I am assuming from your message that *exactly* the same code you show was
rerun and yielded different results. If that be so, I doubt that this can
be answered without knowing what that other R code did -- and perhaps not
even then -- and/or whether any of that code changed your data frame.
Another guess is that one of those other R packages may have replaced the
summarize method you used with another (customized) method.

Hopefully, someone else may have more insight than I, though.

-- Bert

On Wed, Jun 12, 2024 at 9:28 AM Yuan Chun Ding via R-help <
r-help@r-project.org> wrote:

> Hi R users,
>
> The following code worked well to summarize four data groups in a
> dataframe for three variables (t_depth, t_alt_count, t_alt_ratio), 12
> columns of summary, see attached.
> However, after running another 2000 lines of R codes using functions from
> more than 10 other R  libraries, then it only generated one column of
> summary.
> Do you know why?
>
> Thank you,
>
> Yuan Chun Ding
>
> summary_anno1148ft <- anno1148ft %>%
>   pivot_longer(c(t_depth, t_alt_count, t_alt_ratio), names_to = "measure")
> %>%
>   group_by(dat, measure) %>%
>   summarize(minimum = min(value,na.rm=T),
>             q25 = quantile(value, probs = 0.25,na.rm=T),
>             med = median(value,na.rm=T),
>             q75 = quantile(value, probs = 0.75,na.rm=T),
>             maximum = max(value,na.rm=T),
>             average = mean(value,na.rm=T),
>             #standard_deviation = sd(value),
>             .groups = "drop"
>   )
> summary_anno1148ft <-t(summary_anno1148ft)
>
>
>
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