如何在R中使用stargazer在同一行中输出多个变量 [英] How to output several variables in the same row using stargazer in R
问题描述
我想从同一行中的多个回归中输出交互项,并将其称为交互".到目前为止,我所拥有的是交互作用术语显示在两个称为交互作用"的不同行中(请参见下面的代码).
I would like to output the interaction terms from several regressions in the same row and call it "Interaction". So far what I have is that the interaction terms show up in two different rows called "Interaction" (see code below).
这里已经问过这个问题,但是我的分数还不够高,不能对其进行评论或评论:
This question has already been asked here, but my score isn't high enough yet to upvote it or comment on it: https://stackoverflow.com/questions/28859569/several-coefficients-in-one-line.
library("stargazer")
stargazer(attitude)
stargazer(attitude, summary=FALSE)
# 2 OLS models with Interactions
linear.1 <- lm(rating ~ complaints + privileges + complaints*privileges
, data=attitude)
linear.2 <- lm(rating ~ complaints + learning + complaints*learning, data=attitude)
stargazer(linear.1, linear.2, title="Regression Results", type="text",
covariate.labels=c("Complaints", "Privileges", "Interaction", "Learning", "Interaction"))
谢谢您的帮助.
推荐答案
我认为这不是本机支持的,因为这不是一个好主意.您正在要求混淆表中数字的含义,这对您的读者没有帮助.
I think this is not natively supported because it is not a good idea. You're asking to obfuscate the meaning of the numbers in your table, which won't help your reader.
现在需要说明的是,您可以通过修改 lm
对象的内容来做到这一点:
That caveat now stated, you can do this by modifying the contents of the lm
objects:
# copy objects just for demonstration
m1 <- linear.1
m2 <- linear.2
# see names of coefficients
names(m1$coefficients)
# [1] "(Intercept)" "complaints" "privileges" "complaints:privileges"
names(m2$coefficients)
# [1] "(Intercept)" "complaints" "learning" "complaints:learning"
# replace names
names(m1$coefficients)[names(m1$coefficients) == "complaints:privileges"] <- "interaction"
names(m2$coefficients)[names(m2$coefficients) == "complaints:learning"] <- "interaction"
结果:
> stargazer(m1, m2, title="Regression Results", type="text")
Regression Results
==========================================================
Dependent variable:
----------------------------
rating
(1) (2)
----------------------------------------------------------
complaints 1.114** 0.307
(0.401) (0.503)
privileges 0.434
(0.570)
learning -0.171
(0.570)
interaction -0.007 0.006
(0.008) (0.009)
Constant -7.737 31.203
(27.409) (31.734)
----------------------------------------------------------
Observations 30 30
R2 0.692 0.713
Adjusted R2 0.657 0.680
Residual Std. Error (df = 26) 7.134 6.884
F Statistic (df = 3; 26) 19.478*** 21.559***
==========================================================
Note: *p<0.1; **p<0.05; ***p<0.01
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