Trying to run manova on this data:
Create a data.frame:
acc <- data.frame(Degrees = c("5","8","10"), MPH10=c(0.35, 0.37, 0.32),
MPH25=c(0.19, 0.28, 0.30), MPH40=c(0.14, 0.19, 0.29), MPH55=c(0.10, 0.19, 0.23))
check the data.frame:
acc
Degrees MPH10 MPH25 MPH40 MPH55
1 5 0.35 0.19 0.14 0.10
2 8 0.37 0.28 0.19 0.19
3 10 0.32 0.30 0.29 0.23
I type in:
acc_manova <- manova(cbind(MPH10,MPH25,MPH40,MPH55) ~ Degrees, data = acc)
then run it:
acc_manova
I get an error message:
Call:
manova(cbind(MPH10, MPH25, MPH40, MPH55) ~ as.factor(Degrees),
data = acc)
Terms:
Error in dimnames(tmp) <- list(c(rn, "Deg. of Freedom"), nmeffect) :
length of 'dimnames' [1] not equal to array extent
So I figure it has to do with the names of the degrees column: d05,d08,d10 so I dropped the d and 0 place holder. Had the same error message
then I added as.factor(Degrees), ran acc_manova again, and came up with the same error.
Any ideas on this?
Your Degrees column is not numeric, but a factor (categorical data). Changing the factor to numeric solves your problem:
acc$Degrees = as.numeric(acc$Degrees)
acc_manova <- manova(cbind(MPH10,MPH25,MPH40,MPH55) ~ Degrees, data = acc)
> acc_manova
Call:
manova(cbind(MPH10, MPH25, MPH40, MPH55) ~ Degrees, data = acc)
Terms:
Degrees Residuals
resp 1 1.2500e-03 1.6667e-05
resp 2 0.000200000 0.006666667
resp 3 0.005000000 0.006666667
resp 4 0.000800000 0.008066667
Deg. of Freedom 1 1
Residual standard error: 0.004082483 0.08164966 0.08164966 0.08981462
Estimated effects may be unbalanced