Code

# Import necessary libraries
library(ggplot2)

# Create data frame from given output
data <- read.table("output.txt", header = TRUE, sep = "\\s+")

# Convert predictor column to factor for ggplot
data$Hair <- factor(data$Hair)

# Create plot of estimated effects on length
ggplot(data, aes(x = Hair, y = Estimate)) +
  geom_bar(stat = "identity") +
  labs(x = "Hair Colour", y = "Estimated Effect on Length")

Explanation

This code is used to create a simple bar chart showing the estimated effects of different hair colours on length.

1. The read.table function reads in the output from the R console and stores it in a data frame.
2. The factor function converts the Hair column into a factor, allowing us to easily identify each category (e.g., brown, red, blond).
3. The ggplot function is used to create a bar chart of the estimated effects on length for each hair colour.

Notes

• This code assumes that the output from the R console has been saved in a file called “output.txt”.
• The sep = "\\s+" argument in read.table specifies how to separate values in the text file.
• The labs function is used to add labels to the plot, and the stat = "identity" argument tells ggplot to treat each value as an identity (i.e., not perform any transformations).
• This chart can be useful for visualizing the estimated effects of different hair colours on length.

Last modified on 2024-06-16