>USE "C:\science\nzi\collaboration\mohamed\expt\sudan3\sudan3.SYD"
SYSTAT Rectangular file C:\science\\nzi\collaboration\mohamed\expt\sudan3\sudan3.SYD,
created Thu Sep 27, 2007 at 19:44:54, 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+Seq(REPLICATE)+Site

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-NYL, NZI-TDV-NYL, NZI-TURQCIBA
REPLICATE (2 levels)
          1,        2
SITE (4 levels)
          1,        2,        3,        4
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
 
Dep Var: TABANIDAE   N: 32   Multiple R: 0.8471   Squared multiple R: 0.7177
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.4264     3       0.1421      1.3281      0.2963
REPLICATE                 0.0000     1       0.0000      0.0001      0.9937
SITE                      3.9003     3       1.3001     12.1480      0.0001
SEQ(REPLICATE)            0.5697     6       0.0950      0.8872      0.5243
                                                                                                                                                                                                        
Error                     1.9264    18       0.1070

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.6109       0.1157       8
  TYPE$       =NZI-SUN-NYL        1.6547       0.1157       8
  TYPE$       =NZI-TDV-NYL        1.8556       0.1157       8
  TYPE$       =NZI-TURQCIBA       1.5468       0.1157       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.6665       0.0818      16
  REPLICATE   =2                  1.6675       0.0818      16

-------------------------------------------------------------------------------
  SITE        =1                  1.8887       0.1157       8
  SITE        =2                  1.0697       0.1157       8
  SITE        =3                  1.9293       0.1157       8
  SITE        =4                  1.7802       0.1157       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.6484       0.1636       4
SEQ         =2           
  REPLICATE   =1                  1.9150       0.1636       4
SEQ         =3           
  REPLICATE   =1                  1.6178       0.1636       4
SEQ         =4           
  REPLICATE   =1                  1.4848       0.1636       4
SEQ         =5           
  REPLICATE   =2                  1.5178       0.1636       4
SEQ         =6           
  REPLICATE   =2                  1.7776       0.1636       4
SEQ         =7           
  REPLICATE   =2                  1.6177       0.1636       4
SEQ         =8           
  REPLICATE   =2                  1.7568       0.1636       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            2 is an outlier        (Studentized Residual =       5.2359)
Case           26 is an outlier        (Studentized Residual =      -3.4088)
 
Durbin-Watson D Statistic         2.7523
First Order Autocorrelation      -0.4192
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-NYL
  3  NZI-TDV-NYL
  4  NZI-TURQCIBA
Using least squares means.
Post Hoc test of TABANIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.107 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.0438      0.0000
             3          0.2446      0.2009      0.0000
             4         -0.0641     -0.1079     -0.3088      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9931      1.0000
             3          0.4604      0.6179      1.0000
             4          0.9789      0.9107      0.2678      1.0000

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

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-NYL, NZI-TDV-NYL, NZI-TURQCIBA
REPLICATE (2 levels)
          1,        2
SITE (4 levels)
          1,        2,        3,        4
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
 
Dep Var: TABANUS   N: 32   Multiple R: 0.8393   Squared multiple R: 0.7044
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.3367     3       0.1122      0.9814      0.4235
REPLICATE                 0.0047     1       0.0047      0.0415      0.8409
SITE                      3.3572     3       1.1191      9.7841      0.0005
SEQ(REPLICATE)            1.2072     6       0.2012      1.7592      0.1646
                                                                                                                                                                                                        
Error                     2.0588    18       0.1144

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.3454       0.1196       8
  TYPE$       =NZI-SUN-NYL        1.2725       0.1196       8
  TYPE$       =NZI-TDV-NYL        1.5251       0.1196       8
  TYPE$       =NZI-TURQCIBA       1.2759       0.1196       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.3426       0.0845      16
  REPLICATE   =2                  1.3669       0.0845      16

