Statistics and Data Visualization Using R by David S. Brown

Author:David S. Brown
Language: eng
Format: epub, pdf
Published: 2021-09-02T04:52:18.431608+00:00

Now that we have all of the data, we simply draw a figure with ggplot that has two geom_line() functions included, one colored red (normal distribution) and one colored blue (t-distribution) (Figure 9-1). To note, I added labels to this figure in Adobe Illustrator.

Code Chunk 9-5

ggplot(mydata, aes(x1)) +

  geom_line(aes(y = x2), col=”#0000bf”) +

  geom_line(aes(y = x3), col=”#bf0000”) +

  theme_minimal() +

  theme(plot.title = element_text(size = 8, face = “bold”),

       axis.title = element_text(size = 8, face = “bold”)) +

  xlab(“Standard Deviations”) +

  ylab(“Density”) +

  ggtitle(“Figure 9-1: The t-Distribution Has Fatter Tails”)

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