Hikaru Goto
September 25, 2016
2.4k

# R実習　2016年9月25日

3時間R実習のイントロ部分です。26th とありますが，25th 之間違い。

## Hikaru Goto

September 25, 2016

## Transcript

1. ### Hands-on Training on Statistical Analysis with R Step by Step

Study Camp Day2 September 26th, 2016
2. ### Disclaimer • I don't know all about R(I don't like

programing). • Sorry for my poor English! • If you are familiar with Stats or R, please support your team members.
3. ### The aims of this course • To understand basic Statistics

with R • To learn how to use R for your research • Not to be a Datascientist or programmer
4. ### What is R? • Have you ever used R? •

various softwares for Statistical Analysis.
5. ### A few disadvantages • CUI not GUI(like SPSS) • We

need to learn how to program for R a little bit.
6. ### A lot of advantages • It's FREE forever! • After

graduating from JAIST, you can do data-analysis with R. • You can do whatever you want to do about Statistics. • R gets popular more and more.

here... ໘౗
8. ### When you use R... • Just copy(or write) and Run!!

• You can record an analysis procedure and do it again easily.

10. ### Fundamental Knowledge of R • R tells a capital letter

from a small letter. • R can't run if you write wrong codes(programs). • R can't understand Japanese(but can display).
11. ### How to use R and RStudio step by step Step1.

Launch RStudio Step2. Create a project Step3. Import a dataset to RStudio Step4. Write codes Step5. Run It's easy to use R!!
12. ### What is "dataset"? • "Dateset" is very important. • Pay

more attention to the data you analyze before analyzing. • Enter the codes in "Editor window".

14. ### Take-home messages • R is not everything! • but, you

can have many options of data analyis, thanks to R. • Of course, you can(should) use other softwares.