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![Disadvantages
R, like everything in life, has its own issues:
a. It has a steep learning curve i.e. difficult to
master
Solution: Practice, practice, practice!
b. It is a quirky language as it is not that
intuitive [e.g. in English – read (present
tense) and read (past tense)]
Solution: More practice!](https://image.slidesharecdn.com/introductiontorprogramming-161118135210/85/Introduction-to-R-programming-5-320.jpg)
![Disadvantages
R, like everything in life, has its own issues:
a. It has a steep learning curve i.e. difficult to
master
Solution: Practice, practice, practice!
b. It is a quirky language as it is not that
intuitive [e.g. in English – read (present
tense) and read (past tense)]
Solution: More practice!](https://image.slidesharecdn.com/introductiontorprogramming-161118135210/75/Introduction-to-R-programming-5-2048.jpg)
Uploaded byVictor Ordu
Introduction to R programming
This document outlines an introductory course on R programming for a web monitoring group, highlighting prerequisites such as basic computer skills and a willingness to learn. It discusses the advantages of R, including its cost-effectiveness, ease of installation, and the ability to produce high-quality graphics, while also mentioning challenges like its steep learning curve. The course aims to equip participants with practical skills through exercises in the R console, ultimately welcoming them to the R programming environment.
In this document
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This slide introduces R Programming as part of a training course for the Web Monitoring Group.
This slide outlines necessary skills for attending the course, emphasizing basic computer abilities and a willingness to learn.
R is a statistical programming language developed in the 1980s, now popular among data scientists.
R is free, easy to install, has a strong community, produces high-quality graphics, and ensures reproducibility.
R has a steep learning curve and quirky syntax; solutions involve consistent practice to overcome these hurdles.
R operates through a command line interface (CLI), differing from standard point-and-click software.
Instructions are entered at the R console prompt where users can execute their commands.
This slide explains the method of typing code in R and how it reads commands in a specific order.
Participants are guided to create an R object by typing a specific code and pressing ENTER.
The presentation concludes with a welcome to R and mentions the upcoming topic on R Objects.
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Introduction to R programming
- 1. Introduction to RProgramming Capacity building course for Web Monitoring Group Developed by Victor Ordu
- 2. Prerequisites a. Be ableto see at a computer screen b. Be able to hit the keys of a computer keyboard c. Be willing and eager to learn d. Be adventurous and courageous
- 3. • R isa programming language • developed in the 1980s for the purpose of running statistical analyses • has become a widely used tool by data scientists and is growing in popularity.
- 4. Advantages R is greatbecause: a. It is free b. easy to download and install c. has a vibrant global community d. produces publication grade graphics e. easy to learn f. highly extensible (ask what this means!) g. ensures reproducibility of results h. encourages transparency in methodology
- 5. Disadvantages R, like everythingin life, has its own issues: a. It has a steep learning curve i.e. difficult to master Solution: Practice, practice, practice! b. It is a quirky language as it is not that intuitive [e.g. in English – read (present tense) and read (past tense)] Solution: More practice!
- 6. R Console • Operationsin R are through a command line interface (CLI) • Different from point-and-click software
- 7. R-console Prompt: You passyour instructions to the program here!
- 8. • When youtype your code at the prompt you hit ENTER key to run the code • R reads code from left to right and from top to bottom
- 9. Exercise • Type inthe following code and hit ENTER: • NOTE: The prompt “>” only shows you where to type. • Now type ‘x’ again and hit ENTER • Congrats, you have created an R object called x containing data ranging from 1 to 10!
- 10. Conclusion Welcome to theworld of R! Next topic will be on R Objects…