24                 2.2771       0.0436       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.9639       0.0616       4
SEQ         =2           
  REPLICATE   =1                  2.0248       0.0616       4
SEQ         =3           
  REPLICATE   =1                  2.2201       0.0616       4
SEQ         =4           
  REPLICATE   =1                  2.2789       0.0616       4
SEQ         =5           
  REPLICATE   =2                  2.1131       0.0616       4
SEQ         =6           
  REPLICATE   =2                  2.5456       0.0616       4
SEQ         =7           
  REPLICATE   =2                  2.5029       0.0616       4
SEQ         =8           
  REPLICATE   =2                  2.3244       0.0616       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.3190
First Order Autocorrelation      -0.1955
>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          0.0834      0.1316      0.0000
             4         -0.1380     -0.0898     -0.2214      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8609      1.0000
             3          0.5431      0.1794      1.0000
             4          0.1502      0.4825      0.0102      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: 0.9736   Squared multiple R: 0.9480
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2381     3       0.0794      3.3590      0.0418
REPLICATE                 6.5436     1       6.5436    276.9676      0.0000
SITE                      0.2990     3       0.0997      4.2190      0.0200
SEQ(REPLICATE)            0.6702     6       0.1117      4.7276      0.0047
                                                                                                                                                                                                        
Error                     0.4253    18       0.0236

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.4503       0.0543       8
  TYPE$       =NZI-COT-SUN-       1.3079       0.0543       8
  TYPE$       =NZI-SUN-BIO        1.3561       0.0543       8
  TYPE$       =NZI-SUN-ECO        1.2111       0.0543       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.7836       0.0384      16
  REPLICATE   =2                  0.8792       0.0384      16

-------------------------------------------------------------------------------
  SITE        =21                 1.4595       0.0543       8
  SITE        =22                 1.2358       0.0543       8
  SITE        =23                 1.2399       0.0543       8
  SITE        =24                 1.3902       0.0543       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.9596       0.0769       4
SEQ         =2           
  REPLICATE   =1                  1.8730       0.0769       4
SEQ         =3           
  REPLICATE   =1                  1.6327       0.0769       4
SEQ         =4           
  REPLICATE   =1                  1.6689       0.0769       4
SEQ         =5           
  REPLICATE   =2                  1.1390       0.0769       4
SEQ         =6           
  REPLICATE   =2                  0.8033       0.0769       4
SEQ         =7           
  REPLICATE   =2                  0.8219       0.0769       4
SEQ         =8           
  REPLICATE   =2                  0.7524       0.0769       4

-------------------------------------------------------------------------------
*** WARNING ***
Case           10 is an outlier        (Studentized Residual =      -2.7764)
 
Durbin-Watson D Statistic         2.1623
First Order Autocorrelation      -0.1669
>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 0.024 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1424      0.0000
             3         -0.0942      0.0482      0.0000
             4         -0.2392     -0.0968     -0.1449      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.2825      1.0000
             3          0.6190      0.9222      1.0000
             4          0.0280      0.5990      0.2686      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: 0.9925   Squared multiple R: 0.9851
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.3365     3       0.1122      8.2011      0.0012
REPLICATE                 5.8502     1       5.8502    427.7055      0.0000
SITE                      0.4206     3       0.1402     10.2492      0.0004
SEQ(REPLICATE)            9.6991     6       1.6165    118.1819      0.0000
                                                                                                                                                                                                        
Error                     0.2462    18       0.0137

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            1.9231       0.0413       8
  TYPE$       =NZI-COT-SUN-       1.9144       0.0413       8
  TYPE$       =NZI-SUN-BIO        2.0691       0.0413       8
  TYPE$       =NZI-SUN-ECO        1.7793       0.0413       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.4939       0.0292      16
  REPLICATE   =2                  2.3491       0.0292      16

