Hello everyone. I have conducted the research on post harvest longevity of tomato crop using plastic packaging and different doses of chemicals as two different factors. The design of experiment I used is 2 factor CRD. Will anyone help me with the codes for data analysis using Rstudio. Also help me with different clues and considerations to be taken for data anlysis.
This is pretty straightforward:
#generating example data
dat=expand.grid(block=c("A","B","C",D",FactA=c("A","B"),FactB=c("A","B"),response=rnorm(16,10,3))
#fitting RCBD linear model
mod=lm(response~block+FactA*FactB,dat) # you could also consider glm poisson
anova(mod)
# checking model assumtions #
plot(mod)
#different contrasts which could be of interest
require("emmeans")
emmeans(mod,~FactA)
emmeans(mod,~FactB)
emmeans(mod,~FactA*FactB)
emmeans(mod,~FactA|FactB)
emmeans(mod,~FactB|FactA)
#you can also wrap these up in a multcomp::CLD() call to get groups
Dear Poudel I think this link can help you to work with R Studio
https://datacarpentry.org/R-genomics/01-intro-to-R.html
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