当我在 stargazer
中生成一个表并忽略固定效果,然后指定 omit.labels
选项时,stargazer(版本 5.2.2)对每个显示“否”柱子。这是一个例子:
library(stargazer)
# generate example data
set.seed(1)
list_of_states <- rep(c(1, 2, 3, 4, 5), 5)
df <- data.frame("state" = list_of_states, "y" = runif(25),
"x1" = runif(25), "x2" = runif(25))
# OLS without fixed effects
ols.1 <- glm(y ~ x1, data = df)
ols.2 <- glm(y ~ x1 + x2, data = df)
# OLS with fixed effects
fe.1 <- glm(y ~ x1 + factor(state), data = df)
fe.2 <- glm(y ~ x1 + x2 + factor(state), data = df)
stargazer(ols.1, ols.2, fe.1, fe.2,
type = "text",
align = TRUE,
omit = c("state"),
omit.labels = c("State FE"))
这输出
==================================================
Dependent variable:
--------------------------------
y
(1) (2) (3) (4)
--------------------------------------------------
x1 0.088 0.098 0.151 0.157
(0.241) (0.264) (0.263) (0.283)
x2 0.028 0.022
(0.270) (0.287)
Constant 0.485*** 0.467* 0.466** 0.452
(0.142) (0.227) (0.215) (0.280)
--------------------------------------------------
State FE No No No No
--------------------------------------------------
Observations 25 25 25 25
Log Likelihood -5.321 -5.315 -3.528 -3.524
Akaike Inf. Crit. 14.642 16.630 19.056 21.048
==================================================
Note: *p<0.1; **p<0.05; ***p<0.01
“状态 FE”行中的标签应在最后两列中显示"is"。这是错误吗?
最佳答案
简短的回答是这是一个错误。看起来代码的目的是创建一个看起来像的矩阵
cbind(names(coef(ols.1)), names(coef(fe.1)))
# [,1] [,2]
# [1,] "(Intercept)" "(Intercept)"
# [2,] "x1" "x1"
# [3,] "(Intercept)" "factor(state)2"
# [4,] "x1" "factor(state)3"
# [5,] "(Intercept)" "factor(state)4"
# [6,] "x1" "factor(state)5"
然后检查每列是否有 omit
正则表达式。然而,实际发生的事情是这样的
cbind(cbind(NULL, names(coef(ols.1))), names(coef(fe.1)))
# [,1] [,2]
# [1,] "(Intercept)" "(Intercept)"
# [2,] "x1" "x1"
这导致找不到 omit
项。发生这种情况是因为,从 ?cbind
When the arguments consist of a mix of matrices and vectors the number of columns (rows) of the result is determined by the number of columns (rows) of the matrix arguments. Any vectors have their values recycled or subsetted to achieve this length.
关于r - 漏洞? Stargazer 无法使用 "omit"选项正确显示固定效应/因子标签?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/53026337/