View() in RStudio works but View() in R x64 doesn't?
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
add a comment |
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
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 ofstr(fit)
andsummary(fit)
– Mako212
Nov 12 '18 at 17:22
add a comment |
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
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
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 ofstr(fit)
andsummary(fit)
– Mako212
Nov 12 '18 at 17:22
add a comment |
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 ofstr(fit)
andsummary(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
add a comment |
1 Answer
1
active
oldest
votes
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)
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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)
add a comment |
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)
add a comment |
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)
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)
answered Nov 12 '18 at 17:25
forestfanjoeforestfanjoe
327210
327210
add a comment |
add a comment |
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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 '18 at 17:20
RStudio is essentially showing you a combination of
str(fit)
andsummary(fit)
– Mako212
Nov 12 '18 at 17:22