stargazer

stargazer automatically centres values within tables. How can I left align the columns? Put this code in an .Rnw file and use knitr to convert to .tex: <<load, echo=FALSE, warning=FALSE, message=FALSE>>= opts_chunk$set(eval=TRUE, echo=FALSE, warning=FALSE, message=FALSE, dpi=300) @ \documentclass[a4paper,11pt]{article} \usepackage{lipsum} % Required to insert dummy text \begin{document} \title{} \author{} \date{\today} \maketitle \section{Header} Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam,

I just ran a statisitical model and i want it to display the results of the model as a table using stargazer. However, the large numbers are displayed in full. fit2<-lm(A~B,data=C) stargazer(fit2,type="text") With this table as result =================================================== Dependent variable: ------------------------------- A --------------------------------------------------- B -0.599 (1.698) 32,126,391.000 (24,004,268.000) --------------------------------------------------- Observations 5 R2 0.040 Adjusted R2 -0.280 Residual Std. Error 31,217,258.000 (df = 3e+00) F Statistic 0

I want to run some regressions and create a table with stargazer. For example linear.1 <- lm(rating ~ complaints + privileges + learning + raises + critical, data=attitude) linear.2 <- lm(rating ~ complaints + privileges + learning, data=attitude) stargazer(linear.1, linear.2, type="text", keep.stat=c("n")) I want to add a couple of rows the the table with "X" for some of the specifications. That is: rating (1) (2) ----------------------------------------------------------------- complaints 0.692*** 0.682*** (0.149) (0.129) privileges -0.104 -0.103 (0.135) (0.129) learning 0.249 0.238* (0.160)

Stargazer produces very nice latex tables for lm (and other) objects. Suppose I've fit a model by maximum likelihood. I'd like stargazer to produce a lm-like table for my estimates. How can I do this? Although it's a bit hacky, one way might be to create a "fake" lm object containing my estimates -- I think this would work as long as summary(my.fake.lm.object) works. Is that easily doable? An example: library(stargazer) N <- 200 df <- data.frame(x=runif(N, 0, 50)) df$y <- 10 + 2 * df$x + 4 * rt(N, 4) # True params plot(df$x, df$y) model1 <- lm(y ~ x, data=df) stargazer(model1, title="A Model")

When using the stargazer package, I want to change the value that appears in parentheses under the coefficients. By default, the package will output the standard errors. How can I include the actual p-values in parentheses? landroni As mentioned in Stargazer Omit test statistics , since version 5.0 stargazer has included the report argument that allows users to choose which statistics to report. So to display p-values instead of SEs you would do this: require(stargazer) linear.1 <- lm(rating ~ complaints + privileges + learning + raises + critical, data=attitude) ## put in the p-values rather

I have seen an example of list apply (lapply) that works nicely to take a list of data objects, and return a list of regression output, which we can pass to Stargazer for nicely formatted output. Using stargazer with a list of lm objects created by lapply-ing over a split data.frame library(MASS) library(stargazer) data(Boston) by.river <- split(Boston, Boston$chas) class(by.river) fit <- lapply(by.river, function(dd)lm(crim ~ indus,data=dd)) stargazer(fit, type = "text") What i would like to do is, instead of passing a list of datasets to do the same regression on each data set (as above),

I have a problem with my stargazer output in R. Here's my original dataframe: Rank p LMax 10% 5% 1% var1 0.427 24.25 21.8 27.4 31.5 var2 0.228 7.23 11.5 12.2 16.7 What stargazer creates: stargazer(data_summary, summary=FALSE, digits = 3) Rank p LMax 10% 5% 1% var1 0.427 24.250 21.800 27.400 31.500 var2 0.248 7.230 11.500 12.200 16.700 It's important to keep the three digits for p but remain 2 digits for the others. digits = 2 doesn't solve the problem, as p then only has two digits. The desired output: Rank p LMax 10% 5% 1% var1 0.427 24.25 21.80 27.40 31.50 var2 0.248 7.23 11.50 12.20 16.70

I am trying to use stargazer (Version 5.2) to output the standard summary() results of a regression estimated with Zelig (Version 5.0.13). However, I obtain the error Error in envRefInferField(x, what, getClass(class(x)), selfEnv) : ‘result’ is not a valid field or method name for reference class “Zelig-ls” when trying to feed the estimated model into stargazer. A minimal working example reproducing the error would be library(Zelig) library(stargazer) data("swiss") z <- zls$new() z$zelig(Fertility~Education, data=swiss) stargazer(z) I assume I need to somehow access the place where the