Statistical analysis for Periderm area/total area:

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RUNNING TESTS FOR  Periderm-LAU1875-1877.csv 
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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 = Ratio ~ Name, data = current_data)

$Name
                            diff         lwr        upr     p adj
WT (Col0)-pxl1 pxl2 -0.007565758 -0.03201523 0.01688371 0.5297147

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RUNNING TESTS FOR  Periderm-LAU1879-1882.csv 
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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    
At3g47570-LRR-AT1G07650-LRR           12.6666667 0.1098    
At3g47570-LRR Homo?-AT1G07650-LRR     13.0500000 0.1098    
WT (Col0)-AT1G07650-LRR               -2.0333333 1.0000    
At3g47570-LRR Homo?-At3g47570-LRR      0.3833333 1.0000    
WT (Col0)-At3g47570-LRR              -14.7000000 0.0950 .  
WT (Col0)-At3g47570-LRR Homo?        -15.0833333 0.0950 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

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RUNNING TESTS FOR  Periderm-LAU1885-1887.csv 
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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: Ratio by Name

          35S:PSKR1
WT (Col0) 0.24     

P value adjustment method: T2 (Sidak)
alternative hypothesis: two.sided
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RUNNING TESTS FOR  Periderm-LAU1894-1897.csv 
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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 = Ratio ~ Name, data = current_data)

$Name
                                        diff         lwr        upr     p adj
pxf er-pxf (pxy pxl1 pxl2)       0.003934700 -0.04363630 0.05150570 0.9961418
pxf er erl2-pxf (pxy pxl1 pxl2) -0.016757638 -0.06324258 0.02972731 0.7712194
WT (Col0)-pxf (pxy pxl1 pxl2)   -0.017758001 -0.06424295 0.02872695 0.7387015
pxf er erl2-pxf er              -0.020692338 -0.06916329 0.02777862 0.6672021
WT (Col0)-pxf er                -0.021692701 -0.07016366 0.02677826 0.6332462
WT (Col0)-pxf er erl2           -0.001000363 -0.04840589 0.04640517 0.9999348

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RUNNING TESTS FOR  Periderm-LAU1902-1905.csv 
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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    
pxy pxl1 pxl2 er erl1 erl2-er erl2 (PD45-3)                         -2.539683 0.9380    
pxy pxl1 pxl2 er erl2 erl1/+ or +/+-er erl2 (PD45-3)                16.802198 0.0092 ** 
WT (Col0)-er erl2 (PD45-3)                                           3.988095 0.9380    
pxy pxl1 pxl2 er erl2 erl1/+ or +/+-pxy pxl1 pxl2 er erl1 erl2      19.341880 0.0087 ** 
WT (Col0)-pxy pxl1 pxl2 er erl1 erl2                                 6.527778 0.8710    
WT (Col0)-pxy pxl1 pxl2 er erl2 erl1/+ or +/+                      -12.814103 0.0889 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

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RUNNING TESTS FOR  Periderm-LAU1914-1917.csv 
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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 = Ratio ~ Name, data = current_data)

$Name
                                      diff         lwr         upr     p adj
pxl1 pxl2-pxf (pxy pxl1 pxl2) -0.050753751 -0.08877187 -0.01273563 0.0045779
pxy-pxf (pxy pxl1 pxl2)        0.007597875 -0.02728725  0.04248300 0.9381062
WT (Col0)-pxf (pxy pxl1 pxl2) -0.055769902 -0.09201359 -0.01952621 0.0008691
pxy-pxl1 pxl2                  0.058351626  0.01982067  0.09688258 0.0010669
WT (Col0)-pxl1 pxl2           -0.005016151 -0.04478131  0.03474901 0.9868913
WT (Col0)-pxy                 -0.063367777 -0.10014905 -0.02658650 0.0001758