GrowthData

Simple plant treatment growth ANOVA data analysis and bar chart with error bars in python.

Example Output:

ANOVA test for Weight sum_sq df F PR(>F) C(Treatment) 25.615139 2.0 0.300724 0.742289 Residual 1405.439583 33.0 NaN NaN P-value: 0.7422889721250909

ANOVA test for Root sum_sq df F PR(>F) C(Treatment) 282.166667 2.0 4.628749 0.016907 Residual 1005.833333 33.0 NaN NaN P-value: 0.016907042989067374 Performing Tukey's HSD test for Root as p-value < 0.05 Multiple Comparison of Means - Tukey HSD, FWER=0.05

group1 group2 meandiff p-adj lower upper reject

 1      2  -6.8333 0.0127 -12.3639 -1.3028   True
 1      3  -2.9167 0.4085  -8.4472  2.6139  False
 2      3   3.9167 0.2066  -1.6139  9.4472  False

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ANOVA test for Meristem sum_sq df F PR(>F) C(Treatment) 192.666667 2.0 4.792462 0.014885 Residual 663.333333 33.0 NaN NaN P-value: 0.014885311955771537 Performing Tukey's HSD test for Meristem as p-value < 0.05 Multiple Comparison of Means - Tukey HSD, FWER=0.05

group1 group2 meandiff p-adj lower upper reject

 1      2   2.8333 0.2822  -1.658  7.3246  False
 1      3  -2.8333 0.2822 -7.3246   1.658  False
 2      3  -5.6667 0.0108 -10.158 -1.1754   True

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ANOVA test for Total_Lng sum_sq df F PR(>F) C(Treatment) 126.166667 2.0 3.602682 0.038441 Residual 577.833333 33.0 NaN NaN P-value: 0.03844092948322258 Performing Tukey's HSD test for Total_Lng as p-value < 0.05 Multiple Comparison of Means - Tukey HSD, FWER=0.05

group1 group2 meandiff p-adj lower upper reject

 1      2  -2.1667 0.4227 -6.3585  2.0252  False
 1      3  -4.5833 0.0297 -8.7752 -0.3915   True
 2      3  -2.4167 0.3452 -6.6085  1.7752  False

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