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防止stargzazer将列名分散到多个列上_R_Stargazer - Fatal编程技术网

防止stargzazer将列名分散到多个列上

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

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$x2 <- df2$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