RUNNING TESTS FOR  Periderm_width.csv 
ANOVA test:
            Df Sum Sq Mean Sq F value Pr(>F)
Name         7  2.129  0.3041   1.126   0.36
Residuals   56 15.118  0.2700               

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

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

$Name
                                 diff        lwr       upr     p adj
chal cll1-chal           -0.084222222 -0.9463495 0.7779051 0.9999856
chal cll1 cll2-chal      -0.009904762 -0.9199640 0.9001545 1.0000000
chal cll2-chal            0.109866667 -0.7348421 0.9545754 0.9998992
cll1-chal                 0.290095238 -0.6199640 1.2001545 0.9720254
cll1 cll2-chal            0.066333333 -0.7957939 0.9284606 0.9999972
cll2-chal                -0.332933333 -1.1776421 0.5117754 0.9158648
WT-chal                   0.188833333 -0.7555798 1.1332465 0.9982953
chal cll1 cll2-chal cll1  0.074317460 -0.7500339 0.8986688 0.9999917
chal cll2-chal cll1       0.194088889 -0.5574962 0.9456740 0.9916824
cll1-chal cll1            0.374317460 -0.4500339 1.1986688 0.8396456
cll1 cll2-chal cll1       0.150555556 -0.6205545 0.9216656 0.9985358
cll2-chal cll1           -0.248711111 -1.0002962 0.5028740 0.9656919
WT-chal cll1              0.273055556 -0.5890717 1.1351828 0.9729997
chal cll2-chal cll1 cll2  0.119771429 -0.6863456 0.9258884 0.9997544
cll1-chal cll1 cll2       0.300000000 -0.5743566 1.1743566 0.9583624
cll1 cll2-chal cll1 cll2  0.076238095 -0.7481133 0.9005894 0.9999901
cll2-chal cll1 cll2      -0.323028571 -1.1291456 0.4830884 0.9088990
WT-chal cll1 cll2         0.198738095 -0.7113212 1.1087973 0.9970238
cll1-chal cll2            0.180228571 -0.6258884 0.9863456 0.9965530
cll1 cll2-chal cll2      -0.043533333 -0.7951185 0.7080518 0.9999996
cll2-chal cll2           -0.442800000 -1.1743393 0.2887393 0.5529794
WT-chal cll2              0.078966667 -0.7657421 0.9236754 0.9999893
cll1 cll2-cll1           -0.223761905 -1.0481133 0.6005894 0.9888173
cll2-cll1                -0.623028571 -1.4291456 0.1830884 0.2460800
WT-cll1                  -0.101261905 -1.0113212 0.8087973 0.9999649
cll2-cll1 cll2           -0.399266667 -1.1508518 0.3523185 0.7044101
WT-cll1 cll2              0.122500000 -0.7396273 0.9846273 0.9998176
WT-cll2                   0.521766667 -0.3229421 1.3664754 0.5272675

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

RUNNING TESTS FOR  Stele_radius.csv 
ANOVA test:
            Df Sum Sq Mean Sq F value  Pr(>F)   
Name         7  607.6   86.80   3.706 0.00232 **
Residuals   56 1311.6   23.42                   
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

