Kategori
Tekniker
Handledningar i R-programmering
I våra R-handledningar hittar du hjälpsamma tips och användningsfall som utvecklar dina programmeringskunskaper. Vi håller dig uppdaterad med de senaste teknikerna.
Andra tekniker:
Utbilda 2 eller fler personer?Testa DataCamp for Business
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.
Ryan Sheehy
15 oktober 2018
Facets for ggplot2 in R
In this tutorial, you'll learn how to make the most of ggplots facetting functions.
DataCamp Team
12 oktober 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.
Łukasz Deryło
9 oktober 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!
Tom Jeon
8 oktober 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.
Vedabrata Basu
5 oktober 2018
Factor Levels in R
This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors.
Ryan Sheehy
27 september 2018
Creating a List in R
Practice Lists in R by using course material from DataCamp's Intro to R course.
Ryan Sheehy
27 september 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.
Ryan Sheehy
26 september 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.
Francisco Javier Carrera Arias
30 augusti 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.
Nishant Singh
27 augusti 2018
Introduction to Bioconductor
Learn how to perform computational and statistical analysis on the results of your biological experiment.
Minoo Ashtiani
23 augusti 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.
James Le
21 augusti 2018