使用Sweave
和R构建文档时,我会使用stargazer
库来表。
使用stargazer
时,是否有机制显示与glm
构建的模型的剩余偏差相关的自由度?
最小代码:
library(stargazer)
set.seed(1234)
data <- data.frame(x=1:10)
data$y <- data$x + rnorm(10, 0, 0.2)
model <- glm(y~x, data=data, family=gaussian)
summary(model)
stargazer(model,title="A test", align=T,label="Tab:test",style="all2")
结果观星表将具有观测,对数似然,AIC,剩余偏差和空偏差,但没有d.f.我可以解决d.f.但是会想到这可以直接显示出来。另见:
https://sites.google.com/site/marekhlavac/stargazer
更新#1:
感谢Marek的回复。为了让遇到这种情况的其他人受益,以下是允许您形成工作的过程:
以下是命令:
detach("package:stargazer", unload=TRUE)
remove.packages("stargazer")
从命令行:
R CMD INSTALL -l <path to library directory> stargazer
最后(假设您手头有几个模型),
library(stargazer)
stargazer(model6,model7,model8, title="Logistic model summary",align=T,label="Tab:logmod1", font.size="footnotesize", style="all2")
结果:
% Table created by stargazer v.4.0 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Tue, Sep 24, 2013 - 17:17:17
% Requires LaTeX packages: dcolumn
\begin{table}[!htbp] \centering
\caption{Logistic model summary}
\label{Tab:logmod1}
\footnotesize
\begin{tabular}{@{\extracolsep{5pt}}lD{.}{.}{-3} D{.}{.}{-3} D{.}{.}{-3} }
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{3}{c}{\textit{Dependent variable:}} \\
\cline{2-4}
\\[-1.8ex] & \multicolumn{3}{c}{whalesighted} \\
\\[-1.8ex] & \multicolumn{1}{c}{\textit{logistic}} & \multicolumn{1}{c}{\textit{probit}} & \multicolumn{1}{c}{\textit{glm: binomial}} \\
& \multicolumn{1}{c}{\textit{}} & \multicolumn{1}{c}{\textit{}} & \multicolumn{1}{c}{\textit{link = cloglog}} \\
\\[-1.8ex] & \multicolumn{1}{c}{(1)} & \multicolumn{1}{c}{(2)} & \multicolumn{1}{c}{(3)}\\
\hline \\[-1.8ex]
visibility & 0.392^{***} & 0.226^{***} & 0.216^{***} \\
& (0.051) & (0.027) & (0.026) \\
Constant & -1.251^{***} & -0.745^{***} & -1.149^{***} \\
& (0.246) & (0.144) & (0.182) \\
\hline \\[-1.8ex]
Observations & \multicolumn{1}{c}{232} & \multicolumn{1}{c}{232} & \multicolumn{1}{c}{232} \\
Log Likelihood & \multicolumn{1}{c}{-110.485} & \multicolumn{1}{c}{-110.888} & \multicolumn{1}{c}{-112.694} \\
Akaike Inf. Crit. & \multicolumn{1}{c}{224.970} & \multicolumn{1}{c}{225.775} & \multicolumn{1}{c}{229.388} \\
Residual Deviance (df = 230) & \multicolumn{1}{c}{220.970} & \multicolumn{1}{c}{221.775} & \multicolumn{1}{c}{225.388} \\
Null Deviance (df = 231) & \multicolumn{1}{c}{310.759} & \multicolumn{1}{c}{310.759} & \multicolumn{1}{c}{310.759} \\
\hline
\hline \\[-1.8ex]
\textit{Note:} & \multicolumn{3}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\normalsize
\end{tabular}
\end{table}
回到我基于4.5代码实现变通方法时得到的错误。我从mac二进制文件(版本4.5.1)(http://cran.r-project.org/web/packages/stargazer/index.html)安装时遇到同样的错误,只是尝试使用stargazer,见下文。
> install.packages("stargazer")
trying URL 'http://cran.ms.unimelb.edu.au/bin/macosx/contrib/3.0/stargazer_4.5.1.tgz'
Content type 'application/x-tar' length 332917 bytes (325 Kb)
opened URL
==================================================
downloaded 325 Kb
> stargazer(model6,model7,model8,
+ title="Logistic model summary",
+ align=T,
+ label="Tab:logmod1",
+ font.size="footnotesize",
+ style="all2")
Error in `rownames<-`(`*tmp*`, value = "visibility") :
length of 'dimnames' [1] not equal to array extent
Marek,我将把结果traceback()通过电子邮件发送给您。 欢呼声。
答案 0 :(得分:2)
Stargazer作者在这里。看起来包的默认值不是输出残差和零偏差的自由度。我将考虑在将来的版本中更改默认值。
作为现在的快速修复,您可能希望使用源包(来自CRAN),并修改stargazer-internal.R中的函数.adjust.settings.style以包含以下内容:
if (style == "all") {
.format.table.parts <<- c("=!","dependent variable label","dependent variables","models","columns","numbers","-","coefficients","-","omit","-","additional","N","R-squared","adjusted R-squared","max R-squared","log likelihood","sigma2","theta(se)*(p)", "SER(df)","F statistic(df)*(p)","chi2(df)*(p)","Wald(df)*(p)","LR(df)*(p)","logrank(df)*(p)","AIC","BIC","UBRE","rho(se)*(p)","Mills(se)*(p)","residual deviance(df)*","null deviance(df)*","=!","notes")
.format.coefficient.table.parts <<- c("variable name","coefficient*","standard error","t-stat","p-value")
}
else if (style == "all2") {
.format.table.parts <<- c("=!","dependent variable label","dependent variables","models","columns","numbers","-","coefficients","-","omit","-","additional","N","R-squared","adjusted R-squared","max R-squared","log likelihood","sigma2","theta(se)*(p)", "SER(df)","F statistic(df)*(p)","chi2(df)*(p)","Wald(df)*(p)","LR(df)*(p)","logrank(df)*(p)","AIC","BIC","UBRE","rho(se)*(p)","Mills(se)*(p)","residual deviance(df)*","null deviance(df)*","=!","notes")
.format.coefficient.table.parts <<- c("variable name","coefficient*","standard error")
}
请注意,这里唯一的变化是我将“(df)*”添加到“剩余偏差”和“零偏差”。