Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
R実習 2016年9月25日
Search
Hikaru Goto
September 25, 2016
Education
1
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
Tweet
Share
More Decks by Hikaru Goto
See All by Hikaru Goto
統計的因果推論勉強会第5回
hikaru1122
0
2.3k
統計的因果推論勉強会 第4回
hikaru1122
0
1.2k
統計的因果推論勉強会 第3回
hikaru1122
0
1.8k
統計的因果推論勉強会 第2回
hikaru1122
0
1.8k
Other Decks in Education
See All in Education
@ngrx/signals
yannickbaron
0
140
Frederick Douglass versus George Fitzhugh
oripsolob
0
600
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visualisation (4019538FNR)
signer
PRO
1
1.7k
SUMMER SCHOOL 2024
pnuslide
0
140
UniKL 2024 - Phishing Security Awareness: Malware
x86fatah
0
110
Часто задаваемые вопросы
pnuslide
0
20k
D&I推進レポート〜テクノロジー分野のジェンダーギャップとその取り組みについて〜
codeforeveryone
1
800
Pre-enrollment Information for UTokyo International Students
utokyoissr2360
0
4.8k
phygital__le_magasin_augmenté.pdf
martine
0
2.6k
HCL Notes 14.0 「スタイルの変更」で「3 設定の確認」を深掘り
harunakano
0
1.9k
Gesture-based Interaction - Lecture 8 - Next Generation User Interfaces (4018166FNR)
signer
PRO
0
1.2k
アプリ開発を目指した授業づくりについて
asial_corp
0
420
Featured
See All Featured
Designing on Purpose - Digital PM Summit 2013
jponch
110
6.4k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
29
6k
4 Signs Your Business is Dying
shpigford
175
21k
Ruby is Unlike a Banana
tanoku
96
10k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
226
16k
The Cult of Friendly URLs
andyhume
74
5.7k
Building Adaptive Systems
keathley
30
1.8k
In The Pink: A Labor of Love
frogandcode
138
21k
Designing for Performance
lara
601
67k
Build The Right Thing And Hit Your Dates
maggiecrowley
23
2k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
34
8.9k
The Pragmatic Product Professional
lauravandoore
24
5.8k
Transcript
Hands-on Training on Statistical Analysis with R Step by Step
Study Camp Day2 September 26th, 2016
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.
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
What is R? • Have you ever used R? •
various softwares for Statistical Analysis.
A few disadvantages • CUI not GUI(like SPSS) • We
need to learn how to program for R a little bit.
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.
When you use GUI software... Click here, click there, click
here... ໘
When you use R... • Just copy(or write) and Run!!
• You can record an analysis procedure and do it again easily.
Don't worry! • You can use R easily with RStudio.
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).
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!!
What is "dataset"? • "Dateset" is very important. • Pay
more attention to the data you analyze before analyzing. • Enter the codes in "Editor window".
ͬͯΈΑ͏
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.