-------------------------------------------------------------------------------
  SITE        =1                  1.4724       0.1196       8
  SITE        =2                  0.8565       0.1196       8
  SITE        =3                  1.7513       0.1196       8
  SITE        =4                  1.3388       0.1196       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.3758       0.1691       4
SEQ         =2           
  REPLICATE   =1                  1.6983       0.1691       4
SEQ         =3           
  REPLICATE   =1                  1.2465       0.1691       4
SEQ         =4           
  REPLICATE   =1                  1.0497       0.1691       4
SEQ         =5           
  REPLICATE   =2                  1.1892       0.1691       4
SEQ         =6           
  REPLICATE   =2                  1.5159       0.1691       4
SEQ         =7           
  REPLICATE   =2                  1.2695       0.1691       4
SEQ         =8           
  REPLICATE   =2                  1.4930       0.1691       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            2 is an outlier        (Studentized Residual =       3.9514)
Case           26 is an outlier        (Studentized Residual =      -4.1337)
 
Durbin-Watson D Statistic         2.6163
First Order Autocorrelation      -0.3308
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-NYL
  3  NZI-TDV-NYL
  4  NZI-TURQCIBA
Using least squares means.
Post Hoc test of TABANUS

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.114 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.0729      0.0000
             3          0.1797      0.2526      0.0000
             4         -0.0695      0.0034     -0.2492      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.9724      1.0000
             3          0.7157      0.4614      1.0000
             4          0.9759      1.0000      0.4727      1.0000

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

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-NYL, NZI-TDV-NYL, NZI-TURQCIBA
REPLICATE (2 levels)
          1,        2
SITE (4 levels)
          1,        2,        3,        4
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
 
Dep Var: TASUFF   N: 32   Multiple R: 0.8433   Squared multiple R: 0.7112
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.4579     3       0.1526      1.3410      0.2924
REPLICATE                 0.0062     1       0.0062      0.0544      0.8183
SITE                      3.2501     3       1.0834      9.5187      0.0005
SEQ(REPLICATE)            1.3301     6       0.2217      1.9478      0.1276
                                                                                                                                                                                                        
Error                     2.0487    18       0.1138

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.3133       0.1193       8
  TYPE$       =NZI-SUN-NYL        1.1671       0.1193       8
  TYPE$       =NZI-TDV-NYL        1.4951       0.1193       8
  TYPE$       =NZI-TURQCIBA       1.2594       0.1193       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.2948       0.0843      16
  REPLICATE   =2                  1.3226       0.0843      16

-------------------------------------------------------------------------------
  SITE        =1                  1.3641       0.1193       8
  SITE        =2                  0.8299       0.1193       8
  SITE        =3                  1.7258       0.1193       8
  SITE        =4                  1.3151       0.1193       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.2888       0.1687       4
SEQ         =2           
  REPLICATE   =1                  1.6634       0.1687       4
SEQ         =3           
  REPLICATE   =1                  1.2283       0.1687       4
SEQ         =4           
  REPLICATE   =1                  0.9987       0.1687       4
SEQ         =5           
  REPLICATE   =2                  1.1004       0.1687       4
SEQ         =6           
  REPLICATE   =2                  1.4869       0.1687       4
SEQ         =7           
  REPLICATE   =2                  1.2367       0.1687       4
SEQ         =8           
  REPLICATE   =2                  1.4665       0.1687       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            2 is an outlier        (Studentized Residual =       3.4648)
Case           26 is an outlier        (Studentized Residual =      -4.1599)
 
Durbin-Watson D Statistic         2.5347
First Order Autocorrelation      -0.2786
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-NYL
  3  NZI-TDV-NYL
  4  NZI-TURQCIBA
Using least squares means.
Post Hoc test of TASUFF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.114 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2         -0.1462      0.0000
             3          0.1818      0.3280      0.0000
             4         -0.0538      0.0924     -0.2356      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8218      1.0000
             3          0.7070      0.2453      1.0000
             4          0.9884      0.9460      0.5172      1.0000

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

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-NYL, NZI-TDV-NYL, NZI-TURQCIBA
REPLICATE (2 levels)
          1,        2
SITE (4 levels)
          1,        2,        3,        4
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
 
Dep Var: TATAEF   N: 32   Multiple R: 0.7848   Squared multiple R: 0.6159
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.5671     3       0.1890      1.8845      0.1684
REPLICATE                 0.0199     1       0.0199      0.1981      0.6616
SITE                      1.6005     3       0.5335      5.3187      0.0084
SEQ(REPLICATE)            0.7077     6       0.1179      1.1759      0.3621
                                                                                                                                                                                                        
