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| # author: matthew skiffington | |
| # purpose: make xor problem simple viz to go in dissertation | |
| library(ggplot2) | |
| xor.df <- setNames(object = data.frame( | |
| rbind( | |
| c(0,1,"Class 1"), | |
| c(1,0,"Class 1"), | |
| c(1,1,"Class 2"), | |
| c(0,0,"Class 2") | |
| ) | |
| ), | |
| nm = c("x","y","Class")) | |
| ggplot(data = xor.df) + | |
| geom_point(mapping = aes(x = x,y = y,fill = Class),colour = 'black',size = 5,shape=21 ,stroke = 2,) + | |
| geom_abline(intercept = -1.5, slope = 2, linetype, colour='red', size = 2) + | |
| geom_abline(intercept = 0, slope = 1.5, linetype, colour='blue', size = 2) + | |
| geom_abline(intercept = 5, slope = -2.5, linetype, colour='green', size = 2) + | |
| labs(title = "The XOR problem",subtitle = "Lines indicate arbitrary examples of linear classifiers") + | |
| scale_fill_manual(values = c("black","white"), | |
| labels = c("Class 1","Class 2")) + | |
| theme_light() + | |
| ggsave("cairo.png", type = "cairo") # avoids ugly aliasing |
Author
MattSkiff
commented
Mar 11, 2020
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