0
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.– Rui Barradas
Is it me or is it the same OP asking the same question?
– Marcus Nunes
@Marcusnunes I hadn’t noticed that. 9 days apart...
– Rui Barradas