The scenario is like this. A study population given "vitamin D supp" (yes/no variable) and followed up to measure outcome "skin cancer" (again yes/no). The design matrix (1) I used is
design<-model.matrix(~0+vitd, data)
colnames(design)
[1] "vitd" "vitdn" "vitdy"
The patients were also measured for exposure to sunlight "sun" (yes/no variable) To measure the influence of "sun" in design matrix (1), I used another matrix
design<-model.matrix(~vitd+sun, data)
colnames(design)
[1] "(Intercept)" "vitdy" "sunsunn" "sunsuny"
My questions
- Are the design matrix correct to measure role of "vitamin D supp" ALONE and WITH "sunlight" separately.
- Definitely the DE RNA with be different while using two designs. So, how to know which rna are due to vitamin D alone
- How to know which RNA are due to "sun" alone
Thanks
Thanks for the comment. For effect of vitD with sunlight..is it
vitD_y_Sun_y - vitD_n_Sun_y
orvitD_y_Sun_y - vitD_n_Sun_n
One more question. I created heatmap using heatmap.2 for both contrasts which gives the same heatmap. Why is it ? I created
toptags
for both contrasts separately which gives different lists of miRNAs but the heatmap remains the same. Is there anything wrong. ThanksIf you want to have the effect of vit D in patients that all received sunlight
vitD_y_Sun_y - vitD_n_Sun_y
would be the right contrast. Please start a new question if you don't get the heatmap right, and show your code in that new question (not enough info now).