General Linear Models Procedure
Class Level Information
Class    Levels    Values
SAMPLE        6    1 2 3 4 5 6
TISSUE        2    flo veg
Number of observations in data set = 12
General Linear Models Procedure
Dependent Variable: CONC1   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6      28.01059667      4.66843278      3.01     0.1233
Error                    5       7.74841300      1.54968260
Corrected Total         11      35.75900967
                  R-Square             C.V.        Root MSE           CONC1 Mean
                  0.783316         15.44271       1.2448625            8.0611667
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5       2.02684967      0.40536993      0.26     0.9163
TISSUE                   1      25.98374700     25.98374700     16.77     0.0094
General Linear Models Procedure
Dependent Variable: CONC2   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6       9.45368150      1.57561358      1.15     0.4494
Error                    5       6.86250742      1.37250148
Corrected Total         11      16.31618892
                  R-Square             C.V.        Root MSE           CONC2 Mean
                  0.579405         16.15228       1.1715381            7.2530833
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5       6.38832942      1.27766588      0.93     0.5304
TISSUE                   1       3.06535208      3.06535208      2.23     0.1953
General Linear Models Procedure
Dependent Variable: CONC3   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6      15.03615900      2.50602650      2.97     0.1263
Error                    5       4.21949367      0.84389873
Corrected Total         11      19.25565267
                  R-Square             C.V.        Root MSE           CONC3 Mean
                  0.780870         11.87845       0.9186396            7.7336667
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5      10.36863767      2.07372753      2.46     0.1731
TISSUE                   1       4.66752133      4.66752133      5.53     0.0654
General Linear Models Procedure
Dependent Variable: CONC4   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6      13.53428300      2.25571383     17.14     0.0034
Error                    5       0.65808867      0.13161773
Corrected Total         11      14.19237167
                  R-Square             C.V.        Root MSE           CONC4 Mean
                  0.953631         4.528574       0.3627916            8.0111667
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5       6.65163767      1.33032753     10.11     0.0120
TISSUE                   1       6.88264533      6.88264533     52.29     0.0008
General Linear Models Procedure
Dependent Variable: CONC5   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6      16.30054950      2.71675825      4.59     0.0578
Error                    5       2.95880342      0.59176068
Corrected Total         11      19.25935292
                  R-Square             C.V.        Root MSE           CONC5 Mean
                  0.846371         8.872748       0.7692598            8.6699167
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5       6.98837942      1.39767588      2.36     0.1836
TISSUE                   1       9.31217008      9.31217008     15.74     0.0107
General Linear Models Procedure
Dependent Variable: CONC6   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6       6.13200400      1.02200067      3.11     0.1166
Error                    5       1.64084000      0.32816800
Corrected Total         11       7.77284400
                  R-Square             C.V.        Root MSE           CONC6 Mean
                  0.788901         6.118986       0.5728595            9.3620000
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5       5.89003600      1.17800720      3.59     0.0935
TISSUE                   1       0.24196800      0.24196800      0.74     0.4298
General Linear Models Procedure
Dependent Variable: CONC7   
                                     Sum of            Mean
Source                  DF          Squares          Square   F Value     Pr > F
Model                    6      20.08224467      3.34704078      2.24     0.1977
Error                    5       7.48770500      1.49754100
Corrected Total         11      27.56994967
                  R-Square             C.V.        Root MSE           CONC7 Mean
                  0.728411         11.54019       1.2237406            10.604167
