Tutorial de programare în R

În tutorialele noastre despre R, veți găsi sfaturi utile și studii de caz pentru a vă dezvolta abilitățile de programare. Vă ținem la curent cu cele mai noi tehnici.

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Data Frames in R

This tutorial takes course material from DataCamp's Introduction to R for Finance course and allows you to practice Data Frames.

15 octombrie 2018

Facets for ggplot2 in R

In this tutorial, you'll learn how to make the most of ggplots facetting functions.

12 octombrie 2018

Bootstrap in R Tutorial

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.

9 octombrie 2018

Subsetting Datasets in R

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!

8 octombrie 2018

Contingency Analysis using R

In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.

5 octombrie 2018

Factor Levels in R

This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.

27 septembrie 2018

Creating a List in R

Practice Lists in R by using course material from DataCamp's Intro to R course.

27 septembrie 2018

For Loops in R

When you know how many times you want to repeat an action, a for loop is a good option. Master for loops with this tutorial.

26 septembrie 2018

Markov Chain Analysis in R

In this tutorial, you'll learn what Markov chain is and use it to analyze sales velocity data in R.

30 august 2018

Detect Anomalies with Anomalize in R

Learn how to detect anomalies in large time series data sets and present insights in a much simpler way.

27 august 2018

Introduction to Bioconductor

Learn how to perform computational and statistical analysis on the results of your biological experiment.

23 august 2018

Support Vector Machines in R

In this tutorial, you'll try to gain a high-level understanding of how SVMs work and then implement them using R.

21 august 2018