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Tutorial de programação R

Em nossos tutoriais de R, você encontrará dicas úteis e casos de uso para aumentar suas habilidades de programação. Manteremos você atualizado com as técnicas mais recentes.
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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.
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Ryan Sheehy

15 de outubro de 2018

Facets for ggplot2 in R

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

12 de outubro de 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.
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Łukasz Deryło

9 de outubro de 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!
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Tom Jeon

8 de outubro de 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.
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Vedabrata Basu

5 de outubro de 2018

Factor Levels in R

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

27 de setembro de 2018

Creating a List in R

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

27 de setembro de 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.
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Ryan Sheehy

26 de setembro de 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.
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Francisco Javier Carrera Arias

30 de agosto de 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.
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Nishant Singh

27 de agosto de 2018

Introduction to Bioconductor

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

23 de agosto de 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.
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James Le

21 de agosto de 2018