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5      17.32320167      3.46464033      2.31     0.1893
TISSUE                   1       2.75904300      2.75904300      1.84     0.2327
General Linear Models Procedure
Repeated Measures Analysis of Variance
Repeated Measures Level Information
Dependent Variable      CONC1    CONC2    CONC3    CONC4    CONC5    CONC6
   Level of JULIAN        179      200      221      242      269      290
Dependent Variable      CONC7
   Level of JULIAN        320
General Linear Models Procedure
Repeated Measures Analysis of Variance
Tests of Hypotheses for Between Subjects Effects
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
SAMPLE                   5       6.84272367      1.36854473      1.31     0.3870
TISSUE                   1      35.90198876     35.90198876     34.38     0.0020
Error                    5       5.22202152      1.04440430
General Linear Models Procedure
Repeated Measures Analysis of Variance
Univariate Tests of Hypotheses for Within Subject Effects
Source: JULIAN
                                                                   Adj  Pr > F
     DF         Type I SS       Mean Square   F Value   Pr > F    G - G    H - F
      6       93.21110731       15.53518455     17.68   0.0001   0.0001   0.0001
Source: JULIAN*SAMPLE
                                                                   Adj  Pr > F
     DF         Type I SS       Mean Square   F Value   Pr > F    G - G    H - F
     30       48.79434783        1.62647826      1.85   0.0484   0.1316   0.0484
Source: JULIAN*TISSUE
                                                                   Adj  Pr > F
     DF         Type I SS       Mean Square   F Value   Pr > F    G - G    H - F
      6       17.01045807        2.83507635      3.23   0.0144   0.0581   0.0144
Source: Error(JULIAN)
     DF         Type I SS       Mean Square
     30       26.35382964        0.87846099
Greenhouse-Geisser Epsilon = 0.4631
       Huynh-Feldt Epsilon = 2.3515
General Linear Models Procedure
Least Squares Means
TISSUE         CONC1         CONC2         CONC3         CONC4         CONC5
              LSMEAN        LSMEAN        LSMEAN        LSMEAN        LSMEAN
flo       6.58966667    6.74766667    7.11000000    7.25383333    7.78900000
veg       9.53266667    7.75850000    8.35733333    8.76850000    9.55083333
TISSUE         CONC6         CONC7
              LSMEAN        LSMEAN
flo       9.50400000    10.1246667
veg       9.22000000    11.0836667
              Plot of LSMEAN*JULIAN.  Symbol is value of TISSUE.
LSMEAN |
       |
  11.5 +
       |
       |
       |
       |                                                                      v
  11.0 +
       |
       |
       |
       |
  10.5 +
       |
       |
       |
       |                                                                      f
  10.0 +
       |
       |
       |
       |                                             v
   9.5 +     v                                                 f
       |
       |
       |                                                       v
       |
   9.0 +
       |
       |                                    v
       |
       |
   8.5 +
       |                          v
       |
       |
       |
   8.0 +
       |
       |               v                             f
       |
       |
   7.5 +
       |
       |                                    f
       |
       |                          f
   7.0 +
       |
       |
       |               f
       |     f
   6.5 +
       |
       -+---------+---------+---------+---------+---------+---------+---------+-
       180       200       220       240       260       280       300       320
                                         JULIAN
General Linear Models Procedure
Class Level Information
Class    Levels    Values
TISSUE        2    flo veg
Number of observations in data set = 12
General Linear Models Procedure
Repeated Measures Analysis of Variance
Repeated Measures Level Information
Dependent Variable      CONC1    CONC2    CONC3    CONC4    CONC5    CONC6
   Level of JULIAN        179      200      221      242      269      290
Dependent Variable      CONC7
   Level of JULIAN        320
General Linear Models Procedure
Repeated Measures Analysis of Variance
Partial Correlation Coefficients from the Error SS&CP Matrix / Prob > |r|
DF = 10        CONC1     CONC2     CONC3     CONC4     CONC5     CONC6     CONC7
CONC1       1.000000  0.134474  0.041460 -0.043679  0.362419  0.103922 -0.314957
