[R] help setting up crossed data

[derrick]

Hello, and thanks for your time reading this.   I'm trying to test
interactions of my dataset, in which the all of the factors are within the
same column.  
	Type	Vol
1	CMass	-4.598
2	BBack	-4.605
3	BMass	-4.602
4	CMass	-4.601
5	CBack	-4.605
6	CMass	-4.604
7	CMass	-4.602
8	CMass	-4.604
9	CBack	-4.605
10	BBack	-4.503
11	CMass	-4.605

Im attempting to determine the interaction effects of B or C on Mass and
Back
Looking for a set up as such Volume ~ CorB + MassorBack + CorB:MassorBack
is there an easy way to arrange the data so I can have the factors in column
1 broken down as I'd like?  

Here if my current setup of the situation, In which I don't consider the
interactions.  please forgive the armature coding.

if (T) {
  #Arrange all data in a 2 column matrix as such: [Tissue Type, Measure]
  measure = matrix(NA,4812,2)
  measure=data.frame(measure)
  for (i in a:b) {
    #loads threshold factor
    measure[,1] = data[,1]
    #loads ith threshold
    measure[,2] = data[,i]
    measure$X1=factor(measure$X1, levels =
c('CMass','BMass','CBack','BBack'))
    measure.aov= aov(X2 ~ X1,data = measure)
    #prints results
    print(TukeyHSD(measure.aov, order= TRUE, conf.level = .995))
  }
}







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