How to create a qqplot with confidence interval in R?
A qqplot is the plot of quantiles that helps to understand whether the supplied data comes from the specified distribution, mostly it is used to check whether the data follows normal distribution or not. If we want to create the qqplot with confidence interval then qqPlot function of car package can be used as shown in the below example.
Consider the below data frame −
Example
Live Demo
x<-rnorm(20,74,3.5)
y<-rnorm(20,50,2.25)
df<-data.frame(x,y)
df
Output
x y
1 73.30956 51.31650
2 78.67091 51.01323
3 71.34887 46.93155
4 81.89449 51.54427
5 70.74800 55.81567
6 71.84334 50.74052
7 70.50627 50.35543
8 75.99494 48.10296
9 72.22310 50.42166
10 76.17660 47.82578
11 70.23273 45.80355
12 77.38643 47.50654
13 76.91476 51.83949
14 69.65716 48.11115
15 74.00487 52.76651
16 74.25146 53.72022
17 73.83530 50.83250
18 68.10708 50.85800
19 73.75495 50.37560
20 73.99065 52.60846
Loading car package and creating the qqplot with confidence interval −
Example
library(car)
qqPlot(df$x)
[1] 4 18
Output
Published on 06-Feb-2021 11:01:33
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