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I like Positron, and have started using it in addition to RStudio. One of the reasons I still use RStudio is the way RStudio handles nested tables in a view.
RStudio Nested Table View...
library(tidyverse)
view_tibble <- tibble(
group = c("A", "B"),
data = list(
tibble(id = 1:3, value = c(10, 20, 30)),
tibble(id = 4:6, value = c(40, 50, 60))
)
)
view_tibble |> View()
I can then click on one of the nested tables and it will infer that I want a pop-out of the nested data...
This is a very handy functionality, especially to check multiple documents to make sure the same / similar data is being extracted. While I know this is possible to do with code alone, the point-and-click functionality here is extremely useful in some circumstances.
Positron Nested Table View...
While the interface is clean, the inability to click on the nested table and have a pop-out view of the data is mildly annoying. However, it is kind of supported through the Data Variables panel...
But these tables are not labeled according to their grouping variables, which for longer and more complex examples becomes pretty hard to track with just the order of their appearance.
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I like Positron, and have started using it in addition to RStudio. One of the reasons I still use RStudio is the way RStudio handles nested tables in a view.
RStudio Nested Table View...
I can then click on one of the nested tables and it will infer that I want a pop-out of the nested data...
This is a very handy functionality, especially to check multiple documents to make sure the same / similar data is being extracted. While I know this is possible to do with code alone, the point-and-click functionality here is extremely useful in some circumstances.
Positron Nested Table View...
While the interface is clean, the inability to click on the nested table and have a pop-out view of the data is mildly annoying. However, it is kind of supported through the Data Variables panel...
But these tables are not labeled according to their grouping variables, which for longer and more complex examples becomes pretty hard to track with just the order of their appearance.
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