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
2.7k
1
Share
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
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
2.5k
統計的因果推論勉強会 第4回
hikaru1122
0
1.4k
統計的因果推論勉強会 第3回
hikaru1122
0
2.1k
統計的因果推論勉強会 第2回
hikaru1122
0
2.2k
Other Decks in Education
See All in Education
Gitの仕組みと用語 / 01-b-term
kaityo256
PRO
0
270
Introduction - Lecture 1 - Advanced Topics in Big Data (4023256FNR)
signer
PRO
2
2.3k
良い塩梅を実現する、AWSネットワーク3分クッキング
masakiokuda
1
230
PE array testbench data order (config)
songchch
0
690
160人の中高生にAI・技術体験の講師をしてみた話
shuntatoda
1
430
Measuring what matters
jonoalderson
0
170
Avoin jakaminen ja Creative Commons -lisenssit
matleenalaakso
0
2.1k
コマンドラインの使い方 / 01-d-cli
kaityo256
PRO
0
130
PE array testbench data order (data)
songchch
0
690
AI進化史:LLMからAIエージェントへ
mickey_kubo
0
120
Gesture-based Interaction - Lecture 6 - Next Generation User Interfaces (4018166FNR)
signer
PRO
1
2.1k
資格支援制度-株式会社HIT
kabushikigaisya_hit
0
890
Featured
See All Featured
Designing for Timeless Needs
cassininazir
0
190
We Have a Design System, Now What?
morganepeng
55
8.1k
From π to Pie charts
rasagy
0
160
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
110
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
220
Tell your own story through comics
letsgokoyo
1
890
jQuery: Nuts, Bolts and Bling
dougneiner
66
8.4k
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.1k
The #1 spot is gone: here's how to win anyway
tamaranovitovic
2
1k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
199
73k
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
1
2.5k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
250
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.