Anova R table to compare data

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I have the following problem: Different percentages of cotton (15,20,25,30 and 35%) in an outfit to check if the higher the amount of cotton present, the higher the fiber resistance. And that’s the data:

 a=c(7,7,15,11,9)
 b=c(12,17,12,18,18)
 c=c(14,18,18,19,19)
 d=c(19,25,22,19,23)
 e=c(7,10,11,15,11)

i=c(a,b,c,d,e)


m=matrix(i,nrow=5,ncol=5,byrow=F)
colnames(m)<-c("15%","20%","25%","30%","35%")
m
      15% 20% 25% 30% 35%
[1,]   7  12  14  19   7
[2,]   7  17  18  25  10
[3,]  15  12  18  22  11
[4,]  11  18  19  19  15
[5,]   9  18  19  23  11

Someone could help set up a new table for this data to check if there really is a difference if the higher the percentage of cotton present, the greater the resistance of the fiber ?

  • Start with d <- as.data.frame(m) and see my response to this issue. If you need help afterwards, say anything.

  • Is it me or is it the same OP asking the same question?

  • @Marcusnunes I hadn’t noticed that. 9 days apart...

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