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In my dataset I have control and treatment groups for four plant varieties, with four replicates for each variety

Below is the format of the dataset with just two plant varieties (I have ~6000 proteins in my dataset) I need to do 2 way anova to see the differences of the treatment and variety and to get P value for each protein for treatment and variety effect. Can someone please help me to get this Anova done in R?

This link shows how my dataset looks proteomic dataset

  • Can you post data in `dput` format? Given the number of columns, subset the data with something like this: `cols <- seq_len(which(names(df) == "TreatmentVariety2_4")); dput(head(df[cols]))`. – Rui Barradas Feb 16 '21 at 06:27
  • Sorry. I'm extremely new to R. Is there any other way that I could send the dataset to you to look at and give it a try to get this 2 way Anova done? – Madhu Jayawardena Feb 17 '21 at 03:26

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