              0.0001    0.6934    0.9037    0.8985    0.2734    0.7611    0.3455
CONC2       0.134474  1.000000  0.447446 -0.534294  0.059159 -0.305750 -0.351114
              0.6934    0.0001    0.1676    0.0904    0.8628    0.3605    0.2897
CONC3       0.041460  0.447446  1.000000 -0.629701 -0.290414 -0.409596 -0.136772
              0.9037    0.1676    0.0001    0.0379    0.3863    0.2109    0.6884
CONC4      -0.043679 -0.534294 -0.629701  1.000000  0.587425  0.365034  0.274047
              0.8985    0.0904    0.0379    0.0001    0.0574    0.2697    0.4148
CONC5       0.362419  0.059159 -0.290414  0.587425  1.000000  0.467132  0.003847
              0.2734    0.8628    0.3863    0.0574    0.0001    0.1474    0.9910
CONC6       0.103922 -0.305750 -0.409596  0.365034  0.467132  1.000000  0.480414
              0.7611    0.3605    0.2109    0.2697    0.1474    0.0001    0.1347
CONC7      -0.314957 -0.351114 -0.136772  0.274047  0.003847  0.480414  1.000000
              0.3455    0.2897    0.6884    0.4148    0.9910    0.1347    0.0001
E = Error SS&CP Matrix
JULIAN.N represents the nth degree polynomial contrast for JULIAN
            JULIAN.1    JULIAN.2    JULIAN.3    JULIAN.4    JULIAN.5    JULIAN.6
JULIAN.1   27.396873    6.029199    0.161314    7.860219   -2.108841   -7.697374
JULIAN.2    6.029199    7.779429    2.253992    0.486939   -2.435763   -0.227556
JULIAN.3    0.161314    2.253992   15.514948   -4.927308   -2.804103    5.262782
JULIAN.4    7.860219    0.486939   -4.927308    9.769257   -0.956885   -4.213502
JULIAN.5   -2.108841   -2.435763   -2.804103   -0.956885    6.642133   -2.484501
JULIAN.6   -7.697374   -0.227556    5.262782   -4.213502   -2.484501    8.045537
General Linear Models Procedure
Repeated Measures Analysis of Variance
Partial Correlation Coefficients from the Error SS&CP Matrix
of the Variables Defined by the Specified Transformation / Prob > |r|
DF = 10     JULIAN.1  JULIAN.2  JULIAN.3  JULIAN.4  JULIAN.5  JULIAN.6
JULIAN.1    1.000000  0.412986  0.007824  0.480456 -0.156329 -0.518459
              0.0001    0.2068    0.9818    0.1347    0.6462    0.1023
JULIAN.2    0.412986  1.000000  0.205165  0.055856 -0.338850 -0.028763
              0.2068    0.0001    0.5451    0.8704    0.3080    0.9331
JULIAN.3    0.007824  0.205165  1.000000 -0.400225 -0.276226  0.471045
              0.9818    0.5451    0.0001    0.2226    0.4109    0.1436
JULIAN.4    0.480456  0.055856 -0.400225  1.000000 -0.118789 -0.475264
              0.1347    0.8704    0.2226    0.0001    0.7279    0.1396
JULIAN.5   -0.156329 -0.338850 -0.276226 -0.118789  1.000000 -0.339866
              0.6462    0.3080    0.4109    0.7279    0.0001    0.3065
JULIAN.6   -0.518459 -0.028763  0.471045 -0.475264 -0.339866  1.000000
              0.1023    0.9331    0.1436    0.1396    0.3065    0.0001
Test for Sphericity: Mauchly's Criterion = 0.0669579
Chisquare Approximation = 21.028714 with 20 df   Prob > Chisquare = 0.3954
Manova Test Criteria and Exact F Statistics for 
the Hypothesis of no JULIAN Effect
H = Type I SS&CP Matrix for JULIAN   E = Error SS&CP Matrix
S=1    M=2    N=1.5
Statistic                     Value          F      Num DF    Den DF  Pr > F
Wilks' Lambda              0.13063553     5.5457         6         5  0.0400
Pillai's Trace             0.86936447     5.5457         6         5  0.0400
Hotelling-Lawley Trace     6.65488518     5.5457         6         5  0.0400
Roy's Greatest Root        6.65488518     5.5457         6         5  0.0400
Manova Test Criteria and Exact F Statistics for 
the Hypothesis of no JULIAN*TISSUE Effect
H = Type I SS&CP Matrix for JULIAN*TISSUE   E = Error SS&CP Matrix
S=1    M=2    N=1.5
Statistic                     Value          F      Num DF    Den DF  Pr > F
Wilks' Lambda              0.21166956     3.1036         6         5  0.1173
Pillai's Trace             0.78833044     3.1036         6         5  0.1173
Hotelling-Lawley Trace     3.72434493     3.1036         6         5  0.1173
Roy's Greatest Root        3.72434493     3.1036         6         5  0.1173
General Linear Models Procedure
Repeated Measures Analysis of Variance
Tests of Hypotheses for Between Subjects Effects
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
TISSUE                   1      35.90198876     35.90198876     29.76     0.0003
Error                   10      12.06474519      1.20647452
General Linear Models Procedure
Repeated Measures Analysis of Variance
Univariate Tests of Hypotheses for Within Subject Effects
Source: JULIAN
