easier R than SPSS with Rcmdr : Contents
ch.42 Original menu and New menu
The ‘Original menu’ looks a bit like the menu we saw on SPSS. There are many menus used in the social sciences. Under dimensional analysis, principal component analysis, factor analysis, and cluster analysis stand out.
Menus such as paired t-test, McNemar test, Cochran Q test, logistic regression and survival analysis, which can be used in the medical field frequently, are missing or hidden.
Various models are possible, but the configuration is completely different from the menu below.
The menu in ‘RcmdrPlugin.EZR’ is as if specialized in medical statistics. The survival analysis menus are developed.
There are also quite a few diagnostic statistics. It is comparable to MedCalc, a medical statistics program.
‘matched-pair analysis’ is a feature I’ve been looking for a lot and it’s gathered here.
‘Sample size calculation’ probably doesn’t seem to be practiced much by anyone but medical researchers. The calculation of Sample size for the noninferiority test is also rich.
But there were only 2 plug-ins in Rcmdr that we looked at, and there are so many others. Of those, we reviewed many of them and choosed the two only. The two is good enough for you. The simpler, the better.
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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