Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]
univariate statistics
Probability functions intermediate
In this set of exercises, we are going to explore some of the probability functions in R by using practical applications. Basic probability knowledge is required. In case you are not familiarized with the function apply, check the R documentation. Note: We are going to use random numbers functions and random processes functions in R […]
Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-7)
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]
Answer probability questions with simulation
Probability is at the heart of data science. Simulation is also commonly used in algorithms such as the bootstrap. After completing this exercise, you will have a slightly stronger intuition for probability and for writing your own simulation algorithms. Most of the problems in this set have an exact analytical solution, which is not the case […]
Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-5)
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]
Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-4)
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]
Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-3)
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]
Data Science for Doctors – Part 3 : Distributions
Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. This is the third part of the […]
Creating Sample Datasets – Exercises
Creating sample data is a common task performed in many different scenarios. R has several base functions that make the sampling process quite easy and fast. Below is an explanation of the main functions used in the current set of exercices: 1. set.seed() – Although R executes a random mechanism of sample creation, set.seed() function […]
Lets Begin with something sample
The following R-exercises constitute the first set in a series of posts aimed to review fundamental probability and (bio)statistics concepts while learning to use R. Today we will focus on generating random numbers from some of the built-in distributions in R as well as using the sample() function to obtain random samples from a given […]