[R] my R code worked well when running the first 1000 lines of R code

[CALUM POLWART]

I sometimes think people on this list are quite rude to posters.

I'm afraid I'm likely to join in with some rudeness?

1. "Here is some code that works but also doesn't" is probably not going to
get you an answer
2. I provide no information about the data it works on or doesn't
3. I tell you I'm using a load of dependencies, but don't tell you what
4. I refer to 2000 lines of code but probably means 2000 lines of data?

So. Please post a question someone can actually answer.

If the question is "why might code fail on a 2000 line dataset when it
works on 1000 line dataset" then here are some thoughts:

* Is the 1000 lines being run as dataset[1:1000,] or is it dataset1 and
dataset2 ?
* Is there a structural difference in the datasets - i.e. numbers,
characters or factors as columns. Often import functions guess a column
type by reading the first 500/1000 lines. If the data has numbers in column
1 for 1-1000 but on line 1999 has a letter... The data type may vary.

On Wed, 12 Jun 2024, 17:28 Yuan Chun Ding via R-help, <r-help using 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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