create a boxplot with pink lines in r

To create a boxplot with pink lines in R using the ggplot2 package, you can follow these steps:

1. Load the ggplot2 package with library(ggplot2).
2. Load your data into R and create a variable that indicates the groupings you would like to use in your boxplot.
3. Create a ggplot object using the ggplot() function and specify your data and mapping aesthetics using the aes() function. Map the grouping variable to the x-axis and the numerical variable you are analyzing to the y-axis.
4. Add a geom_boxplot() layer to the ggplot object to create the boxplot.
5. Use the scale_color_manual() function to adjust the color of the lines in the boxplot. Set the values in the values argument to "pink" to make the boxplot lines pink.

Here is the code to create a boxplot with pink lines using ggplot2:

main.r
# Load ggplot2 package
library(ggplot2)

# Load data and create grouping variable
data <- iris
group_var <- "Species"

# Create ggplot object
ggplot(data, aes(x = !!as.name(group_var), y = Sepal.Width)) + 
  geom_boxplot(color = "black", fill = "white") +
  labs(x = group_var, y = "Sepal Width") + 
  scale_color_manual(values = "pink")
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This code will create a boxplot of the Sepal.Width variable from the iris dataset, grouped by species. The lines in the boxplot will be pink. You can adjust the group_var and y variable to analyze different data.