program10

10.Develop an R function to draw a density curve representing the probability density function of a continuous variable ,with separate curves for each group,using ggplot2.

step1:Load the necessary libraries

library(ggplot2)

step2:Define the function

plot_density_by_group <- function(data,numeric_var,group_var,fill = TRUE){
 
  ggplot(data,aes_string(x= numeric_var, color= group_var, fill= group_var))+
    geom_density(alpha=if (fill) 0.4 else 0)+
    labs(
      title=paste("Density pLot of",numeric_var,"by",group_var),
         x=numeric_var,
         y="Density")+
    theme_minimal()
}

step3:Load dataset

data(iris)
head(iris)

  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4          4.6         3.1          1.5         0.2  setosa
5          5.0         3.6          1.4         0.2  setosa
6          5.4         3.9          1.7         0.4  setosa

step 4: call the function with example

plot_density_by_group(iris,"Sepal.Length","Species")

Warning: `aes_string()` was deprecated in ggplot2 3.0.0.
ℹ Please use tidy evaluation idioms with `aes()`.
ℹ See also `vignette("ggplot2-in-packages")` for more information.