Hi All,
I have 1440 simple reg model but R only displays first 10 row, see code below pls can someone advise? Thanks
Hi All,
I have 1440 simple reg model but R only displays first 10 row, see code below pls can someone advise? Thanks
One simple way is to pipe your command into View()
regression %>%
unnest(tidied) %>%
View()
You have to use some special library for that, one option
library(openxlsx)
regressions %>%
unnest(tidied) %>%
write.xlsx(file = "some_name.xlsx")
Hi @2020,
I don't believe that error is due to the write.xlsx
command. But perhaps I'm wrong. The write.xlsx
function will take your data (which is in R
format) and translate and write it to an Excel file (.xlsx
). It won't open the data in Excel, it will just save the file to the current working directory. You will need to locate and open the file yourself. To find out where the file is saved, you can run the following command in R
to find out the working directory (the location on your computer where R
is "looking"):
getwd()
You are getting that error message because you are keeping nested columns in regressions
try selecting only the unnested columns before saving the xlsx file.
Hi Matt, thank you for the explanation. File is in correct location but still not working.
This is a quick way to do it
regressions %>%
unnest(tidied) %>%
select_if(~!is.list(.)) %>%
write.xlsx("sample.xlsx")
You are legend thank you so much. Promise this is my last question ( pls, dont be mad at me ) why I cant open for other output using the code you gave me.
regressions %>%
unnest(glanced, .drop = TRUE) %>%
regressions1 %>%
unnest(tidied) %>%
select_if(~!is.list(.)) %>%
write.xlsx("R-squared.xlsx")
This is the last fish I give you because it seems like you are not learning how to fish, you are not taking syntax into account at all.
regressions %>%
unnest(c(tidied, glanced), .drop = TRUE) %>%
select_if(~!is.list(.)) %>%
write.xlsx("R-squared.xlsx")
If you want to learn this is a good resource
That is just console output if you want to see the rest of the rows add a view()
command at the end, and you will see them on the data viewer.
regressions %>%
unnest(tidied) %>%
view()
You have to pay more attention to the syntax, you are missing a pipe operator
regressions %>%
unnest(glanced, .drop = TRUE) %>%
view()
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