I have a time serie of 10 time points, including Treated and Control samples.
In total my data contains 20 columns.
I have grouped Treated and Control samples into 3 categories, Early, mid and
late. I want to compare The early Treated Group with the early Control
group, The mid Treated with the mid Control and so on...
Is this the correct way of making a design matrix? I am uncertain about the
results I get.
> Time <-
> factor(c("Early","Early","Early","Early","Mid","Mid","Late","Late","Late","Late","Early","Early","Early","Early","Mid","Mid","Late","Late","Late","Late"))
> Condition <-
> factor(c("T","T","T","T","T","T","T","T","T","T","C","C","C","C","C","C","C","C","C","C"))
> data.frame(Sample=colnames(y),Time,Condition)
Sample Time Condition
1 T0h Early T
2 T0.25h Early T
3 T0.5h Early T
4 T1h Early T
5 T2h Mid T
6 T3h Mid T
7 T6h Late T
8 T12h Late T
9 T24h Late T
10 T48h Late T
11 C0h Early C
12 C0.25h Early C
13 C0.5h Early C
14 C1h Early C
15 C2h Mid C
16 C3h Mid C
17 C6h Late C
18 C12h Late C
19 C24h Late C
20 C48h Late C
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