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1 | 1 | #' ROC Analysis |
2 | 2 | #' |
3 | | - |
4 | | - |
5 | 3 | #' |
6 | | -#' |
7 | 4 | #' |
8 | 5 | #' @importFrom R6 R6Class |
9 | 6 | #' @import jmvcore |
10 | | -#' |
| 7 | +#' @import ggplot2 |
| 8 | +#' @import plotROC |
11 | 9 |
|
12 | 10 |
|
13 | | -rocClass <- if (requireNamespace("jmvcore")) R6::R6Class("rocClass", inherit = rocBase, |
| 11 | +rocClass <- if (requireNamespace("jmvcore")) R6::R6Class("rocClass", inherit = rocBase, |
14 | 12 | private = list(.run = function() { |
15 | | - |
16 | | - |
17 | | - |
| 13 | + |
| 14 | + |
| 15 | + |
18 | 16 | # TODO |
19 | | - |
| 17 | + |
20 | 18 | todo <- glue::glue("This Module is still under development |
21 | 19 | - |
22 | 20 | - |
23 | 21 | ") |
24 | | - |
| 22 | + |
25 | 23 | self$results$todo$setContent(todo) |
26 | | - |
27 | | - |
28 | | - if (nrow(self$data) == 0) stop("Data contains no (complete) rows") |
29 | | - |
30 | | - |
31 | | - |
32 | | - })) |
| 24 | + |
| 25 | + |
| 26 | + # if (nrow(self$data) == 0) stop("Data contains no (complete) rows") |
| 27 | + |
| 28 | + # plotROC |
| 29 | + # |
| 30 | + # http://sachsmc.github.io/plotROC/ |
| 31 | + |
| 32 | + |
| 33 | + set.seed(2529) |
| 34 | + D.ex <- rbinom(200, size = 1, prob = .5) |
| 35 | + M1 <- rnorm(200, mean = D.ex, sd = .65) |
| 36 | + M2 <- rnorm(200, mean = D.ex, sd = 1.5) |
| 37 | + |
| 38 | + plotData <- data.frame(D = D.ex, |
| 39 | + D.str = c("Healthy", "Ill")[D.ex + 1], |
| 40 | + M1 = M1, |
| 41 | + M2 = M2, |
| 42 | + stringsAsFactors = FALSE) |
| 43 | + |
| 44 | + |
| 45 | + |
| 46 | + # Prepare plot data |
| 47 | + |
| 48 | + image <- self$results$plot |
| 49 | + image$setState(plotData) |
| 50 | + |
| 51 | + |
| 52 | + plot3 <- private$.plot2() |
| 53 | + |
| 54 | + self$results$plot3$setContent(plot3) |
| 55 | + |
| 56 | + |
| 57 | + |
| 58 | + |
| 59 | + |
| 60 | + }, |
| 61 | + |
| 62 | + .plot=function(image, ...) { |
| 63 | + |
| 64 | + plotData <- image$state |
| 65 | + |
| 66 | + |
| 67 | + set.seed(2529) |
| 68 | + D.ex <- rbinom(200, size = 1, prob = .5) |
| 69 | + M1 <- rnorm(200, mean = D.ex, sd = .65) |
| 70 | + M2 <- rnorm(200, mean = D.ex, sd = 1.5) |
| 71 | + |
| 72 | + plotData <- data.frame(D = D.ex, |
| 73 | + D.str = c("Healthy", "Ill")[D.ex + 1], |
| 74 | + M1 = M1, |
| 75 | + M2 = M2, |
| 76 | + stringsAsFactors = FALSE) |
| 77 | + |
| 78 | + plot <- plotData %>% |
| 79 | + ggplot2::ggplot(., |
| 80 | + ggplot2::aes(d = D, m = M1) |
| 81 | + ) + |
| 82 | + plotROC::geom_roc( |
| 83 | + labels = TRUE, |
| 84 | + n.cuts = 5, |
| 85 | + labelsize = 5, |
| 86 | + labelround = 2 |
| 87 | + ) + |
| 88 | + plotROC::style_roc( |
| 89 | + theme = theme_grey, |
| 90 | + xlab = "1 - Specificity" |
| 91 | + ) + |
| 92 | + plotROC::geom_rocci( |
| 93 | + sig.level = .01, |
| 94 | + ci.at = quantile(M1, c(.1, .4, .5, .6, .9)) |
| 95 | + ) |
| 96 | + |
| 97 | + |
| 98 | + |
| 99 | + plotROC::direct_label( |
| 100 | + ggroc_p = plot, |
| 101 | + labels = "Biomarker", |
| 102 | + label.angle = 45, |
| 103 | + nudge_x = 0, |
| 104 | + nudge_y = -.1, |
| 105 | + size = 6 |
| 106 | + ) + |
| 107 | + plotROC::style_roc() |
| 108 | + |
| 109 | + |
| 110 | + |
| 111 | + print(plot) |
| 112 | + TRUE |
| 113 | + } , |
| 114 | + |
| 115 | + .plot2=function() { |
| 116 | + |
| 117 | + # plotData <- image$state |
| 118 | + |
| 119 | + |
| 120 | + set.seed(2529) |
| 121 | + D.ex <- rbinom(200, size = 1, prob = .5) |
| 122 | + M1 <- rnorm(200, mean = D.ex, sd = .65) |
| 123 | + M2 <- rnorm(200, mean = D.ex, sd = 1.5) |
| 124 | + |
| 125 | + plotData <- data.frame(D = D.ex, |
| 126 | + D.str = c("Healthy", "Ill")[D.ex + 1], |
| 127 | + M1 = M1, |
| 128 | + M2 = M2, |
| 129 | + stringsAsFactors = FALSE) |
| 130 | + |
| 131 | + plot2 <- plotData %>% |
| 132 | + ggplot2::ggplot(., |
| 133 | + ggplot2::aes(d = D, m = M1) |
| 134 | + ) + |
| 135 | + plotROC::geom_roc() |
| 136 | + |
| 137 | + |
| 138 | + # Interactive Plots |
| 139 | + |
| 140 | + plot2 <- plotROC::plot_interactive_roc(plot2) |
| 141 | + # opens in new html |
| 142 | + |
| 143 | + |
| 144 | + # plot2 <- plotROC::export_interactive_roc(plot2) |
| 145 | + # no output |
| 146 | + |
| 147 | + |
| 148 | + # plot2 <- cat(plotROC::export_interactive_roc(plot2)) |
| 149 | + # no output |
| 150 | + |
| 151 | + knitr::asis_output(plot2) |
| 152 | + } |
| 153 | + |
| 154 | + # Multiple ROC Curves |
| 155 | + # http://sachsmc.github.io/plotROC/ |
| 156 | + |
| 157 | + # New Features |
| 158 | + |
| 159 | + # Advanced Options |
| 160 | + |
| 161 | + |
| 162 | + ) |
| 163 | + ) |
| 164 | + |
| 165 | + |
| 166 | + |
| 167 | + |
| 168 | +# Other ROC Packages on CRAN |
| 169 | +# |
| 170 | +# AROC: Covariate-Adjusted Receiver Operating Characteristic Curve Inference |
| 171 | +# https://cran.r-project.org/web/packages/AROC/index.html |
| 172 | + |
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