Hello everyone! welcome to my tutorial page hosted on GitHub. Here, I have complied some basic tutorial of statistical and phylogenetic analysis. Statistical analysis can be execute in R statistical programming. Different free softwares can be used for phylogenetic analysis.
library(“ggplot2”) library(“ggpubr”)
data(“PlantGrowth”) str(PlantGrowth)
ggqqplot(PlantGrowth$weight) #create Q-Q plot ggplot(PlantGrowth, aes(x=weight)) + geom_density() #create density curve shapiro.test(PlantGrowth$weight) #normality test statistics
bartlett.test(weight~group,data=PlantGrowth)
ANOVA=aov(weight~group,data=PlantGrowth) summary(ANOVA) #summary of anova
TukeyHSD(ANOVA)
ggboxplot(PlantGrowth,x=”group”,y=”weight”,width=0.8,fill=”lightblue”)