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R実習 2016年9月25日

Hikaru Goto
September 25, 2016

 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
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  1. Hands-on Training on
    Statistical Analysis
    with R
    Step by Step
    Study Camp Day2
    September 26th, 2016

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  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.

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  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

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  4. What is R?
    • Have you ever used R?
    • various softwares for Statistical
    Analysis.

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  5. A few disadvantages
    • CUI not GUI(like SPSS)
    • We need to learn how to program for
    R a little bit.

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  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.

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  7. When you use GUI software...
    Click here, click there, click here...
    ໘౗

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  8. When you use R...
    • Just copy(or write) and Run!!
    • You can record an analysis procedure
    and do it again easily.

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  9. Don't worry!
    • You can use R easily with RStudio.

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  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).

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  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!!

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  12. What is "dataset"?
    • "Dateset" is very important.
    • Pay more attention to the data you
    analyze before analyzing.
    • Enter the codes in "Editor window".

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  13. ΍ͬͯΈΑ͏

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  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.

    View Slide