CODEWITHSUNDEEP
rstargazer
yrx1702
yrx1702

Reputation: 1641

Stargazer one line per data set

I am running regressions using various subsets of a data set and a number of dependent variables.

An example using attitude data:

library(stargazer)

#REGRESSIONS USING DATASET 1
linear1.1 <- lm(rating ~ complaints, data = attitude) #dependent 1
linear1.2 <- lm(privileges ~ complaints, data = attitude) #dependent 2

#REGRESSIONS USING DATASET 2
linear2.1 <- lm(rating ~ complaints, data = attitude[1:15,]) #dependent 1
linear2.2 <- lm(privileges ~ complaints, data = attitude[1:15,]) #dependent 2

As you can see, both depdendent variables rating and privileges are used in regressions for both subsets of the data. Using a standard stargazer approach produces the following table:

stargazer::stargazer(linear1.1,linear1.2,linear2.1,linear2.2,
                     omit.stat = "all",
                     keep = "complaints")

Table 1

Each column represents one of the regression models. However, I'd like to have each column represent one dependent variable. Each subset of the data should represent one row:

Table 2

I have produced this table by hand. Does anyone know whether it's possible to achieve this using stargazer? I have a lot of regression subsets and dependent variables, so a highly automatic solution is appreciated. Thanks!

Upvotes: 2

Views: 608

Answers (1)

LocoGris
LocoGris

Reputation: 4480

I just wonder if this little modification from this (Exporting output of custom multiple regressions from R to Latex) will suit you

library(stargazer)
library(broom)

## generate dummy data
set.seed(123)
x <- runif(1000)
z <- x^0.5
y <-  x + z + rnorm(1000, sd=.05)
model1 <- lm(y ~ x)
model2 <- lm(y ~ z)

## transform model summaries into dataframes
tidy(model1) -> model1_tidy
tidy(model2) -> model2_tidy

output <- rbind(model1_tidy,model2_tidy)
stargazer(output, type='text', summary=FALSE)

Upvotes: 1

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