-------------------------------------------------------------------------------
  SITE        =21                 2.0923       0.0413       8
  SITE        =22                 1.9103       0.0413       8
  SITE        =23                 1.7691       0.0413       8
  SITE        =24                 1.9142       0.0413       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.2629       0.0585       4
SEQ         =2           
  REPLICATE   =1                  1.4863       0.0585       4
SEQ         =3           
  REPLICATE   =1                  2.0749       0.0585       4
SEQ         =4           
  REPLICATE   =1                  2.1515       0.0585       4
SEQ         =5           
  REPLICATE   =2                  2.0605       0.0585       4
SEQ         =6           
  REPLICATE   =2                  2.5355       0.0585       4
SEQ         =7           
  REPLICATE   =2                  2.4898       0.0585       4
SEQ         =8           
  REPLICATE   =2                  2.3104       0.0585       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.5819
First Order Autocorrelation      -0.3102
>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         -0.0086      0.0000
             3          0.1460      0.1547      0.0000
             4         -0.1438     -0.1352     -0.2898      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9988      1.0000
             3          0.0943      0.0713      1.0000
             4          0.1013      0.1325      0.0005      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: 0.9206   Squared multiple R: 0.8475
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.0494     3       0.0165      0.9092      0.4561
REPLICATE                 1.1370     1       1.1370     62.8313      0.0000
SITE                      0.2175     3       0.0725      4.0065      0.0239
SEQ(REPLICATE)            0.4060     6       0.0677      3.7396      0.0136
                                                                                                                                                                                                        
Error                     0.3257    18       0.0181

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.4858       0.0476       8
  TYPE$       =NZI-COT-SUN-       0.4802       0.0476       8
  TYPE$       =NZI-SUN-BIO        0.4073       0.0476       8
  TYPE$       =NZI-SUN-ECO        0.4020       0.0476       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.6323       0.0336      16
  REPLICATE   =2                  0.2553       0.0336      16

-------------------------------------------------------------------------------
  SITE        =21                 0.5275       0.0476       8
  SITE        =22                 0.5215       0.0476       8
  SITE        =23                 0.3868       0.0476       8
  SITE        =24                 0.3394       0.0476       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.8241       0.0673       4
SEQ         =2           
  REPLICATE   =1                  0.6144       0.0673       4
SEQ         =3           
  REPLICATE   =1                  0.6518       0.0673       4
SEQ         =4           
  REPLICATE   =1                  0.4390       0.0673       4
SEQ         =5           
  REPLICATE   =2                  0.3667       0.0673       4
SEQ         =6           
  REPLICATE   =2                  0.2812       0.0673       4
SEQ         =7           
  REPLICATE   =2                  0.2324       0.0673       4
SEQ         =8           
  REPLICATE   =2                  0.1410       0.0673       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.0027
First Order Autocorrelation      -0.0424
>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 0.018 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0055      0.0000
             3         -0.0785     -0.0730      0.0000
             4         -0.0838     -0.0782     -0.0053      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9998      1.0000
             3          0.6545      0.7030      1.0000
             4          0.6074      0.6566      0.9998      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: 0.9723   Squared multiple R: 0.9453
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2038     3       0.0679      4.9859      0.0109
REPLICATE                 1.3684     1       1.3684    100.4497      0.0000
SITE                      0.2937     3       0.0979      7.1873      0.0023
SEQ(REPLICATE)            2.3748     6       0.3958     29.0538      0.0000
                                                                                                                                                                                                        
Error                     0.2452    18       0.0136

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-COT            0.4849       0.0413       8
  TYPE$       =NZI-COT-SUN-       0.2810       0.0413       8
  TYPE$       =NZI-SUN-BIO        0.4565       0.0413       8
  TYPE$       =NZI-SUN-ECO        0.3698       0.0413       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.1913       0.0292      16
  REPLICATE   =2                  0.6049       0.0292      16

-------------------------------------------------------------------------------
  SITE        =21                 0.5107       0.0413       8
  SITE        =22                 0.4754       0.0413       8
  SITE        =23                 0.3063       0.0413       8
  SITE        =24                 0.2999       0.0413       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.0365       0.0584       4
SEQ         =2           
  REPLICATE   =1                  0.0145       0.0584       4
SEQ         =3           
  REPLICATE   =1                  0.1118       0.0584       4
SEQ         =4           
  REPLICATE   =1                  0.6023       0.0584       4
SEQ         =5           
  REPLICATE   =2                  0.3846       0.0584       4
SEQ         =6           
  REPLICATE   =2                  0.2759       0.0584       4
SEQ         =7           
  REPLICATE   =2                  0.7124       0.0584       4
SEQ         =8           
  REPLICATE   =2                  1.0465       0.0584       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         2.5360
First Order Autocorrelation      -0.2697
>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 0.014 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2040      0.0000
             3         -0.0284      0.1756      0.0000
             4         -0.1151      0.0889     -0.0867      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.0126      1.0000
             3          0.9612      0.0347      1.0000
             4          0.2349      0.4452      0.4659      1.0000

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