Statistical analysis Total Area of Root transverse sections:

-------------------------------------
RUNNING TESTS FOR  Area-LAU1875-1877.csv 
-------------------------------------
ALL GROUPS *NOT* NORMAL, DO KRUSKAL WALLIS TEST

SIGNIFICANT DIFFERENCE BETWEEN GROUPS, DO DUNN TEST

 Dunn's test of multiple comparisons using rank sums : holm  

                    mean.rank.diff   pval    
WT (Col0)-pxl1 pxl2      -6.285714 0.0432 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

-------------------------------------
RUNNING TESTS FOR  Area-LAU1879-1882.csv 
-------------------------------------
ALL GROUPS ARE NORMAL, DO LEVENE TEST + ANOVA

VARIANCES ARE HOMOGENEOUS, DO TUKEY TEST

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = Area ~ Name, data = current_data)

$Name
                                        diff        lwr      upr     p adj
At3g47570-LRR-AT1G07650-LRR        -682.5459 -4459.6187 3094.527 0.9631206
At3g47570-LRR Homo?-AT1G07650-LRR -1006.7153 -5012.9059 2999.475 0.9086965
WT (Col0)-AT1G07650-LRR            2368.8627 -1637.3280 6375.053 0.4039164
At3g47570-LRR Homo?-At3g47570-LRR  -324.1693 -4330.3600 3682.021 0.9964408
WT (Col0)-At3g47570-LRR            3051.4086  -954.7821 7057.599 0.1929174
WT (Col0)-At3g47570-LRR Homo?      3375.5779  -847.3178 7598.474 0.1594680

-------------------------------------
RUNNING TESTS FOR  Area-LAU1885-1888.csv 
-------------------------------------
ALL GROUPS ARE NORMAL, DO LEVENE TEST + ANOVA

VARIANCES *NOT* HOMOGENEOUS, DO TAMHANE T2 TEST

	Pairwise comparisons using Tamhane's T2-test for unequal variances

data: Area by Name

          35S:PSKR1
WT (Col0) 0.98     

P value adjustment method: T2 (Sidak)
alternative hypothesis: two.sided
-------------------------------------
RUNNING TESTS FOR  Area-LAU1894-1897.csv 
-------------------------------------
ALL GROUPS ARE NORMAL, DO LEVENE TEST + ANOVA

VARIANCES ARE HOMOGENEOUS, DO TUKEY TEST

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = Area ~ Name, data = current_data)

$Name
                                     diff        lwr      upr     p adj
pxf er-pxf (pxy pxl1 pxl2)      1781.2072 -2033.7907 5596.205 0.6011090
pxf er erl2-pxf (pxy pxl1 pxl2) 2214.1259 -1513.7755 5942.027 0.3970370
WT (Col0)-pxf (pxy pxl1 pxl2)   4822.2939  1094.3925 8550.195 0.0065340
pxf er erl2-pxf er               432.9186 -3454.2525 4320.090 0.9907287
WT (Col0)-pxf er                3041.0866  -846.0845 6928.258 0.1726569
WT (Col0)-pxf er erl2           2608.1680 -1193.5603 6409.896 0.2724908

-------------------------------------
RUNNING TESTS FOR  Area-LAU1902-1905.csv 
-------------------------------------
ALL GROUPS ARE NORMAL, DO LEVENE TEST + ANOVA

VARIANCES *NOT* HOMOGENEOUS, DO TAMHANE T2 TEST

	Pairwise comparisons using Tamhane's T2-test for unequal variances

data: Area by Name

                                    er erl2 (PD45-3) pxy pxl1 pxl2 er erl1 erl2
pxy pxl1 pxl2 er erl1 erl2          6.4e-06          -                         
pxy pxl1 pxl2 er erl2 erl1/+ or +/+ 0.0079           3.8e-05                   
WT (Col0)                           0.1918           1.7e-07                   
                                    pxy pxl1 pxl2 er erl2 erl1/+ or +/+
pxy pxl1 pxl2 er erl1 erl2          -                                  
pxy pxl1 pxl2 er erl2 erl1/+ or +/+ -                                  
WT (Col0)                           1.4e-05                            

P value adjustment method: T2 (Sidak)
alternative hypothesis: two.sided
-------------------------------------
RUNNING TESTS FOR  Area-LAU1914-1917.csv 
-------------------------------------
ALL GROUPS ARE NORMAL, DO LEVENE TEST + ANOVA

VARIANCES ARE HOMOGENEOUS, DO TUKEY TEST

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = Area ~ Name, data = current_data)

$Name
                                   diff        lwr        upr     p adj
pxl1 pxl2-pxf (pxy pxl1 pxl2)  9189.683  6038.6735 12340.6916 0.0000000
pxy-pxf (pxy pxl1 pxl2)        3117.788   226.4470  6009.1292 0.0299234
WT (Col0)-pxf (pxy pxl1 pxl2)  5661.097  2657.1556  8665.0381 0.0000408
pxy-pxl1 pxl2                 -6071.895 -9265.4084 -2878.3807 0.0000350
WT (Col0)-pxl1 pxl2           -3528.586 -6824.3922  -232.7792 0.0315132
WT (Col0)-pxy                  2543.309  -505.1885  5591.8061 0.1327061
