Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
364 views
in Technique[技术] by (71.8m points)

knitr - Regression tables in Markdown format (for flexible use in R Markdown v2)

The new version of R Markdown is based on pandoc, so you can easyly change the output format.

My Problem is to get markdown formated tables from e.g. regression models, because LATEX and HTML tables do not survive the pandoc conversion.

I know packages that generate LATEX/HTML output from a variety of models (stargazer, texreg, asprtable...) and I'm aware of functions/packages, that generate markdown tables from data frames and matrices but not from other objects.

Any suggestions?

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

My above comment in more details:

  1. Define a few models for reproducible example:

    lm0 <- lm(hp ~ wt, mtcars)
    lm1 <- lm(qsec ~ hp, mtcars)
    lm2 <- lm(qsec ~ wt, mtcars)
    
  2. Create a comparative table from those:

    require(memisc)
    mtable123 <- mtable('Model 1' = lm0,
                'Model 2' = lm1,
                'Model 3' = lm2,
                summary.stats = c('R-squared','F','p','N'))
    
  3. Render markdown table with a simple call to pander:

    pander(mtable123)
    
  4. Enjoy the result:

    --------------------------------------------------
         &nbsp;        Model 1    Model 2    Model 3  
    ----------------- ---------- ---------- ----------
     **(Intercept)**   -1.821   20.556*** 18.875***
                       (32.325)   (0.542)    (1.103)  
    
         **wt**       46.160***            -0.319  
                       (9.625)               (0.328)  
    
         **hp**                 -0.018***          
                                  (0.003)             
    
      **R-squared**     0.434      0.502      0.031   
    
          **F**         22.999     30.190     0.945   
    
          **p**         0.000      0.000      0.339   
    
          **N**           32         32         32    
    --------------------------------------------------
    

Thanks for Roman Tsegelskyi for implementing this nice feature in GSoC 2014.


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

1.4m articles

1.4m replys

5 comments

57.0k users

...