Calculate Confidence Intervals in R: Your Practical Guide

Calculate Confidence Intervals in R: Your Practical Guide

Key points Confidence intervals are a way of expressing the uncertainty associated with a point estimate. They provide a range of values likely to contain the true population parameter with a certain confidence level. R has several built-in functions that can calculate confidence intervals for different types of data and models, such as t.test , confint , and predict . R also has many packages that can calculate confidence intervals for different types of data and models, such as boot and broom . There are different methods of calculating confidence intervals in R, depending on the data type, model, and assumption. The most common methods are t-test, bootstrap, and prediction interval. R also provides functions to plot confidence intervals in R using base R and ggplot2, such as plot , matplot , ggplot , and geom_smooth . Calculating Confidence Intervals in R: A Step-by-Step Guide Confidence intervals are a useful way to quantify the uncertainty associated with a statistical estimate. They provide a range of v…