>FPATH "C:\science\Nzi\Mohamed\Expt
>IMPORT "C:\science\Nzi\Mohamed\Expt\Sudan2.xls" / TYPE=EXCEL,SHEET=1
IMPORT successfully completed.

>ESAVE "C:\science\Nzi\Mohamed\Expt\Sudan2.syd"
 
  32 cases and 94 variables processed and saved.

>USE "C:\science\Nzi\Mohamed\Expt\Sudan2.syd"
SYSTAT Rectangular file C:\science\\Nzi\Mohamed\Expt\Sudan2.syd,
created Sat Jul 14, 2007 at 14:50:41, contains variables:
 TABANUS      HAEMATOPOTA  ATYLOTUS     PHILOLICHE   CHRYSOPS     ANCALA
 TABANIDAE    CALCITRANS   NIGER        STOMOXYS     FUSCIPES     PALLIDIPES
 SUBMORSITANS GLOSSINA     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$     TABFEMALE    TABMALE      TABANUSF
 TASUFF       TATAEF       TABIGF       TAGRAF       TAPARF       POTAX
 ATYLOTUSX    ATAGRF       ATFUSF       PHILOLICHEX  PHMAGF       CHRYSOPSX
 ANCALAX      ANAFRF       HIPPOBOSCAX  MUSCIDAE     STOMOXYSX    STCALF
 STCALM       STCALX       STNIGF       STNIGM       STNIGX       BOSCAX
 GLOSSINAX    GLFUSF       GLFUSM       GLFUSX       GLPALF       GLPALM
 GLPALX       GLSUBF       GLSUBM       GLSUBX

>USE "C:\science\nzi\mohamed\expt\sudan2.SYD"
SYSTAT Rectangular file C:\science\\nzi\mohamed\expt\sudan2.SYD,
created Sat Jul 14, 2007 at 14:50:41, contains variables:
 TABANUS      HAEMATOPOTA  ATYLOTUS     PHILOLICHE   CHRYSOPS     ANCALA
 TABANIDAE    CALCITRANS   NIGER        STOMOXYS     FUSCIPES     PALLIDIPES
 SUBMORSITANS GLOSSINA     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$     TABFEMALE    TABMALE      TABANUSF
 TASUFF       TATAEF       TABIGF       TAGRAF       TAPARF       POTAX
 ATYLOTUSX    ATAGRF       ATFUSF       PHILOLICHEX  PHMAGF       CHRYSOPSX
 ANCALAX      ANAFRF       HIPPOBOSCAX  MUSCIDAE     STOMOXYSX    STCALF
 STCALM       STCALX       STNIGF       STNIGM       STNIGX       BOSCAX
 GLOSSINAX    GLFUSF       GLFUSM       GLFUSX       GLPALF       GLPALM
 GLPALX       GLSUBF       GLSUBM       GLSUBX

>PRINT MEDIUM
>REM CALCULATE ANOVAS BY MAJOR GROUPS, SPECIES AND SEXES
>REM ---------- Tabanidae LOG(X+1)  ----------------
>GLM
>CATEGORY TYPE$ REPLICATE SITE SEQ / EFFECT
>MODEL Tabanidae = CONSTANT + TYPE$+REPLICATE+SITE(REPLICATE)+SEQ

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-CRY-, NZI-TDV-BIO, NZI-TDV-ECO
REPLICATE (2 levels)
          1,        2
SITE (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
SEQ (4 levels)
          1,        2,        3,        4
 
Dep Var: TABANIDAE   N: 32   Multiple R: 0.8633   Squared multiple R: 0.7453
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.4076     3       0.1359      3.9946      0.0242
REPLICATE                 0.2459     1       0.2459      7.2293      0.0150
SEQ                       0.2951     3       0.0984      2.8926      0.0638
SITE(REPLICATE)           0.8428     6       0.1405      4.1299      0.0088
                                                                                                                                                                                                        
