dataframe - using GerminR and normalizing germination data

Question

library(rstatix)

germination<-read.table(file="Germination_data_for_R.csv", header =
TRUE, sep = ',')


EPPO <-as.factor(germination$EPPO)
Alt<-as.factor(germination$Alternariage)
Steril<-as.factor(germination$Sterilized)
rep<-as.factor(germination$?..R)

wilcox.test(D7~EPPO)
              boxplot(subset(D7),data=germination)
             

gsm<-ger_summary(SeedN = "seeds", evalName = "D", data =germination)


av <- aov(D ~ EPPO+ Alt +Steril, data = germination)

summary(germination) pairs(germination) cor(germination)```

I am quite new to R and am sure that I am missing something that isnt that complicated. Any help would be appreciated

I am trying to analyze germination data that I created with three different factors using 3 replicates of each treatment and 50 replications within each treatment.

Right now I am struggling with:

1)Getting R to recognize Day0-7 (D0-D7) I keep getting this error:Error in eval(predvars, data, env) : object 'D7' not found

2. I found a package GerminaR that is supposed to be able to help process germination data with multiple factors...the ultimate goal is ANOVA on the different treatments, but whenever I try to run the Anova I get:Error in model.frame.default(formula = D ~ EPPO + Alt + Steril, data = germination, : object is not a matrix

[> Blockquote][1]

I have attached an image of my data here [1]: https://i.stack.imgur.com/8vd09.png

Answer 1

等待大神解答