Example data:
library(sure) # for residual function and sample data sets
library(MASS) # for polr function
library(stargazer)
#rm(df1)
data("df1", package="sure")
data("df2", package="sure")
df1 <- df1
df1$x2 <- df2$y
df1$x3 <- df2$x
df1$y <- df3$x/10
lm1 <- lm(y~x, data=df1)
lm2 <- lm(y~x, data=df1)
polr1<- polr(x2~x3, method="probit", Hess=TRUE, data=df1)
depvarlab <- c("-", "-", "-")
stargazer(lm1, lm2, polr1, type="text", dep.var.labels = depvarlab, keep.stat=c("n", "rsq"))
I have tried everything to exclude the model types (OLS etc.), without success. How do I keep stargazer from displaying the model type?
CodePudding user response:
One can set model.names
to FALSE
.
stargazer(lm1, lm2, polr1, type="text",
dep.var.labels = depvarlab,
keep.stat=c("n", "rsq"), model.names = FALSE)
==========================================
Dependent variable:
-----------------------------
- -
(1) (2) (3)
------------------------------------------
x 0.100*** 0.100***
(0.000) (0.000)
x3 0.088***
(0.018)
Constant -0.000*** -0.000***
(0.000) (0.000)
------------------------------------------
Observations 2,000 2,000 2,000
R2 1.000 1.000
==========================================
Note: *p<0.1; **p<0.05; ***p<0.01