                                                                   Adj  Pr > F
     DF         Type I SS       Mean Square   F Value   Pr > F    G - G    H - F
      6       93.21110731       15.53518455     12.40   0.0001   0.0001   0.0001
Source: JULIAN*TISSUE
                                                                   Adj  Pr > F
     DF         Type I SS       Mean Square   F Value   Pr > F    G - G    H - F
      6       17.01045807        2.83507635      2.26   0.0491   0.0968   0.0577
Source: Error(JULIAN)
     DF         Type I SS       Mean Square
     60       75.14817748        1.25246962
Greenhouse-Geisser Epsilon = 0.5312
       Huynh-Feldt Epsilon = 0.8868
General Linear Models Procedure
Repeated Measures Analysis of Variance
Analysis of Variance of Contrast Variables
JULIAN.N represents the nth degree polynomial contrast for JULIAN
Contrast Variable: JULIAN.1            
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
MEAN                     1      73.71945589     73.71945589     26.91     0.0004
TISSUE                   1       6.44455483      6.44455483      2.35     0.1561
Error                   10      27.39687345      2.73968734
Contrast Variable: JULIAN.2
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
MEAN                     1      16.53994026     16.53994026     21.26     0.0010
TISSUE                   1       1.06560438      1.06560438      1.37     0.2690
Error                   10       7.77942893      0.77794289
Contrast Variable: JULIAN.3
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
MEAN                     1       1.18002159      1.18002159      0.76     0.4036
TISSUE                   1       0.32201707      0.32201707      0.21     0.6584
Error                   10      15.51494771      1.55149477
Contrast Variable: JULIAN.4
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
MEAN                     1       1.04190309      1.04190309      1.07     0.3261
TISSUE                   1       7.62108321      7.62108321      7.80     0.0190
Error                   10       9.76925736      0.97692574
Contrast Variable: JULIAN.5
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
MEAN                     1       0.55166841      0.55166841      0.83     0.3836
TISSUE                   1       0.99066582      0.99066582      1.49     0.2500
Error                   10       6.64213326      0.66421333
Contrast Variable: JULIAN.6
Source                  DF        Type I SS     Mean Square   F Value     Pr > F
MEAN                     1       0.17811808      0.17811808      0.22     0.6481
TISSUE                   1       0.56653276      0.56653276      0.70     0.4210
Error                   10       8.04553677      0.80455368
General Linear Models Procedure
Least Squares Means
TISSUE         CONC1         CONC2         CONC3         CONC4         CONC5
              LSMEAN        LSMEAN        LSMEAN        LSMEAN        LSMEAN
flo       6.58966667    6.74766667    7.11000000    7.25383333    7.78900000
veg       9.53266667    7.75850000    8.35733333    8.76850000    9.55083333
TISSUE         CONC6         CONC7
              LSMEAN        LSMEAN
flo       9.50400000    10.1246667
veg       9.22000000    11.0836667
                              The MIXED Procedure              
                            Class Level Information            
                 Class     Levels  Values                      
                 TISSUE         2  flo veg                     
                 SAMPLE         6  1 2 3 4 5 6                 
                 WP            12  1 2 3 4 5 6 7 8 9 10 11 12  
                 DATE           7  179 200 221 242 269 290 320 
                              The MIXED Procedure                
                       REML Estimation Iteration History         
               Iteration  Evaluations     Objective     Criterion
                       0            1  110.47464172              
                       1            3  110.45096519    0.00001750
                       2            2  110.45002541    0.00000003
                       3            1  110.45002385    0.00000000
Convergence criteria met.
                              The MIXED Procedure                           
                     Covariance Parameter Estimates (REML)                  
    Cov Parm             Ratio      Estimate     Std Error       Z  Pr > |Z|
    SAMPLE          0.00762995    0.00943417    0.06373588    0.15    0.8823
    WP(SAMPLE)      0.00000000    0.00000000             .       .         .
