easier R than SPSS with Rcmdr : Contents
ch.1
Installation
If you Google for ‘R download’, you’ll find a few paths, all of which are done.
Click ‘download R’.
I chose the first. You can choose something else.
Choose according to your own system.
Just like you would usually download a program, you can download and install it.
Click the menu to select a package.
Select the mirror as shown in the figure on the left. A mirror is a separation of the same content in multiple locations around the world to prevent many users from being concentrated in one place. If you look downwards, there are also several places in our country. You can just press ‘OK’.
Afte then, go down a long way as shown in the figure on the right and specify ‘ Rcmdr’. You can press ‘OK’ again. It take a little time.
Then run ‘New script’.
Type ‘library(Rcmdr)’, then place your cursor on that line and click the third icon (Run) at the top of the screen.
If you see something like this, it’s a success. Now ‘R Commander’ is running.
You can save this script and call it up later if you need it.
When you run a line of scripts, simply place your cursor on that line and click the third icon (Run). When you run multiple lines at once, simply select them all with the mouse and then click the third icon (Run).
If this RGui doesn’t run, try ‘Run as administrator’. Most people don’t need it, but very few people need it. I found this while teaching.
easier R than SPSS with Rcmdr : Contents
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- R statisics portal https://tinyurl.com/stat-portal
- R data visualization book 1 https://tinyurl.com/R-plot-I (chart)
- R data visualization book 2
https://tinyurl.com/R-plot-II-3-4 many variables / map
https://tinyurl.com/R-plot-II-5-6 time related / statistics related
https://tinyurl.com/R-plot-II-7-8 others / reactive chart
- R data visualization book 3 https://tinyurl.com/R-data-Vis3
- R data visualization book 4 R 데이터 시각화 4권
- Meata Analysis book 1 https://tinyurl.com/MetaA-portal
- Meata Analysis book 2 https://tinyurl.com/MetaA-portal(2)
- Preciction Model and Machine Learning https://tinyurl.com/Machine-Learning-EZ
- Sample Size Calculations https://tinyurl.com/MY-sample-size
- Sample data https://tinyurl.com/data4edu
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