防止stargzazer将列名分散到多个列上
我希望stargazer不要将列名防止stargzazer将列名分散到多个列上,r,stargazer,R,Stargazer,我希望stargazer不要将列名depvarlab分散到多个相同的列上(如下面的示例所示) 编辑:实际上,stargazer似乎没有检查depvarlab中的名称是否相同,但它检查回归的因变量是否相同 library(sure) # for residual function and sample data sets library(MASS) # for polr function library(stargazer) rm(df1) df1 <- df1 df1$x2 <- d
depvarlab
分散到多个相同的列上(如下面的示例所示)
编辑:实际上,stargazer
似乎没有检查depvarlab
中的名称是否相同,但它检查回归的因变量是否相同
library(sure) # for residual function and sample data sets
library(MASS) # for polr function
library(stargazer)
rm(df1)
df1 <- df1
df1$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)
polr2<- polr(x2~x3, method="probit", Hess=TRUE, data=df1)
depvarlab <- c("Bladiebla", "Bladiebla", "Somethingelse", "Somethingelse")
stargazer(lm1, lm2, polr1, polr2, type="text", dep.var.labels = depvarlab)
library(sure)#用于残差函数和样本数据集
库(质量)#用于polr功能
图书馆(星探)
rm(df1)
df1请注意,您不应该使用“stargazer”,因为。改为使用“”或“”,或字面上的其他任何内容。
=======================================================================================================================================================
Dependent variable:
-----------------------------------------------------------------------------------------------------------------------
Bladiebla Bladiebla
OLS ordered
probit
(1) (2) (3) (4)
-------------------------------------------------------------------------------------------------------------------------------------------------------
x 0.100*** 0.100***
(0.000) (0.000)
x3 0.088*** 0.088***
(0.018) (0.018)
Constant -0.000*** -0.000***
(0.000) (0.000)
-------------------------------------------------------------------------------------------------------------------------------------------------------
Observations 2,000 2,000 2,000 2,000
R2 1.000 1.000
Adjusted R2 1.000 1.000
Residual Std. Error (df = 1998) 0.000 0.000
F Statistic (df = 1; 1998) 896,416,457,011,699,397,922,228,062,040,004.000*** 896,416,457,011,699,397,922,228,062,040,004.000***
=======================================================================================================================================================
Note: *p<0.1; **p<0.05; ***p<0.01