    Residual        1.00000000    1.23646471    0.21689026    5.70    0.0000
                              The MIXED Procedure           
                       Model Fitting Information for CONC   
                    Description                        Value
                    Observations                     84.0000
                    Variance Estimate                 1.2365
                    Standard Deviation Estimate       1.1120
                    REML Log Likelihood             -119.551
                    Akaike's Information Criterion  -122.551
                    Schwarz's Bayesian Criterion    -125.923
                    -2 REML Log Likelihood          239.1014
                              The MIXED Procedure            
                            Tests of Fixed Effects           
                  Source        NDF   DDF  Type III F  Pr > F
                  TISSUE          1    60       29.04  0.0000
                  DATE            6    60       12.56  0.0000
                  TISSUE*DATE     6    60        2.29  0.0465
                              The MIXED Procedure              
                            Class Level Information            
                 Class     Levels  Values                      
                 TISSUE         2  flo veg                     
                 SAMPLE         6  1 2 3 4 5 6                 
                 WP            12  1 2 3 4 5 6 7 8 9 10 11 12  
                 DATE           7  179 200 221 242 269 290 320 
                              The MIXED Procedure                
                       REML Estimation Iteration History         
               Iteration  Evaluations     Objective     Criterion
                       0            1  115.28481134              
                       1            1  115.21243126    0.00000000
Convergence criteria met.
                              The MIXED Procedure                         
                     Covariance Parameter Estimates (REML)                
     Cov Parm          Ratio      Estimate     Std Error       Z  Pr > |Z|
     DIAG CS     -0.02373201   -0.02972362    0.09985719   -0.30    0.7660
     Residual     1.00000000    1.25246962    0.22866862    5.48    0.0000
                              The MIXED Procedure           
                       Model Fitting Information for CONC   
                    Description                        Value
                    Observations                     84.0000
                    Variance Estimate                 1.2525
                    Standard Deviation Estimate       1.1191
                    REML Log Likelihood             -117.337
                    Akaike's Information Criterion  -119.337
                    Schwarz's Bayesian Criterion    -121.512
                    -2 REML Log Likelihood          234.6744
                    Null Model LRT Chi-Square         0.0724
                    Null Model LRT DF                 1.0000
                    Null Model LRT P-Value            0.7879
                              The MIXED Procedure            
                            Tests of Fixed Effects           
                  Source        NDF   DDF  Type III F  Pr > F
                  SAMPLE          5    65        1.31  0.2706
                  TISSUE          1    65       34.38  0.0000
                  DATE            6    65       12.40  0.0000
                              The MIXED Procedure            
                            Tests of Fixed Effects           
                  Source        NDF   DDF  Type III F  Pr > F
                  TISSUE*DATE     6    65        2.26  0.0480
                              The MIXED Procedure             
                            Class Level Information           
                 Class     Levels  Values                     
                 TISSUE         2  flo veg                    
                 SAMPLE         6  1 2 3 4 5 6                
                 WP            12  1 2 3 4 5 6 7 8 9 10 11 12 
                              The MIXED Procedure                
                       REML Estimation Iteration History         
               Iteration  Evaluations     Objective     Criterion
                       0            1  220.59209068              
                       1            1  220.48419471    0.00000000
Convergence criteria met.
                              The MIXED Procedure                         
                     Covariance Parameter Estimates (REML)                
     Cov Parm          Ratio      Estimate     Std Error       Z  Pr > |Z|
     DIAG CS     -0.02848487   -0.03715901    0.09978352   -0.37    0.7096
     Residual     1.00000000    1.30451741    0.22708733    5.74    0.0000
                              The MIXED Procedure           
                       Model Fitting Information for CONC   
                    Description                        Value
                    Observations                     84.0000
                    Variance Estimate                 1.3045
                    Standard Deviation Estimate       1.1422
                    REML Log Likelihood             -175.487
                    Akaike's Information Criterion  -177.487
                    Schwarz's Bayesian Criterion    -179.749
                    -2 REML Log Likelihood          350.9735
                    Null Model LRT Chi-Square         0.1079
                    Null Model LRT DF                 1.0000
                    Null Model LRT P-Value            0.7426
                              The MIXED Procedure                
                             Tests of Fixed Effects              
               Source                 NDF   DDF  Type I F  Pr > F
               SAMPLE                   5    71      1.31  0.2695
               TISSUE                   1    71     34.38  0.0000
               DATE                     1    71     56.51  0.0000
               DATE*TISSUE              1    71      4.94  0.0294
                              The MIXED Procedure                
                             Tests of Fixed Effects              
               Source                 NDF   DDF  Type I F  Pr > F
               DATE*DATE                1    71     12.68  0.0007
               DATE*DATE*TISSUE         1    71      0.82  0.3692
               DATE*DATE*DATE           1    71      0.90  0.3448
               DATE*DATE*DATE*TISSU     1    71      0.25  0.6208