Error                     0.6122    18       0.0340

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.6587       0.0652       8
  TYPE$       =NZI-SUN-CRY-       1.5749       0.0652       8
  TYPE$       =NZI-TDV-BIO        1.8658       0.0652       8
  TYPE$       =NZI-TDV-ECO        1.7899       0.0652       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.8100       0.0461      16
  REPLICATE   =2                  1.6347       0.0461      16

-------------------------------------------------------------------------------
  SEQ         =1                  1.8855       0.0652       8
  SEQ         =2                  1.6675       0.0652       8
  SEQ         =3                  1.6419       0.0652       8
  SEQ         =4                  1.6944       0.0652       8

-------------------------------------------------------------------------------
SITE        =1           
  REPLICATE   =1                  1.8903       0.0922       4
SITE        =2           
  REPLICATE   =1                  1.5449       0.0922       4
SITE        =3           
  REPLICATE   =1                  1.9641       0.0922       4
SITE        =4           
  REPLICATE   =1                  1.8406       0.0922       4
SITE        =5           
  REPLICATE   =2                  1.7190       0.0922       4
SITE        =6           
  REPLICATE   =2                  1.4379       0.0922       4
SITE        =7           
  REPLICATE   =2                  1.8599       0.0922       4
SITE        =8           
  REPLICATE   =2                  1.5219       0.0922       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.6057
First Order Autocorrelation       0.1943
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-CRY-
  3  NZI-TDV-BIO
  4  NZI-TDV-ECO
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.034 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0838      0.0000
             3          0.2071      0.2909      0.0000
             4          0.1312      0.2150     -0.0759      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8005      1.0000
             3          0.1485      0.0257      1.0000
             4          0.5018      0.1277      0.8428      1.0000

-------------------------------------------------------------------------------
>REM ---------- Tabanus LOG(X+1)  ----------------
>GLM
>CATEGORY TYPE$ REPLICATE SITE SEQ / EFFECT
>MODEL Tabanus = CONSTANT + TYPE$+REPLICATE+SITE(REPLICATE)+SEQ

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-CRY-, NZI-TDV-BIO, NZI-TDV-ECO
REPLICATE (2 levels)
          1,        2
SITE (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
SEQ (4 levels)
          1,        2,        3,        4
 
Dep Var: TABANUS   N: 32   Multiple R: 0.8798   Squared multiple R: 0.7741
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2356     3       0.0785      2.8868      0.0642
REPLICATE                 0.5864     1       0.5864     21.5569      0.0002
SEQ                       0.2678     3       0.0893      3.2820      0.0448
SITE(REPLICATE)           0.5879     6       0.0980      3.6020      0.0159
                                                                                                                                                                                                        
Error                     0.4897    18       0.0272

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.3902       0.0583       8
  TYPE$       =NZI-SUN-CRY-       1.2946       0.0583       8
  TYPE$       =NZI-TDV-BIO        1.5324       0.0583       8
  TYPE$       =NZI-TDV-ECO        1.4384       0.0583       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.5493       0.0412      16
  REPLICATE   =2                  1.2785       0.0412      16

-------------------------------------------------------------------------------
  SEQ         =1                  1.5656       0.0583       8
  SEQ         =2                  1.4062       0.0583       8
  SEQ         =3                  1.3378       0.0583       8
  SEQ         =4                  1.3459       0.0583       8

