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R Crash Course - Learn R-programming in 2 hours - R and RStudio
#1
[Image: 359020115_tuto.jpg]
712.43 MB | 00:09:57 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Introduction (9.74 MB)
2 - What is R and RStudio (12.21 MB)
3 - How to install R and RStudio in 2020 (16.68 MB)
4 - Lab Install R and RStudio in 2020 (38.69 MB)
5 - Get started with R in RStudio overview (20.89 MB)
6 - Lab Get started with R in RStudio (47.69 MB)
10 - Lab Calculations in R (7.78 MB)
11 - Variables in R and assigning Variables in R (8.97 MB)
12 - Lab Variables in R and assigning Variables in R (7.65 MB)
7 - What are the Packages in R (13.05 MB)
8 - Lab Installing Packages and Package Management in R (24.14 MB)
9 - About Calculations in R (8.15 MB)
13 - Overview of data types and data structures in R (27.21 MB)
14 - Lab Overview of data types and data structures in R (48.1 MB)
15 - Data types and data structures Vectors in R (12.88 MB)
16 - Vectors operations in R (15.47 MB)
17 - Lab Vectors operations in R (35.95 MB)
18 - Data types and data structures Factors (9.32 MB)
19 - Read Data into R (39.98 MB)
20 - Data types and data structures Matrices (21.67 MB)
21 - Data types and data structures Lists (27.1 MB)
22 - An introduction to Dataframes (16.67 MB)
23 - Indexing and querying Dataframes (21.88 MB)
24 - Modifying Dataframes (24.82 MB)
25 - Handling missing values in R (37.43 MB)
26 - Overview of functions in R (33.22 MB)
27 - Lab Functions in R get started (14.93 MB)
28 - Control Functions if if else else while switch repeat break return in R (32.23 MB)
29 - For Loops in R an overview (16.48 MB)
30 - Lab For Loops in R (24.82 MB)
31 - Bonus (36.48 MB)
Screenshot
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