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











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0
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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







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  • 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 at 17:20










  • RStudio is essentially showing you a combination of str(fit) and summary(fit)
    – Mako212
    Nov 12 at 17:22















up vote
0
down vote

favorite












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


















  • 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 at 17:20










  • RStudio is essentially showing you a combination of str(fit) and summary(fit)
    – Mako212
    Nov 12 at 17:22













up vote
0
down vote

favorite









up vote
0
down vote

favorite











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













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




r listview






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 12 at 16:55









Linsu 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 at 17:20










  • RStudio is essentially showing you a combination of str(fit) and summary(fit)
    – Mako212
    Nov 12 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 at 17:20










  • RStudio is essentially showing you a combination of str(fit) and summary(fit)
    – Mako212
    Nov 12 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 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 at 17:20












RStudio is essentially showing you a combination of str(fit) and summary(fit)
– Mako212
Nov 12 at 17:22




RStudio is essentially showing you a combination of str(fit) and summary(fit)
– Mako212
Nov 12 at 17:22












1 Answer
1






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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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    up vote
    0
    down vote













    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

























      up vote
      0
      down vote













      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























        up vote
        0
        down vote










        up vote
        0
        down vote









        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 at 17:25









        forestfanjoe

        327210




        327210






























             

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