stargazer

来源： https://stackoverflow.com/questions/53026337/bug-stargazer-fails-to-properly-display-fixed-effects-factor-labels-with-omit

来源： https://stackoverflow.com/questions/53026337/bug-stargazer-fails-to-properly-display-fixed-effects-factor-labels-with-omit

问题 I've been trying to automate the results of some df table in latex using the glue and stargazer packages, but I haven't had any results (what I want is for the meaning "^{*}" to appear next to each value as it is in the table) to use then RMarkdown. What I want to get: My current ugly and error-prone fix: library(dplyr) library(glue) library(stargazer) X1 = c(4.70e1, 4.72e1, 4.76e1, 2.73e20) X2 = c(4.67e1, 4.69e1, 4.77e1, 2.05e20) tab.out = data.frame(X1, X2) tab.out$max<-apply(tab.out, 1,

问题 I included resize.height=0.5,resize.width=0.5 in the code chunk, but still can't resize the table generated by stargazer. Can anyone tell me why? My code chunk options look like this: echo=FALSE,warning=FALSE,results='asis',resize.height=0.5,resize.width=0.5} The stargazer codes are like this: stargazer(did.student,student.control.kmt,student.control.neu,student.control.dpp,header = FALSE, title="DD Model", covariate.labels = c("Treatment","group","Treatment*group"), dep.var.labels =

问题 I included resize.height=0.5,resize.width=0.5 in the code chunk, but still can't resize the table generated by stargazer. Can anyone tell me why? My code chunk options look like this: echo=FALSE,warning=FALSE,results='asis',resize.height=0.5,resize.width=0.5} The stargazer codes are like this: stargazer(did.student,student.control.kmt,student.control.neu,student.control.dpp,header = FALSE, title="DD Model", covariate.labels = c("Treatment","group","Treatment*group"), dep.var.labels =

问题 I am trying to create a simple summary statistics table (min, max, mean, n, etc) that handles both factor variables and continuous variables, even when there is more than one factor variable. I'm trying to produce good looking HTML output, eg stargazer or huxtable output. For a simple reproducible example, I'll use mtcars but change two of the variables to factors, and simplify to three variables. library(tidyverse) library(stargazer) mtcars_df <- mtcars mtcars_df <- mtcars_df %>% mutate(vs =

问题 I am struggling with working out how to control the line style settings in stargazer. Below is my current working example. I like the double line at the top of the table, but I would like to replace the double line at the bottom of the table with a single line, and I would also like to replace the single solid line that separates the slope and intercept information from the summary information with a dashed/dotted line. For all steps up to this point I have been able to follow the stargazer

问题 If I'm running a fixed effects model in r using lm and the factor command, how can I suppress the factor variable coefficients in a stargazer model? i.e. my model is: m1<-lm(GDP~pop_growth + factor(city)) and I want to report findings with only an intercept and coefficient on pop_growth, not coefficients on every dummy variable for cities. EDIT: Issue was, as it turns out, with variable name encoding. omit="city" works. 来源： https://stackoverflow.com/questions/49368917/omit-output-of-a-factor

问题 There appears to be a bug in version 5.2 of the stargazer package, where the omit.label functionality does not work consistently depending on the order of the included models: library(stargazer) library(ggplot2) as.data.frame(data("midwest")) fit.1 <- lm(poptotal ~ popadults, data = midwest) fit.2 <- lm(poptotal ~ popadults + state, data = midwest) # Works, column listed as "Yes": stargazer(fit.2, omit = c("state"), omit.labels = c("States")) # Does not work, both columns listed as "No":

问题 There appears to be a bug in version 5.2 of the stargazer package, where the omit.label functionality does not work consistently depending on the order of the included models: library(stargazer) library(ggplot2) as.data.frame(data("midwest")) fit.1 <- lm(poptotal ~ popadults, data = midwest) fit.2 <- lm(poptotal ~ popadults + state, data = midwest) # Works, column listed as "Yes": stargazer(fit.2, omit = c("state"), omit.labels = c("States")) # Does not work, both columns listed as "No":