Easy Summary Tables in R with gtsummary

The gtsummary package lets you produce summary statistics for your numeric and categorical variables, formatted into a neat table. You can include p-values for pairwise comparisons and also split your summary across the categories of one of your covariates.
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[@SimonMcGrath]

Thanks very much. This is a great little package, well explained, and it’s made my life a lot easier.

[@raould2590]

This is excellent, very helpful! Thank you so much for this!

[@AM-rp8xn]

In the middle of finishing a research thesis and was struggling with the table 1 function. Thanks for explaining the functionality of this package in such an easy to understand way!

[@DrLyndonWalker]

All the best with the thesis

[@luwanda03]

Thanks, Walker! I am now your new subscriber

[@mdhayirmohamud595]

Very helpful. Thank you

[@hseyedagha]

that was helpful, thanks for sharing 😊😊

[@lavedadean]

Well explained here thanks

[@andresvinueza1992]

Muchisimas gracias. Saludos desde Cuba. :)

[@luwanda03]

Oiga hermano, de que parte de Cuba estas hermano?

[@danielkusters1564]

tks so much!!!!

[@nukenelson]

Is it possible that alongwith P value we also have Chi Square Statistics value & df value in GtSummary table..if yes what's the code

[@DrLyndonWalker]

Absolutely. It's in the list here: www.danieldsjoberg.com/gtsummary/reference/tests.html

[@nukenelson]

@@DrLyndonWalker As I was going through the reference you forwarded: ( correct me if I am wrong )
1. add_p() function will automatically pick up the relevant available Statistical test and will provide the values
2. In add_p(test.args=) function , I need to specify the relevant test using code given adajcent to the test, it will not automatically pick up the available statistical test.

[@DrLyndonWalker]

​@nukenelson not in front of R right to test but something like this should do it.
chatgpt.com/share/0fca98cf-7d8d-4795-a737-7475bbe7d79a

[@MizanurShuvraRidwan]

Thanks for the video, do you know how to create summary tables for Multiple response questions? Would highly appreciate any guidance.

[@DrLyndonWalker]

Maybe something like this cran.r-project.org/web/packages/tidyREDCap/vignettes/makeChooseAllTable.html

[@MizanurShuvraRidwan]

@@DrLyndonWalker Thank you sir! Really apprecaite it!

[@diegorada2235]

Thank you for the excellent video. Is there any way to add the missing value propositions by variable?

[@DrLyndonWalker]

There is the missing parameter in tbl_summary but it is global (omit all, always include, only show if present). If you wanted to include/exclude a single variable only I would do it earlier in the chain by using something like na.omit or subsetting (eg something like square brackets with an !is.na()

[@jukangRN]

Thank you for the video. I get an error message below when I try to require (installation works without any issues) gtsummary. Do you know what I should do to solve this issue?
I would appreciate any guidance. Thanks.
"Error: package or namespace load failed for ‘gtsummary’ in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]):
namespace ‘vctrs’ 0.6.2 is already loaded, but >= 0.6.3 is required"

[@DrLyndonWalker]

Try install.packages("vctrs"). If that doesn't work, run remove.packages("vctrs") first and then try install.packages("vctrs") run remove.packages("vctrs") first and then try install.packages("vctrs")

[@jukangRN]

@@DrLyndonWalker Thank you!!

[@user-dl8le5cs6t]

is there a way I can include complex survey design to get weighted estimates?

[@DrLyndonWalker]

I would do that by using a package like survey to get the figures I want, then a table package like flextable or tabyl in janitor to make my tables.

[@matiasramirez8443]

should this package work well when knitting into PDF or word?

[@DrLyndonWalker]

There is a great summary on this blog: www.danieldsjoberg.com/gtsummary/articles/rmarkdown.html

[@kondaranjithgoud3097]

Hello Sir,
Could you please guide me how to convert the viewer window to RTF file in R

[@DrLyndonWalker]

Do you want to export as an rtf? You could use rmarkdown for the whole project bookdown.org/yihui/rmarkdown/rich-text-format-document.html
Or something like this for just the image
stackoverflow.com/questions/38035764/r-language-writing-a-jpeg-into-an-rtf-document-using-rtf-package