-------------------------------------------------------------------------------
SITE        =1           
  REPLICATE   =1                  1.4974       0.0825       4
SITE        =2           
  REPLICATE   =1                  1.4624       0.0825       4
SITE        =3           
  REPLICATE   =1                  1.6880       0.0825       4
SITE        =4           
  REPLICATE   =1                  1.5492       0.0825       4
SITE        =5           
  REPLICATE   =2                  1.1894       0.0825       4
SITE        =6           
  REPLICATE   =2                  1.3558       0.0825       4
SITE        =7           
  REPLICATE   =2                  1.5120       0.0825       4
SITE        =8           
  REPLICATE   =2                  1.0570       0.0825       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.4483
First Order Autocorrelation       0.2633
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-CRY-
  3  NZI-TDV-BIO
  4  NZI-TDV-ECO
Using least squares means.
Post Hoc test of TABANUS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.027 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0956      0.0000
             3          0.1422      0.2378      0.0000
             4          0.0482      0.1438     -0.0940      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.6590      1.0000
             3          0.3403      0.0446      1.0000
             4          0.9353      0.3311      0.6706      1.0000

-------------------------------------------------------------------------------
>REM ---------- Tabanus sufis LOG(X+1)  ----------------
>GLM
>CATEGORY TYPE$ REPLICATE SITE SEQ / EFFECT
>MODEL TaSUFF = CONSTANT + TYPE$+REPLICATE+SITE(REPLICATE)+SEQ

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-CRY-, NZI-TDV-BIO, NZI-TDV-ECO
REPLICATE (2 levels)
          1,        2
SITE (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
SEQ (4 levels)
          1,        2,        3,        4
 
Dep Var: TASUFF   N: 32   Multiple R: 0.8673   Squared multiple R: 0.7523
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.2426     3       0.0809      2.5295      0.0897
REPLICATE                 0.5801     1       0.5801     18.1447      0.0005
SEQ                       0.3129     3       0.1043      3.2629      0.0456
SITE(REPLICATE)           0.6116     6       0.1019      3.1886      0.0260
                                                                                                                                                                                                        
Error                     0.5755    18       0.0320

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.3459       0.0632       8
  TYPE$       =NZI-SUN-CRY-       1.2760       0.0632       8
  TYPE$       =NZI-TDV-BIO        1.5147       0.0632       8
  TYPE$       =NZI-TDV-ECO        1.3948       0.0632       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.5175       0.0447      16
  REPLICATE   =2                  1.2482       0.0447      16

-------------------------------------------------------------------------------
  SEQ         =1                  1.5403       0.0632       8
  SEQ         =2                  1.3938       0.0632       8
  SEQ         =3                  1.3022       0.0632       8
  SEQ         =4                  1.2951       0.0632       8

-------------------------------------------------------------------------------
SITE        =1           
  REPLICATE   =1                  1.4694       0.0894       4
SITE        =2           
  REPLICATE   =1                  1.4417       0.0894       4
SITE        =3           
  REPLICATE   =1                  1.6472       0.0894       4
SITE        =4           
  REPLICATE   =1                  1.5117       0.0894       4
SITE        =5           
  REPLICATE   =2                  1.1485       0.0894       4
SITE        =6           
  REPLICATE   =2                  1.3225       0.0894       4
SITE        =7           
  REPLICATE   =2                  1.4978       0.0894       4
SITE        =8           
  REPLICATE   =2                  1.0241       0.0894       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.4048
First Order Autocorrelation       0.2792
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-CRY-
  3  NZI-TDV-BIO
  4  NZI-TDV-ECO
Using least squares means.
Post Hoc test of TASUFF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.032 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0700      0.0000
             3          0.1688      0.2388      0.0000
             4          0.0489      0.1188     -0.1200      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8613      1.0000
             3          0.2676      0.0678      1.0000
             4          0.9463      0.5572      0.5497      1.0000

-------------------------------------------------------------------------------
>REM ---------- Tabanus taeniola LOG(X+1)  ----------------
>GLM
>CATEGORY TYPE$ REPLICATE SITE SEQ / EFFECT
>MODEL TaTAEF = CONSTANT + TYPE$+REPLICATE+SITE(REPLICATE)+SEQ

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-CRY-, NZI-TDV-BIO, NZI-TDV-ECO
REPLICATE (2 levels)
          1,        2
SITE (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
SEQ (4 levels)
          1,        2,        3,        4
 