Error                     1.8055    18       0.1003

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            0.3812       0.1120       8
  TYPE$       =NZI-SUN-NYL        0.6133       0.1120       8
  TYPE$       =NZI-TDV-NYL        0.4096       0.1120       8
  TYPE$       =NZI-TURQCIBA       0.2405       0.1120       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  0.3862       0.0792      16
  REPLICATE   =2                  0.4361       0.0792      16

-------------------------------------------------------------------------------
  SITE        =1                  0.7273       0.1120       8
  SITE        =2                  0.2003       0.1120       8
  SITE        =3                  0.5167       0.1120       8
  SITE        =4                  0.2003       0.1120       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  0.6633       0.1584       4
SEQ         =2           
  REPLICATE   =1                  0.4811       0.1584       4
SEQ         =3           
  REPLICATE   =1                  0.2500       0.1584       4
SEQ         =4           
  REPLICATE   =1                  0.1505       0.1584       4
SEQ         =5           
  REPLICATE   =2                  0.3451       0.1584       4
SEQ         =6           
  REPLICATE   =2                  0.5123       0.1584       4
SEQ         =7           
  REPLICATE   =2                  0.4811       0.1584       4
SEQ         =8           
  REPLICATE   =2                  0.4058       0.1584       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            1 is an outlier        (Studentized Residual =      -5.5483)
Case            2 is an outlier        (Studentized Residual =       2.8836)
 
Durbin-Watson D Statistic         2.2426
First Order Autocorrelation      -0.3100
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-NYL
  3  NZI-TDV-NYL
  4  NZI-TURQCIBA
Using least squares means.
Post Hoc test of TATAEF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.100 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.2322      0.0000
             3          0.0284     -0.2038      0.0000
             4         -0.1406     -0.3728     -0.1690      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.4771      1.0000
             3          0.9979      0.5826      1.0000
             4          0.8111      0.1227      0.7131      1.0000

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

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-NYL, NZI-TDV-NYL, NZI-TURQCIBA
REPLICATE (2 levels)
          1,        2
SITE (4 levels)
          1,        2,        3,        4
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
 
Dep Var: ATAGRF   N: 32   Multiple R: 0.8571   Squared multiple R: 0.7346
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     0.4588     3       0.1529      1.5668      0.2321
REPLICATE                 0.0002     1       0.0002      0.0016      0.9687
SITE                      4.1266     3       1.3755     14.0923      0.0001
SEQ(REPLICATE)            0.2765     6       0.0461      0.4721      0.8201
                                                                                                                                                                                                        
Error                     1.7569    18       0.0976

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.2743       0.1105       8
  TYPE$       =NZI-SUN-NYL        1.3891       0.1105       8
  TYPE$       =NZI-TDV-NYL        1.5429       0.1105       8
  TYPE$       =NZI-TURQCIBA       1.2347       0.1105       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.3581       0.0781      16
  REPLICATE   =2                  1.3625       0.0781      16

-------------------------------------------------------------------------------
  SITE        =1                  1.6461       0.1105       8
  SITE        =2                  0.7504       0.1105       8
  SITE        =3                  1.4525       0.1105       8
  SITE        =4                  1.5920       0.1105       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  1.3278       0.1562       4
SEQ         =2           
  REPLICATE   =1                  1.4810       0.1562       4
SEQ         =3           
  REPLICATE   =1                  1.3836       0.1562       4
SEQ         =4           
  REPLICATE   =1                  1.2400       0.1562       4
SEQ         =5           
  REPLICATE   =2                  1.1934       0.1562       4
SEQ         =6           
  REPLICATE   =2                  1.4030       0.1562       4
SEQ         =7           
  REPLICATE   =2                  1.4226       0.1562       4
SEQ         =8           
  REPLICATE   =2                  1.4308       0.1562       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            2 is an outlier        (Studentized Residual =       4.9834)
 
Durbin-Watson D Statistic         2.7298
First Order Autocorrelation      -0.4364
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-NYL
  3  NZI-TDV-NYL
  4  NZI-TURQCIBA
Using least squares means.
Post Hoc test of ATAGRF

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.098 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.1149      0.0000
             3          0.2686      0.1538      0.0000
             4         -0.0396     -0.1544     -0.3082      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.8816      1.0000
             3          0.3428      0.7600      1.0000
             4          0.9941      0.7577      0.2345      1.0000

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

>ESTIMATE /
 
Effects coding used for categorical variables in model.
 
