I am trying to produce a descriptive statistics table from a survey object using the
gtsummary package. I want to include the differences in descriptive statistics depending on whether respondents voted for Trump or not. I don’t know how to control the number of digits produced by add_differences(), so that it matches the rest of the table.

I’m trying to customize the labels of a gtsummary::tbl_summary() and I’m having some trouble adding units to variables which do have this information.

gtsummary was working fine originally, but at some point it became unusable. I thought it might be an error when creating a fairly complex table, but even with the following simple code, an error occurs.Can anyone give me some advice?

gtsummary was working fine originally, but at some point it became unusable. I thought it might be an error when creating a fairly complex table, but even with the following simple code, an error occurs.Can anyone give me some advice?

I have multiple columns created from the “by” variable that I want mean() and sd(), but in one column (the last) I just want the mean(). Is there a way to format statistics by column as opposed to row with tbl_summary()?

trial |> select(trt,marker,grade,response) |> tbl_continuous(marker, statistic = ~”{mean} ({sd})”) |> add_p() I want to use t-test and ANOVA in add_p(), I did not find enough documentation in this part or how to use specific version of t-test and how to use ANOVA only when there are more than 2 levels and t-test when there are […]

trial |> select(trt,marker,grade,response) |> tbl_continuous(marker, statistic = ~”{mean} ({sd})”) |> add_p() I want to use t-test and ANOVA in add_p(), I did not find enough documentation in this part or how to use specific version of t-test and how to use ANOVA only when there are more than 2 levels and t-test when there are […]

trial |> select(trt,marker,grade,response) |> tbl_continuous(marker, statistic = ~”{mean} ({sd})”) |> add_p() I want to use t-test and ANOVA in add_p(), I did not find enough documentation in this part or how to use specific version of t-test and how to use ANOVA only when there are more than 2 levels and t-test when there are […]

trial |> select(trt,marker,grade,response) |> tbl_continuous(marker, statistic = ~”{mean} ({sd})”) |> add_p() I want to use t-test and ANOVA in add_p(), I did not find enough documentation in this part or how to use specific version of t-test and how to use ANOVA only when there are more than 2 levels and t-test when there are […]

trial |> select(trt,marker,grade,response) |> tbl_continuous(marker, statistic = ~”{mean} ({sd})”) |> add_p() I want to use t-test and ANOVA in add_p(), I did not find enough documentation in this part or how to use specific version of t-test and how to use ANOVA only when there are more than 2 levels and t-test when there are […]