lebebr01
R/fixef_sim.r
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DESCRIPTION
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@@ -53,7 +53,6 @@
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| 53 | 53 | } |
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| 54 | 54 | } |
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| 55 | 55 | total_level2_samplesize <- sum(level2) |
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| 56 | - | sample_size['level2'] <- list(level2) |
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| 57 | 56 | ||
| 58 | 57 | if(1 %in% min_max_loc) { |
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| 59 | 58 | level1 <- runif(n = total_level2_samplesize, |
@@ -68,6 +67,7 @@
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| 68 | 67 | } |
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| 69 | 68 | } |
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| 70 | 69 | sample_size['level1'] <- list(level1) |
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| 70 | + | sample_size['level2'] <- list(level2) |
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| 71 | 71 | ||
| 72 | 72 | if(length(sample_size) == 3) { |
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| 73 | 73 | sample_size['level3_total'] <- list(sample_size_level3(sample_size)) |
@@ -284,7 +284,12 @@
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| 284 | 284 | Xmat <- dplyr::bind_cols(Xmat, Omat) |
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| 285 | 285 | } else { |
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| 286 | 286 | Xmat <- data.frame(model.matrix(fixed_formula, Xmat, ...)) |
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| 287 | - | colnames(Xmat)[2:ncol(Xmat)] <- fixed_vars |
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| 287 | + | ||
| 288 | + | if(grepl("^0", as.character(fixed_formula)[2])) { |
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| 289 | + | colnames(Xmat)[1:ncol(Xmat)] <- fixed_vars |
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| 290 | + | } else { |
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| 291 | + | colnames(Xmat)[2:ncol(Xmat)] <- fixed_vars |
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| 292 | + | } |
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| 288 | 293 | } |
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| 289 | 294 | ||
| 290 | 295 | if(is.null(data)) { |
| Files | Coverage |
|---|---|
| R | 75.21% |
| Project Totals (14 files) | 75.21% |
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