stargazer

问题 i am trying to use stargazer to export my regression result. I wanted to be able to report both coefficient and standard error in separate columns see this pic here: Formatted I wanted to be able to achieve However I can only get coefficient and standard error in the same row using single.row = TRUE. Is there something to achieve the desired result?Thank you so much! My current format 来源： https://stackoverflow.com/questions/52172469/report-regression-result-using-stargazer-to-add-separate

问题 R novice here. I'm having issues working with lmerTest and stargazer . I was following the tutorial here to get stargazer to work with lme4 in R. http://svmiller.com/blog/2015/02/quasi-automating-the-inclusion-of-random-effects-in-rs-stargazer-package/ I ran this example with no issues. library(lme4) library(stargazer) data(cake) summary(M1 <- lmer(angle ~ temp + (1 | replicate) + (1|recipe:replicate), cake, REML= FALSE)) summary(M2 <- lmer(angle ~ factor(temperature) + (1 | replicate) + (1

问题 When using stargazer there is an argument, omit.stat , however I need to remove the test statistics from below my coefficient values and it isn't an argument listed in the stargazer package documentation (PDF) (pp. 14–15). Does anyone know how I might go about this? For Example: install.packages('stargazer'); library(stargazer) linear.1 <- lm(rating ~ complaints + privileges + learning + raises + critical, data=attitude) linear.2 <- lm(rating ~ complaints + privileges + learning, data

问题 When using stargazer there is an argument, omit.stat , however I need to remove the test statistics from below my coefficient values and it isn't an argument listed in the stargazer package documentation (PDF) (pp. 14–15). Does anyone know how I might go about this? For Example: install.packages('stargazer'); library(stargazer) linear.1 <- lm(rating ~ complaints + privileges + learning + raises + critical, data=attitude) linear.2 <- lm(rating ~ complaints + privileges + learning, data

问题 I'm using the R package stargazer to create high-quality regression tables, and I would like to use it to create a summary statistics table. I have a factor variable in my data, and I would like the summary table to show me the percent in each category of the factor -- in effect, separate the factor into a set of mutually exclusive logical (dummy) variables, and then display those in the table. Here's an example: > library(car) > library(stargazer) > data(Blackmoor) > stargazer(Blackmoor[, c(

问题 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) ---------------------------------------------------

问题 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? 回答1: 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 ~

问题 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? 回答1: 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 ~

问题 I am using Stargazer to report the results from some models where I use robust standard errors. The process of calculating these and then feeding the models to Stargazer strips out data such as R^2 and so I need to add it in manually. Doing so, however, is causing me problems. Below is the basic stargazer() call that I'm trying to run. Following it and some discussion is the code needed to generate the data going into the stargazer() call: stargazer(fit1_robust, fit2_robust, keep.stat = c("n"

问题 I am using Stargazer to report the results from some models where I use robust standard errors. The process of calculating these and then feeding the models to Stargazer strips out data such as R^2 and so I need to add it in manually. Doing so, however, is causing me problems. Below is the basic stargazer() call that I'm trying to run. Following it and some discussion is the code needed to generate the data going into the stargazer() call: stargazer(fit1_robust, fit2_robust, keep.stat = c("n"