Categorical values encountered during processing are:
TYPE$ (4 levels)
   NZI-SUD, NZI-SUN-NYL, NZI-TDV-NYL, NZI-TURQCIBA
REPLICATE (2 levels)
          1,        2
SITE (4 levels)
          1,        2,        3,        4
SEQ (8 levels)
          1,        2,        3,        4,        5,        6,        7,
          8
 
Dep Var: MUSCIDAE   N: 32   Multiple R: 0.8730   Squared multiple R: 0.7621
 
Analysis of Variance
Source             Sum-of-Squares   df  Mean-Square     F-ratio       P
                                                                                                                                                                                                        
TYPE$                     1.4738     3       0.4913      3.4830      0.0375
REPLICATE                 0.7337     1       0.7337      5.2020      0.0350
SITE                      3.8636     3       1.2879      9.1307      0.0007
SEQ(REPLICATE)            2.0624     6       0.3437      2.4370      0.0667
                                                                                                                                                                                                        
Error                     2.5389    18       0.1410

-------------------------------------------------------------------------------
 
Least squares means
                                LS Mean           SE      N
  TYPE$       =NZI-SUD            1.1617       0.1328       8
  TYPE$       =NZI-SUN-NYL        1.4663       0.1328       8
  TYPE$       =NZI-TDV-NYL        1.4772       0.1328       8
  TYPE$       =NZI-TURQCIBA       0.9683       0.1328       8

-------------------------------------------------------------------------------
  REPLICATE   =1                  1.4198       0.0939      16
  REPLICATE   =2                  1.1169       0.0939      16

-------------------------------------------------------------------------------
  SITE        =1                  1.4372       0.1328       8
  SITE        =2                  0.8628       0.1328       8
  SITE        =3                  1.7486       0.1328       8
  SITE        =4                  1.0248       0.1328       8

-------------------------------------------------------------------------------
SEQ         =1           
  REPLICATE   =1                  2.0079       0.1878       4
SEQ         =2           
  REPLICATE   =1                  1.3408       0.1878       4
SEQ         =3           
  REPLICATE   =1                  1.1249       0.1878       4
SEQ         =4           
  REPLICATE   =1                  1.2056       0.1878       4
SEQ         =5           
  REPLICATE   =2                  1.2126       0.1878       4
SEQ         =6           
  REPLICATE   =2                  1.1845       0.1878       4
SEQ         =7           
  REPLICATE   =2                  0.9928       0.1878       4
SEQ         =8           
  REPLICATE   =2                  1.0778       0.1878       4

-------------------------------------------------------------------------------
*** WARNING ***
Case            1 is an outlier        (Studentized Residual =      -3.1844)
Case            2 is an outlier        (Studentized Residual =       2.8195)
 
Durbin-Watson D Statistic         2.9793
First Order Autocorrelation      -0.5949
>HYPOTHESIS
>POST TYPE$/ TUKEY
COL/
ROW TYPE$
  1  NZI-SUD
  2  NZI-SUN-NYL
  3  NZI-TDV-NYL
  4  NZI-TURQCIBA
Using least squares means.
Post Hoc test of MUSCIDAE

>TEST
 
-------------------------------------------------------------------------------
Using model MSE of 0.141 with 18 df.
 
Matrix of pairwise mean differences:
                         1           2           3           4
             1          0.0000
             2          0.3046      0.0000
             3          0.3155      0.0109      0.0000
             4         -0.1934     -0.4980     -0.5089      0.0000

Tukey HSD Multiple Comparisons.
 
Matrix of pairwise comparison probabilities:
                         1           2           3           4
             1          1.0000
             2          0.3918      1.0000
             3          0.3622      0.9999      1.0000
             4          0.7344      0.0703      0.0628      1.0000

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