VAR Estimation Results to Latex by stargazer











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I am trying to use the package Stargazer to "export" my estimation results into LaTeX code. I have read the stargazer manual and even tried to export selected rows without any luck. There are a lot of output for the package to handle.



I create an object



Summary <- summary(VAR(Vektorer, p=1, type="const", ic = c("AIC", "HQ", "SC", "FPE")))


Then, I use the stargazer package



stargazer(Summary)


and get the following error:



Error: Unrecognized object type.



Anyone familiar with this object type and how to export it into LaTeX code? I guess there re other packages which are more suitable for the object type. Unfortunately I am not very familiar with exporting R outputs into LaTeX.










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    up vote
    1
    down vote

    favorite
    1












    I am trying to use the package Stargazer to "export" my estimation results into LaTeX code. I have read the stargazer manual and even tried to export selected rows without any luck. There are a lot of output for the package to handle.



    I create an object



    Summary <- summary(VAR(Vektorer, p=1, type="const", ic = c("AIC", "HQ", "SC", "FPE")))


    Then, I use the stargazer package



    stargazer(Summary)


    and get the following error:



    Error: Unrecognized object type.



    Anyone familiar with this object type and how to export it into LaTeX code? I guess there re other packages which are more suitable for the object type. Unfortunately I am not very familiar with exporting R outputs into LaTeX.










    share|improve this question
























      up vote
      1
      down vote

      favorite
      1









      up vote
      1
      down vote

      favorite
      1






      1





      I am trying to use the package Stargazer to "export" my estimation results into LaTeX code. I have read the stargazer manual and even tried to export selected rows without any luck. There are a lot of output for the package to handle.



      I create an object



      Summary <- summary(VAR(Vektorer, p=1, type="const", ic = c("AIC", "HQ", "SC", "FPE")))


      Then, I use the stargazer package



      stargazer(Summary)


      and get the following error:



      Error: Unrecognized object type.



      Anyone familiar with this object type and how to export it into LaTeX code? I guess there re other packages which are more suitable for the object type. Unfortunately I am not very familiar with exporting R outputs into LaTeX.










      share|improve this question













      I am trying to use the package Stargazer to "export" my estimation results into LaTeX code. I have read the stargazer manual and even tried to export selected rows without any luck. There are a lot of output for the package to handle.



      I create an object



      Summary <- summary(VAR(Vektorer, p=1, type="const", ic = c("AIC", "HQ", "SC", "FPE")))


      Then, I use the stargazer package



      stargazer(Summary)


      and get the following error:



      Error: Unrecognized object type.



      Anyone familiar with this object type and how to export it into LaTeX code? I guess there re other packages which are more suitable for the object type. Unfortunately I am not very familiar with exporting R outputs into LaTeX.







      r latex stargazer






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      share|improve this question











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      share|improve this question










      asked Dec 3 '15 at 18:39









      laviola

      62




      62
























          2 Answers
          2






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          up vote
          2
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          First, I assume that you are using the VAR function from ´vars´. If so, do you really want to extract all the information at once from the summary function? Instead you could chose which information to present by Summary$varresult$´variable´.



          Instead of using stargazer, I used xtable to produce the LaTeX code



          library(vars)
          library(xtable)

          X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))

          model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
          tmp <- summary(model)

          xtable(tmp$varresult$A)
          xtable(tmp$varresult$B)


          Also note all other possible output from tmp$.






          share|improve this answer




























            up vote
            1
            down vote













            The problem is clear in the error message; stargazer does not understand the type of object you are passing it.



            One option is to pass the underlying lm objects, which stargazer does know what to do with. Something along the lines of:



            X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))
            model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
            stargazer::stargazer(model$varresult$A, model$varresult$B)





            share|improve this answer





















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              2 Answers
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              active

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              2 Answers
              2






              active

              oldest

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              active

              oldest

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              active

              oldest

              votes








              up vote
              2
              down vote













              First, I assume that you are using the VAR function from ´vars´. If so, do you really want to extract all the information at once from the summary function? Instead you could chose which information to present by Summary$varresult$´variable´.



              Instead of using stargazer, I used xtable to produce the LaTeX code



              library(vars)
              library(xtable)

              X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))

              model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
              tmp <- summary(model)

              xtable(tmp$varresult$A)
              xtable(tmp$varresult$B)


              Also note all other possible output from tmp$.






              share|improve this answer

























                up vote
                2
                down vote













                First, I assume that you are using the VAR function from ´vars´. If so, do you really want to extract all the information at once from the summary function? Instead you could chose which information to present by Summary$varresult$´variable´.



                Instead of using stargazer, I used xtable to produce the LaTeX code



                library(vars)
                library(xtable)

                X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))

                model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                tmp <- summary(model)

                xtable(tmp$varresult$A)
                xtable(tmp$varresult$B)


                Also note all other possible output from tmp$.






                share|improve this answer























                  up vote
                  2
                  down vote










                  up vote
                  2
                  down vote









                  First, I assume that you are using the VAR function from ´vars´. If so, do you really want to extract all the information at once from the summary function? Instead you could chose which information to present by Summary$varresult$´variable´.



                  Instead of using stargazer, I used xtable to produce the LaTeX code



                  library(vars)
                  library(xtable)

                  X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))

                  model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                  tmp <- summary(model)

                  xtable(tmp$varresult$A)
                  xtable(tmp$varresult$B)


                  Also note all other possible output from tmp$.






                  share|improve this answer












                  First, I assume that you are using the VAR function from ´vars´. If so, do you really want to extract all the information at once from the summary function? Instead you could chose which information to present by Summary$varresult$´variable´.



                  Instead of using stargazer, I used xtable to produce the LaTeX code



                  library(vars)
                  library(xtable)

                  X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))

                  model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                  tmp <- summary(model)

                  xtable(tmp$varresult$A)
                  xtable(tmp$varresult$B)


                  Also note all other possible output from tmp$.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Dec 3 '15 at 22:58









                  Pierre

                  265210




                  265210
























                      up vote
                      1
                      down vote













                      The problem is clear in the error message; stargazer does not understand the type of object you are passing it.



                      One option is to pass the underlying lm objects, which stargazer does know what to do with. Something along the lines of:



                      X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))
                      model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                      stargazer::stargazer(model$varresult$A, model$varresult$B)





                      share|improve this answer

























                        up vote
                        1
                        down vote













                        The problem is clear in the error message; stargazer does not understand the type of object you are passing it.



                        One option is to pass the underlying lm objects, which stargazer does know what to do with. Something along the lines of:



                        X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))
                        model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                        stargazer::stargazer(model$varresult$A, model$varresult$B)





                        share|improve this answer























                          up vote
                          1
                          down vote










                          up vote
                          1
                          down vote









                          The problem is clear in the error message; stargazer does not understand the type of object you are passing it.



                          One option is to pass the underlying lm objects, which stargazer does know what to do with. Something along the lines of:



                          X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))
                          model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                          stargazer::stargazer(model$varresult$A, model$varresult$B)





                          share|improve this answer












                          The problem is clear in the error message; stargazer does not understand the type of object you are passing it.



                          One option is to pass the underlying lm objects, which stargazer does know what to do with. Something along the lines of:



                          X <- cbind("A"=rnorm(100, 50), "B"=rnorm(100, 600, 50))
                          model <- VAR(X, p=1, type = "const", ic = c("AIC", "HQ", "SC", "FPE"))
                          stargazer::stargazer(model$varresult$A, model$varresult$B)






                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered Aug 29 '17 at 8:35









                          t-student

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