View() in RStudio works but View() in R x64 doesn't?










0















Let this be the arbitrary code:



x <- rnorm(100)
y <- runif(100)
fit <- lm(y~x)


Using View(fit) in RStudio gives a list of variables. While View(fit) in the original R x64 console, v3.5.1, returns the error:

"Error in as.data.frame.default(x) : cannot coerce class ‘"lm"’ to a data.frame"



What is causing this?










share|improve this question

















  • 2





    Per the documentation,View() "[invokes] a spreadsheet-style data viewer on a matrix-like R object.". lm() does not return a matrix style object, however, RStudio extends the functionality to show you additional object properties.

    – Mako212
    Nov 12 '18 at 17:20











  • RStudio is essentially showing you a combination of str(fit) and summary(fit)

    – Mako212
    Nov 12 '18 at 17:22















0















Let this be the arbitrary code:



x <- rnorm(100)
y <- runif(100)
fit <- lm(y~x)


Using View(fit) in RStudio gives a list of variables. While View(fit) in the original R x64 console, v3.5.1, returns the error:

"Error in as.data.frame.default(x) : cannot coerce class ‘"lm"’ to a data.frame"



What is causing this?










share|improve this question

















  • 2





    Per the documentation,View() "[invokes] a spreadsheet-style data viewer on a matrix-like R object.". lm() does not return a matrix style object, however, RStudio extends the functionality to show you additional object properties.

    – Mako212
    Nov 12 '18 at 17:20











  • RStudio is essentially showing you a combination of str(fit) and summary(fit)

    – Mako212
    Nov 12 '18 at 17:22













0












0








0








Let this be the arbitrary code:



x <- rnorm(100)
y <- runif(100)
fit <- lm(y~x)


Using View(fit) in RStudio gives a list of variables. While View(fit) in the original R x64 console, v3.5.1, returns the error:

"Error in as.data.frame.default(x) : cannot coerce class ‘"lm"’ to a data.frame"



What is causing this?










share|improve this question














Let this be the arbitrary code:



x <- rnorm(100)
y <- runif(100)
fit <- lm(y~x)


Using View(fit) in RStudio gives a list of variables. While View(fit) in the original R x64 console, v3.5.1, returns the error:

"Error in as.data.frame.default(x) : cannot coerce class ‘"lm"’ to a data.frame"



What is causing this?







r listview






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 12 '18 at 16:55









Linsu HanLinsu Han

83




83







  • 2





    Per the documentation,View() "[invokes] a spreadsheet-style data viewer on a matrix-like R object.". lm() does not return a matrix style object, however, RStudio extends the functionality to show you additional object properties.

    – Mako212
    Nov 12 '18 at 17:20











  • RStudio is essentially showing you a combination of str(fit) and summary(fit)

    – Mako212
    Nov 12 '18 at 17:22












  • 2





    Per the documentation,View() "[invokes] a spreadsheet-style data viewer on a matrix-like R object.". lm() does not return a matrix style object, however, RStudio extends the functionality to show you additional object properties.

    – Mako212
    Nov 12 '18 at 17:20











  • RStudio is essentially showing you a combination of str(fit) and summary(fit)

    – Mako212
    Nov 12 '18 at 17:22







2




2





Per the documentation,View() "[invokes] a spreadsheet-style data viewer on a matrix-like R object.". lm() does not return a matrix style object, however, RStudio extends the functionality to show you additional object properties.

– Mako212
Nov 12 '18 at 17:20





Per the documentation,View() "[invokes] a spreadsheet-style data viewer on a matrix-like R object.". lm() does not return a matrix style object, however, RStudio extends the functionality to show you additional object properties.

– Mako212
Nov 12 '18 at 17:20













RStudio is essentially showing you a combination of str(fit) and summary(fit)

– Mako212
Nov 12 '18 at 17:22





RStudio is essentially showing you a combination of str(fit) and summary(fit)

– Mako212
Nov 12 '18 at 17:22












1 Answer
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I think the viewer panel in RStudio is a bit more advanced than the little program that is launched from the regular R console. You could always try the listviewer package if you can't access RStudio but need this functionality.



library(listviewer)
x <- rnorm(100)
y <- runif(100)
fit <- lm(y~x)
jsonedit(fit)





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    1 Answer
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    1 Answer
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    0














    I think the viewer panel in RStudio is a bit more advanced than the little program that is launched from the regular R console. You could always try the listviewer package if you can't access RStudio but need this functionality.



    library(listviewer)
    x <- rnorm(100)
    y <- runif(100)
    fit <- lm(y~x)
    jsonedit(fit)





    share|improve this answer



























      0














      I think the viewer panel in RStudio is a bit more advanced than the little program that is launched from the regular R console. You could always try the listviewer package if you can't access RStudio but need this functionality.



      library(listviewer)
      x <- rnorm(100)
      y <- runif(100)
      fit <- lm(y~x)
      jsonedit(fit)





      share|improve this answer

























        0












        0








        0







        I think the viewer panel in RStudio is a bit more advanced than the little program that is launched from the regular R console. You could always try the listviewer package if you can't access RStudio but need this functionality.



        library(listviewer)
        x <- rnorm(100)
        y <- runif(100)
        fit <- lm(y~x)
        jsonedit(fit)





        share|improve this answer













        I think the viewer panel in RStudio is a bit more advanced than the little program that is launched from the regular R console. You could always try the listviewer package if you can't access RStudio but need this functionality.



        library(listviewer)
        x <- rnorm(100)
        y <- runif(100)
        fit <- lm(y~x)
        jsonedit(fit)






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 12 '18 at 17:25









        forestfanjoeforestfanjoe

        327210




        327210



























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