Dep Var: TATAEF   N: 32   Multiple R: 0.8022   Squared multiple R: 0.6436
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.4797     3       0.1599      3.3104      0.0437
REPLICATE                 0.3093     1       0.3093      6.4035      0.0209
SEQ                       0.3787     3       0.1262      2.6134      0.0829
SITE(REPLICATE)           0.4021     6       0.0670      1.3875      0.2727
                                                                                                                                                                                                        
Error                     0.8695    18       0.0483

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            0.4544       0.0777       8
  TYPE$       =NZI-SUN-CRY-       0.2029       0.0777       8
  TYPE$       =NZI-TDV-BIO        0.3195       0.0777       8
  TYPE$       =NZI-TDV-ECO        0.5198       0.0777       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.4725       0.0549      16
  REPLICATE   =2                  0.2759       0.0549      16

-------------------------------------------------------------------------------
  SEQ         =1                  0.4032       0.0777       8
  SEQ         =2                  0.2102       0.0777       8
  SEQ         =3                  0.3693       0.0777       8
  SEQ         =4                  0.5141       0.0777       8

-------------------------------------------------------------------------------
SITE        =1           
  REPLICATE   =1                  0.4133       0.1099       4
SITE        =2           
  REPLICATE   =1                  0.3253       0.1099       4
SITE        =3           
  REPLICATE   =1                  0.6756       0.1099       4
SITE        =4           
  REPLICATE   =1                  0.4758       0.1099       4
SITE        =5           
  REPLICATE   =2                  0.2386       0.1099       4
SITE        =6           
  REPLICATE   =2                  0.4005       0.1099       4
SITE        =7           
  REPLICATE   =2                  0.3138       0.1099       4
SITE        =8           
  REPLICATE   =2                  0.1505       0.1099       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.5311
First Order Autocorrelation       0.2228
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-CRY-
  3  NZI-TDV-BIO
  4  NZI-TDV-ECO
Using least squares means.
Post Hoc test of TATAEF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.048 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2515      0.0000
             3         -0.1349      0.1166      0.0000
             4          0.0654      0.3169      0.2003      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.1378      1.0000
             3          0.6181      0.7165      1.0000
             4          0.9324      0.0446      0.2956      1.0000

-------------------------------------------------------------------------------
>REM ---------- Atylotus agrestis LOG(X+1)  ----------------
>GLM
>CATEGORY TYPE$ REPLICATE SITE SEQ / EFFECT
>MODEL ATAGRF = CONSTANT + TYPE$+REPLICATE+SITE(REPLICATE)+SEQ

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-CRY-, NZI-TDV-BIO, NZI-TDV-ECO
REPLICATE (2 levels)
          1,        2
SITE (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
SEQ (4 levels)
          1,        2,        3,        4
 
Dep Var: ATAGRF   N: 32   Multiple R: 0.9018   Squared multiple R: 0.8133
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.5789     3       0.1930      3.1602      0.0500
REPLICATE                 0.0751     1       0.0751      1.2294      0.2821
SEQ                       0.3293     3       0.1098      1.7975      0.1837
SITE(REPLICATE)           3.8048     6       0.6341     10.3859      0.0001
                                                                                                                                                                                                        
Error                     1.0990    18       0.0611

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.3034       0.0874       8
  TYPE$       =NZI-SUN-CRY-       1.1780       0.0874       8
  TYPE$       =NZI-TDV-BIO        1.5358       0.0874       8
  TYPE$       =NZI-TDV-ECO        1.4316       0.0874       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.4106       0.0618      16
  REPLICATE   =2                  1.3138       0.0618      16

-------------------------------------------------------------------------------
  SEQ         =1                  1.5136       0.0874       8
  SEQ         =2                  1.2508       0.0874       8
  SEQ         =3                  1.2921       0.0874       8
  SEQ         =4                  1.3923       0.0874       8

