Plotting the confidence Interval using geom_point and geom_errorbar
In this method to plot a confidence interval, the user needs to install and import the ggplot2 package in the working r console, here the ggplot2 package is responsible to plot the ggplot2 plot and give the use of the package functionality to the users. Then the user needs to call the geom_point() function with the required parameters, which will be simply plotting the ggplot plot of the given data, and then the user has to call the geom_errorbar() function with the required parameters into it to get the confidence intervals which will be the error bars of the data passed in the R programming language.
To install and import the ggplot2 package in the R console, the user must follow the below syntax:
install.packages("ggplot2")
library("ggplot2")
- geom_point() function: This function uses the to point geom is used to create scatterplots.
Syntax: geom_point(mapping = NULL, data = NULL, stat = “identity”, position = “identity”, …)
Parameters:
- mapping: Set of aesthetic mappings created by aes() or aes_().
- data: The data to be displayed in this layer.
- stat: The statistical transformation to use on the data for this layer, as a string.
- position: Position adjustment, either as a string, or the result of a call to a position adjustment function.
- …: Other arguments passed.
- geom_errorbar() function: This function is used to plot the error bar of the given data.
Syntax: geom_errorbar(mapping = NULL, data = NULL,stat = “identity”, position = “identity”, …)
Parameters:
- mapping: The aesthetic mapping, usually constructed with aes or aes_string.
- data: A layer-specific dataset – only needed if you want to override the plot defaults.
- stat: The statistical transformation to use on the data for this layer.
- position: The position adjustment to use for overlapping points on this layer
- …: other arguments passed on to layer.
Example: Here, we will be using the geom_point() function to plot the points on the ggplot and then will be using the geom_errorbar() function with it to get the confidence intervals to the plot in the R programming language.
R
# Import ggplot2 library library("ggplot2") # Creating Data gfg<-round(data.frame(x = 1:20, y = runif(20, 20, 40), low = runif(20, 0, 20), up = runif(20, 40, 50)), 4) # Creating scatter plot with its # confindence intervals ggplot(gfg, aes(x, y)) + geom_point() + geom_errorbar(aes(ymin = low, ymax = up)) |
Output:
How to Plot a Confidence Interval in R?
In this article, we will discuss how to plot confidence intervals in the R programming language.