In this post, we will learn how to perform t-test on a real dataset and use tidyverse framework to access results from t-test. Check out the post how to do t-test to learn base R approach to t-tes. We will use Palmer penguin dataset, a real world dataset, to show how to perform t-test. First,… Continue reading T-test on real data using tidyverse
Category: rstats101
How to perform t-test in R
In this post, we will learn how top perform t test in R and understand when and why to use it. A t-test is one of the commonly used statistical tests, when one is interested in comparing two groups of measures and determine if there is a significant difference between the mean values of two… Continue reading How to perform t-test in R
How to convert a list to a dataframe
In this tutorial, we will learn 3 different ways to convert a list object into a dataframe in R. First we will show how to use the base R function as.data.frame() to convert a list to a dataframe. Then we will show examples using map_df() function in purrr package in tidyverse and bind_rows() function in… Continue reading How to convert a list to a dataframe
runif()- generate uniform random numbers
One way to generate uniformly distributed numbers in R is use the runif() function. runif is short for “random uniform”. R has other random number generating functions. For example rnorm generates random normal numbers. runif() takes three arguments, thrst is n – number of numbers we want and min and max for generating numbers between… Continue reading runif()- generate uniform random numbers
How to Find difference between two dates as days, weeks, months and years
In this tutorial we will learn how to find the difference between two date objects in R in terms of days, months, and years. We will learn how to use time_length() function available in tidyverse as part of lubridate package to get the difference as dyas, weeks, months, and years. Let us create two date… Continue reading How to Find difference between two dates as days, weeks, months and years