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

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

$Name
                               diff         lwr        upr     p adj
chal cll1-chal            4.3608571  -3.7834209 12.5051352 0.6961316
chal cll1 cll2-chal      -2.2303036 -10.1159668  5.6553597 0.9857810
chal cll2-chal            5.9043714  -1.6042819 13.4130247 0.2272090
cll1-chal                 3.6882857  -4.4559923 11.8325637 0.8414565
cll1 cll2-chal            0.8167937  -6.8617053  8.4952926 0.9999742
cll2-chal                -2.8989286 -10.4075819  4.6097247 0.9239221
WT-chal                   1.1625714  -7.3142619  9.6394047 0.9998561
chal cll1 cll2-chal cll1 -6.5911607 -14.4768240  1.2945026 0.1665704
chal cll2-chal cll1       1.5435143  -5.9651390  9.0521676 0.9979669
cll1-chal cll1           -0.6725714  -8.8168494  7.4717066 0.9999955
cll1 cll2-chal cll1      -3.5440635 -11.2225624  4.1344355 0.8281804
cll2-chal cll1           -7.2597857 -14.7684390  0.2488676 0.0650159
WT-chal cll1             -3.1982857 -11.6751190  5.2785476 0.9321102
chal cll2-chal cll1 cll2  8.1346750   0.9073452 15.3620048 0.0171162
cll1-chal cll1 cll2       5.9185893  -1.9670740 13.8042526 0.2796013
cll1 cll2-chal cll1 cll2  3.0470972  -4.3565348 10.4507292 0.8966569
cll2-chal cll1 cll2      -0.6686250  -7.8959548  6.5587048 0.9999901
WT-chal cll1 cll2         3.3928750  -4.8358019 11.6215519 0.8957689
cll1-chal cll2           -2.2160857  -9.7247390  5.2925676 0.9818342
cll1 cll2-chal cll2      -5.0875778 -12.0882889  1.9131334 0.3183719
cll2-chal cll2           -8.8033000 -15.6172919 -1.9893081 0.0035298
WT-chal cll2             -4.7418000 -12.6099201  3.1263201 0.5584699
cll1 cll2-cll1           -2.8714921 -10.5499910  4.8070069 0.9350583
cll2-cll1                -6.5872143 -14.0958676  0.9214390 0.1259265
WT-cll1                  -2.5257143 -11.0025476  5.9511190 0.9808251
cll2-cll1 cll2           -3.7157222 -10.7164334  3.2849889 0.7053270
WT-cll1 cll2              0.3457778  -7.6845886  8.3761442 1.0000000
WT-cll2                   4.0615000  -3.8066201 11.9296201 0.7333307

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

RUNNING TESTS FOR  Xylem_radius.csv 
ANOVA test:
            Df Sum Sq Mean Sq F value Pr(>F)  
Name         7  185.7   26.52   2.299 0.0398 *
Residuals   54  622.9   11.54                 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

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

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

$Name
                               diff        lwr       upr     p adj
chal cll1-chal            2.1825238  -3.774639 8.1396864 0.9409183
chal cll1 cll2-chal      -2.5839583  -8.366727 3.1988103 0.8492824
chal cll2-chal            0.8868889  -4.756515 6.5302933 0.9996388
cll1-chal                -1.0563333  -7.238373 5.1257064 0.9993739
cll1 cll2-chal            0.6604444  -4.982960 6.3038488 0.9999499
cll2-chal                -2.9776333  -8.507018 2.5517511 0.6885752
WT-chal                   0.5113810  -5.445782 6.4685435 0.9999940
chal cll1 cll2-chal cll1 -4.7664821 -10.308195 0.7752309 0.1413129
chal cll2-chal cll1      -1.2956349  -6.691762 4.1004918 0.9945804
cll1-chal cll1           -3.2388571  -9.196020 2.7183054 0.6782515
cll1 cll2-chal cll1      -1.5220794  -6.918206 3.8740473 0.9858425
cll2-chal cll1           -5.1601571 -10.436923 0.1166092 0.0595938
WT-chal cll1             -1.6711429  -7.394600 4.0523138 0.9827266
chal cll2-chal cll1 cll2  3.4708472  -1.732115 8.6738090 0.4260756
cll1-chal cll1 cll2       1.5276250  -4.255144 7.3103937 0.9903641
cll1 cll2-chal cll1 cll2  3.2444028  -1.958559 8.4473645 0.5135957
cll2-chal cll1 cll2      -0.3936750  -5.472739 4.6853889 0.9999970
WT-chal cll1 cll2         3.0953393  -2.446374 8.6370524 0.6482023
cll1-chal cll2           -1.9432222  -7.586627 3.7001821 0.9571541
cll1 cll2-chal cll2      -0.2264444  -5.274059 4.8211699 0.9999999
cll2-chal cll2           -3.8645222  -8.784328 1.0552836 0.2275950
WT-chal cll2             -0.3755079  -5.771635 5.0206188 0.9999986
cll1 cll2-cll1            1.7167778  -3.926627 7.3601821 0.9782021
cll2-cll1                -1.9213000  -7.450684 3.6080844 0.9550601
WT-cll1                   1.5677143  -4.389448 7.5248768 0.9905795
cll2-cll1 cll2           -3.6380778  -8.557884 1.2817281 0.2962267
WT-cll1 cll2             -0.1490635  -5.545190 5.2470632 1.0000000
WT-cll2                   3.4890143  -1.787752 8.7657806 0.4376043

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

