Created
November 12, 2015 23:07
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Prediction using absolute values vs positive and negative values
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| m <- 100 | |
| n <- 100 | |
| eff <- rnorm(m) | |
| x <- matrix(rbinom(m*n,2,0.5), n, m) | |
| yhat <- x %*% eff | |
| index <- sign(eff) == -1 | |
| eff1 <- abs(eff) | |
| x1 <- x | |
| for(i in 1:ncol(x)) | |
| { | |
| if(index[i]) | |
| { | |
| x1[,i] <- 2 - x[, i] | |
| } | |
| } | |
| yhat1 <- x1 %*% eff1 | |
| plot(yhat ~ yhat1) |
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