Re: [R] Format regression result summary
On Fri, Apr 11, 2008 at 11:05 AM, Thiemo Fetzer [EMAIL PROTECTED] wrote: Hello to the whole group. I am a newbie to R, but I got my way through and think it is a lot easier to handle than other software packages (far less clicks necessary). [snip] However, my wish is the output to have a format like: Estimate (Intercept) 3.750367*** (0.172345) Var1 -0.002334 (0.009342) Var2 0.012551* (0.005927) Thanks a lot in advance Thiemo I attach an R function outreg that can make nice looking regression tables in various formats. I was thinking about writing something for R news about this, but stopped to wait because I could not figure a way to get lmer objects to print out in some pleasant way. I have several students and colleagues who use this, no problem lately. This pdf demonstrates some of the kinds of output it can create. http://pj.freefaculty.org/R/outreg-worked2.pdf The R code here is not pretty, I'm obviously trying to do things that are not anticipated by the original developers. I found it a bit tedious to do output with cat and so forth, but never found a more elegant way. If anybody wants to help with beautifying the code, please give me some pointers. -- Paul E. Johnson Professor, Political Science 1541 Lilac Lane, Room 504 University of Kansas __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Format regression result summary
Thiemo Fetzer wrote: As a general rule and practical in many contexts uses the following steps: (a) Use the R2HTML library to write the results from the summary to the clipboard (b) Open a spreadsheet and paste the results there. (c) Edit and shove things around until everything are where you want it to be (c) copy and paste things into your document. Tom Hello to the whole group. I am a newbie to R, but I got my way through and think it is a lot easier to handle than other software packages (far less clicks necessary). However, I have a problem with respect to the summary of regression results. The summary function gives sth like: Residuals: Min 1Q Median 3Q Max -0.46743 -0.09772 0.01810 0.11175 0.42252 Coefficients: Estimate Std. Error t value Pr(|t|) (Intercept) 3.750367 0.172345 21.761 2e-16 *** Var1-0.002334 0.009342 -0.250 0.802948 Var2 0.012551 0.005927 2.117 0.035444 * Var3 0.015380 0.074537 0.206 0.836730 Var3 0.098602 0.026448 3.728 0.000250 *** ... Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.1614 on 202 degrees of freedom Multiple R-squared: 0.1983, Adjusted R-squared: 0.1506 F-statistic: 4.163 on 12 and 202 DF, p-value: 7.759e-06 However, my wish is the output to have a format like: Estimate (Intercept) 3.750367*** (0.172345) Var1-0.002334 (0.009342) Var2 0.012551* (0.005927) Etc. so that the standard errors are in parantheses below the estimates. Next to the estimates should be the * indicating significance. I thought that should go by accessing the elements in the summary object, yet, I got started and figured that is quite complicated. Is there a quick and dirty way? Basically I want the same print-out as the summary, except that I don't want the t-statistic and not the p-value, only the significance codes. Thanks a lot in advance Thiemo __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Format regression result summary
On 4/11/2008 12:05 PM, Thiemo Fetzer wrote: Hello to the whole group. I am a newbie to R, but I got my way through and think it is a lot easier to handle than other software packages (far less clicks necessary). However, I have a problem with respect to the summary of regression results. The summary function gives sth like: Residuals: Min 1Q Median 3Q Max -0.46743 -0.09772 0.01810 0.11175 0.42252 Coefficients: Estimate Std. Error t value Pr(|t|) (Intercept) 3.750367 0.172345 21.761 2e-16 *** Var1-0.002334 0.009342 -0.250 0.802948 Var2 0.012551 0.005927 2.117 0.035444 * Var3 0.015380 0.074537 0.206 0.836730 Var3 0.098602 0.026448 3.728 0.000250 *** ... Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.1614 on 202 degrees of freedom Multiple R-squared: 0.1983, Adjusted R-squared: 0.1506 F-statistic: 4.163 on 12 and 202 DF, p-value: 7.759e-06 However, my wish is the output to have a format like: Estimate (Intercept) 3.750367*** (0.172345) Var1-0.002334 (0.009342) Var2 0.012551* (0.005927) Etc. so that the standard errors are in parantheses below the estimates. Next to the estimates should be the * indicating significance. I thought that should go by accessing the elements in the summary object, yet, I got started and figured that is quite complicated. Is there a quick and dirty way? Basically I want the same print-out as the summary, except that I don't want the t-statistic and not the p-value, only the significance codes. The mtable function in the memisc package by Martin Elff comes pretty close to what you want: library(memisc) (mtable123 - mtable(Model 1=lm0,Model 2=lm1,Model 3=lm2)) Calls: Model 1: lm(formula = sr ~ pop15 + pop75, data = LifeCycleSavings) Model 2: lm(formula = sr ~ dpi + ddpi, data = LifeCycleSavings) Model 3: lm(formula = sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings) == Model 1 Model 2 Model 3 -- Coefficients (Intercept) 30.628***6.360*** 28.566*** (7.409) (1.252) (7.355) pop15-0.471**-0.461** (0.147) (0.145) pop75-1.934 -1.691 (1.041) (1.084) dpi 0.001 -0.000 (0.001) (0.001) ddpi 0.529* 0.410* (0.210) (0.196) -- Summaries R-squared 0.262 0.162 0.338 adj. R-squared0.230 0.126 0.280 sigma 3.931 4.189 3.803 F 8.3 4.5 5.8 p 0.001 0.016 0.001 Log-likelihood -137.8 -141.0 -135.1 Deviance726.2 824.7 650.7 AIC 283.7 290.0 282.2 BIC 291.3 297.7 293.7 N50 50 50 == Thanks a lot in advance Thiemo __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Chuck Cleland, Ph.D. NDRI, Inc. (www.ndri.org) 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894 __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
