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작성자로라 조회 3회 작성일 2021-04-13 13:28:04 댓글 0

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R Programming for Beginners | Complete Tutorial | R & RStudio

R programming tutorial with everything you need to know to start coding in RStats and RStudio. All the basics and fundamentals for non-coders and beginners in R programming! This is the perfect first step in your journey to master Data Science.

00:00 Introduction
01:47 Base R overview
08:16 RStudio overview
10:30 Variable assignment
12:50 Numerics
13:30 Logicals
14:03 Characters
15:50 Factors
16:40 Vectors
20:50 Lists
23:20 Data frames
26:08 Matrices
27:34 Indexing
37:23 Functions
45:05 Packages
48:39 Summary

R download: https://cran.r-project.org/
R Studio download: https://rstudio.com/products/rstudio/download/
R Q\u0026A: https://stackoverflow.com/questions/tagged/r
R Style guide: https://style.tidyverse.org/
R Cheatsheet: https://rstudio.com/wp-content/uploads/2016/10/r-cheat-sheet-3.pdf

️ R performance playlist https://www.youtube.com/playlist?list=PLyogaPCPr32UaTp-9Fsj4tb_aIcAQ3jKb

dplyr playlist https://www.youtube.com/playlist?list=PLyogaPCPr32W9wbszOANRJiAvUbbymcCS

#R #Rprogramming #Rtutorial #RStats #RStudio #DDS #DDSR

Getting started with R and RStudio

A review of R and RStudio, showing where to download them, and highlighting and demonstrating many of RStudio's capabilities as a programming environment for R.

R Programming Tutorial - Learn the Basics of Statistical Computing

Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important tools in data science.

Course Files: https://drive.google.com/drive/folders/15U8WjVKbYXaq6N6Wb_6bCr9QZ1DwCkAO

Course created by Barton Poulson from datalab.cc.
Check out the datalab.cc YouTube channel: https://www.youtube.com/user/datalabcc
Watch more free data science courses at http://datalab.cc/

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Welcome
⌨️ (0:02:20) Installing R
⌨️ (0:07:17) RStudio
⌨️ (0:11:52) Packages
⌨️ (0:19:16) plot()
⌨️ (0:27:49) Bar Charts
⌨️ (0:32:10) Histograms
⌨️ (0:39:44) Scatterplots
⌨️ (0:44:39) Overlaying Plots
⌨️ (0:52:30) summary()
⌨️ (0:55:49) describe()
⌨️ (1:00:17) Selecting Cases
⌨️ (1:06:14) Data Formats
⌨️ (1:21:39) Factors
⌨️ (1:28:34) Entering Data
⌨️ (1:34:18) Importing Data
⌨️ (1:42:29) Hierarchical Clustering
⌨️ (1:49:35) Principal Components
⌨️ (1:59:16) Regression
⌨️ (2:08:36) Next Steps

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Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://www.freecodecamp.org/news

And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

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#r-studio

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