2 Materials and Methods

The data was analyzed in the statistical software R (R Core Team, 2020). The germination analysis and graphics was carried out with the package GerminaR (Lozano Isla et al., 2020). Each variable was submitted at analysis of variance (ANOVA) and the mean comparison test used was Student-Newman Keuls (P<0.05) (de Mendiburu, 2020). For the multivariate analysis, the principal components analysis (PCA) and cluster hierarchical classification analysis (HCPC) will be used .

The vertical bars represent the means (±SE). The mean differences between the groups are represented by different capital letters and into the group different lowercase letters (SNK, p = 0.05) (Husson et al., 2020).

More information about multivarite analysis in http://factominer.free.fr/index.html. Explanation for intepretation and analysis:

PCA: https://www.youtube.com/watch?v=pks8m2ka7Pk&feature=youtu.be

HCPC: https://www.youtube.com/watch?v=4XrgWmN9erg

2.1 Data set

The data set used for this analysis is available in the following link: DATA SET

2.2 Nulla metus metus

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References

de Mendiburu, F. (2020). Agricolae: Statistical procedures for agricultural research. https://CRAN.R-project.org/package=agricolae
Husson, F., Josse, J., Le, S., & Mazet, J. (2020). FactoMineR: Multivariate exploratory data analysis and data mining. https://CRAN.R-project.org/package=FactoMineR
Lozano Isla, F., Benites Alfaro, O., Garcia de Santana, D., Ranal, M. A., & Pompelli, M. F. (2020). GerminaR: Indices and graphics for assess seed germination process. https://flavjack.github.io/germinaquant/
R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/