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#!/usr/bin/env Rscript
t <- seq (0, 1, length.out = 101)
labeled <- c (rep (0, 100), 1)
upper_x <- cos (t * pi) + 0.5
upper_y <- sin (t * pi)
lower_x <- -upper_x
lower_y <- -upper_y
`%>%` <- magrittr::`%>%`
data <- (tibble::tibble (x = upper_x, y = upper_y,
label = c (rep ("unlabeled", 100), "+"),
`semi-supervised solution` = "+")
%>% rbind (tibble::tibble (x = lower_x, y = lower_y,
label = c (rep ("unlabeled", 100), "-"),
`semi-supervised solution` = "-"))
%>% dplyr::mutate (noise_x = 0.1 * rnorm (dplyr::n ()),
noise_y = 0.1 * rnorm (dplyr::n ()))
%>% dplyr::mutate (x = x + noise_x, y = y + noise_y)
%>% dplyr::mutate (`naive solution` = ifelse (x <= 0, "+", "-")))
scales <- function (plot) {
(plot
+ ggplot2::scale_size_manual (values = c ("unlabeled" = 1, "+" = 3, "-" = 3))
+ ggplot2::scale_shape_manual (values = c ("+" = 16, "-" = 17, "unlabeled" = 3))
+ ggplot2::scale_color_manual (values = c ("+" = "#E69F00", "-" = "#56B4E9", "unlabeled" = "#009E73"))
+ ggplot2::theme_void ()
+ ggplot2::theme(legend.position="none")
+ ggplot2::coord_fixed ())
}
question <- ((data
%>% ggplot2::ggplot (ggplot2::aes (x = x, y = y, shape = label, color = label, size = label))
+ ggplot2::geom_point ())
%>% scales ())
naive_answer <- ((data
%>% ggplot2::ggplot (ggplot2::aes (x = x, y = y, shape = `naive solution`, color = `naive solution`))
+ ggplot2::geom_point ()
+ ggplot2::geom_vline (xintercept = 0))
%>% scales ())
semi_supervised_answer <- ((data
%>% ggplot2::ggplot (ggplot2::aes (x = x, y = y, shape = `semi-supervised solution`, color = `semi-supervised solution`))
+ ggplot2::geom_point ())
%>% scales ())
plot <- gridExtra::arrangeGrob (question, gridExtra::arrangeGrob (naive_answer, semi_supervised_answer, ncol = 2), nrow = 2)
filename <- Sys.getenv ("OUTPUT")
ggplot2::ggsave (filename, plot, device = "svg", width = 3.5, height = 3.5)
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