R有没有像stata一样速成的教程呀

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

R有没有像stata一样速成的教程呀，特别是在做模拟分析方面的。；我觉得R应该更好用些吧？

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：Stata tata 有没有 模拟分析

https://cran.rstudio.com/
Contributed Documentation

English --- Other Languages

Manuals, tutorials, etc. provided by users of R. The R core team does not take any responsibility for contents, but we appreciate the effort very much and encourage everybody to contribute to this list! To submit, follow the submission instructions on the CRAN main page. All material below is available directly from CRAN, you may also want to look at the list of other R documentation available on the Internet.

Note:Please use the directory listing to sort by name, size or date (e.g., to see which documents have been updated latetly).

English Documents

Documents with more than 100 pages:

“Using R for Data Analysis and Graphics - Introduction, Examples and Commentary” by John Maindonald (PDF, data sets and scripts are available at JM's homepage).
“Practical Regression and Anova using R” by Julian Faraway (PDF, data sets and scripts are available at the book homepage).
The Web Appendix to the book “An R Companion to Applied Regression” (second edition) by John Fox and Sanford Weisberg contains information about R to fit a variety of regression models.
“An Introduction to S and the Hmisc and Design Libraries” by Carlos Alzola and Frank E. Harrell, especially of interest to SAS users, users of the Hmisc or Design packages, or R users interested in data manipulation, recoding, etc. (PDF)
“Statistical Computing and Graphics Course Notes” by Frank E. Harrell, includes material on S, LaTeX, reproducible research, making good graphs, brief overview of computer languaes, etc. (PDF).
“An Introduction to R: Software for Statistical Modelling & Computing” by Petra Kuhnert and Bill Venables (ZIP 3.8MB): A 360 page PDF document of lecture notes in combination with the data sets and R scripts used in the manuscript.
“Introduction to the R Project for Statistical Computing for Use at the ITC” by David Rossiter (PDF, 2012-08-20, 141 pages).
“Analysis of Epidemiological Data Using R and Epicalc” by Virasakdi Chongsuvivatwong (PDF).
“Statistics Using R with Biological Examples” by Kim Seefeld and Ernst Linder (PDF).
“IcebreakeR” by Andrew Robinson (PDF, 2015-10-14).
“Applied Statistics for Bioinformatics Using R” by Wim Krijnen (PDF, 2009-11-17, 278 pages).
“An Introduction to R” by Longhow Lam (PDF, 2010-10-28, 212 pages).
“R and Data Mining: Examples and Case Studies” by Yanchang Zhao (PDF, 2013-04-26, 160 pages).
“A Student's Guide to R” by Nicholas J. Horton, Randall Pruim, and Daniel T. Kaplan (PDF, 2015-11-16, 119 pages).
“Is R Suitable Enough for Biostatisticians?” by Adrian Olszewski (PDF, 2015-06-28, 365 pages).

There are many books including chinese books. That is very good.  R is more popular, microsoft have combined RRO.