-------------------------------------------------------------------------------
SITE        =1           
  REPLICATE   =1                  1.6729       0.1235       4
SITE        =2           
  REPLICATE   =1                  0.8451       0.1235       4
SITE        =3           
  REPLICATE   =1                  1.6001       0.1235       4
SITE        =4           
  REPLICATE   =1                  1.5244       0.1235       4
SITE        =5           
  REPLICATE   =2                  1.5685       0.1235       4
SITE        =6           
  REPLICATE   =2                  0.7152       0.1235       4
SITE        =7           
  REPLICATE   =2                  1.6111       0.1235       4
SITE        =8           
  REPLICATE   =2                  1.3602       0.1235       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.4247
First Order Autocorrelation       0.2872
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-CRY-
  3  NZI-TDV-BIO
  4  NZI-TDV-ECO
Using least squares means.
Post Hoc test of ATAGRF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.061 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1254      0.0000
             3          0.2325      0.3579      0.0000
             4          0.1282      0.2536     -0.1043      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.7430      1.0000
             3          0.2703      0.0435      1.0000
             4          0.7302      0.2063      0.8328      1.0000

-------------------------------------------------------------------------------
>REM ---------- Muscidae LOG(X+1)  ----------------
>GLM
>CATEGORY TYPE$ REPLICATE SITE SEQ / EFFECT
>MODEL Muscidae = CONSTANT + TYPE$+REPLICATE+SITE(REPLICATE)+SEQ

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-CRY-, NZI-TDV-BIO, NZI-TDV-ECO
REPLICATE (2 levels)
          1,        2
SITE (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
SEQ (4 levels)
          1,        2,        3,        4
 
Dep Var: MUSCIDAE   N: 32   Multiple R: 0.7867   Squared multiple R: 0.6189
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.5168     3       0.1723      1.5004      0.2483
REPLICATE                 0.7056     1       0.7056      6.1449      0.0233
SEQ                       1.3315     3       0.4438      3.8652      0.0269
SITE(REPLICATE)           0.8030     6       0.1338      1.1656      0.3670
                                                                                                                                                                                                        
Error                     2.0668    18       0.1148

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.5565       0.1198       8
  TYPE$       =NZI-SUN-CRY-       1.3461       0.1198       8
  TYPE$       =NZI-TDV-BIO        1.6925       0.1198       8
  TYPE$       =NZI-TDV-ECO        1.4617       0.1198       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.6627       0.0847      16
  REPLICATE   =2                  1.3657       0.0847      16

-------------------------------------------------------------------------------
  SEQ         =1                  1.7888       0.1198       8
  SEQ         =2                  1.5160       0.1198       8
  SEQ         =3                  1.5386       0.1198       8
  SEQ         =4                  1.2134       0.1198       8

-------------------------------------------------------------------------------
SITE        =1           
  REPLICATE   =1                  1.7253       0.1694       4
SITE        =2           
  REPLICATE   =1                  1.5273       0.1694       4
SITE        =3           
  REPLICATE   =1                  1.8742       0.1694       4
SITE        =4           
  REPLICATE   =1                  1.5239       0.1694       4
SITE        =5           
  REPLICATE   =2                  1.5090       0.1694       4
SITE        =6           
  REPLICATE   =2                  1.5249       0.1694       4
SITE        =7           
  REPLICATE   =2                  1.3214       0.1694       4
SITE        =8           
  REPLICATE   =2                  1.1075       0.1694       4

-------------------------------------------------------------------------------
 
Durbin-Watson D Statistic         1.6398
First Order Autocorrelation       0.1781
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-CRY-
  3  NZI-TDV-BIO
  4  NZI-TDV-ECO
Using least squares means.
Post Hoc test of MUSCIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.115 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.2104      0.0000
             3          0.1360      0.3464      0.0000
             4         -0.0948      0.1156     -0.2308      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.6096      1.0000
             3          0.8521      0.2089      1.0000
             4          0.9428      0.9025      0.5375      1.0000

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