Created
April 16, 2018 10:02
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| # 1 covariate and intercept | |
| d <- as.matrix(data.frame(intercept = 1, x1 = rnorm(100))) | |
| # Many responses | |
| many_ys <- matrix(d[, 'x1'] * rep(0:10, each = 100) + rnorm(11 * 100, sd = 0.1), ncol = 11) | |
| # Empty list to save our models into. | |
| models <- list() | |
| for(i in 1:11){ | |
| models[[i]] <- glm.fit(d, many_ys[, i]) | |
| } | |
| models[[5]]$coefficients | |
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