alldata5 is my data and OROA,IROA,UROA,X2Y,PGR,LTA,gcode are different variables in this data.
basico2<-lm(alldata5$OROA~alldata5$X2Y+alldata5$PGR+alldata5$LTA+factor(alldata5$gcode))
basici2<-lm(alldata5$IROA~alldata5$X2Y+alldata5$PGR+alldata5$LTA+factor(alldata5$gcode))
basicu2<-lm(alldata5$UROA~alldata5$X2Y+alldata5$PGR+alldata5$LTA+factor(alldata5$gcode))
stargazer(basico2,basici2,basicu2, dep.var.labels=c("OROA","IROA","UROA"), omit="gcode",type="html", out="E:\1.basic ols output\1.1two year.ols.htm")
I can use stargazer for lm() function,but how can I use it for lm.cluster() function?Like:
library( miceadds)
basico2c<-lm.cluster(data=alldata5,formula=OROA~X2Y+PGR+LTA+factor(gcode),cluster="year")
basici2c<-lm.cluster(data=alldata5,formula=IROA~X2Y+PGR+LTA+factor(gcode),cluster="year")
basicu2c<-lm.cluster(data=alldata5,formula=UROA~X2Y+PGR+LTA+factor(gcode),cluster="year")
It will be faild if I use
stargazer(basico2C,basici2C,basicu2C, dep.var.labels=c("OROA","IROA","UROA"), omit="gcode",type="html", out="E:\1.basic ols output\1.1two year.ols.htm")