CODEWITHSUNDEEP
rplotggplot2statisticsboxplot
saurabh
saurabh

Reputation: 391

box plot to error plot conversion in R

How can we convert a box plot generated from enter image description here

# Boxplot of MPG by Car Cylinders 
boxplot(mpg~cyl,data=mtcars, main="Car Milage Data", 
    xlab="Number of Cylinders", ylab="Miles Per Gallon")

to an error plot (for 25th and 75th quantile) with minimum effort? enter image description here

Upvotes: 2

Views: 383

Answers (1)

RHA
RHA

Reputation: 3862

The link of @Keniajin sets you on the right track, but you will need functions for your quantiles. It's a ggplot solution:

require(ggplot2)

First, we create functions to calculate the quantiles25 en 75

Q25 <- function(x) {quantile(x, .25)}
Q75 <- function(x) {quantile(x, .75)}

Then we make the plot, using stat_summary and these functions. Note that you can replace the function with median, min, max of stderr if you wish.

ggplot(data=mtcars, aes(x=cyl,y=mpg)) +
  stat_summary(fun.y=mean,fun.ymin=Q25, fun.ymax=Q75) +
  ggtitle("Car Milage Data") +
  xlab("Number of Cylinders") +
  ylab("Miles Per Gallon")

Upvotes: 2

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