Created
October 14, 2015 14:00
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example for zoe
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| newmat <- as.data.frame(t(mat)) | |
| newmat$ALN <- rownames(newmat) | |
| combineddata <- merge(bmi, newmat, by="ALN") | |
| # See if they are individually associated with BMI | |
| model <- lm(bmi ~ cpg1) | |
| lm(bmi$fm1 ~ newmat[,1]) | |
| lm(fm1 ~ cpg1, data = combineddata) | |
| summary(model) | |
| # Construct a predictor | |
| l <- letters | |
| l1 <- letters[10:1] | |
| index <- match(l1, l) | |
| index | |
| l | |
| l[index] | |
| l[index] == l1 |
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