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If you have lot of isotopocules the shot noise plots get very busy, especially when facet_wrap. It might be nice to have a built in filter like as in the fuction call orbi_plot_raw_data(isotopocules = c("13C"), y= ratio). Of course it can be done with a filter call before hand. flageddata_w_ratios |> orbi_analyze_shot_noise() |> dplyr::filter(isotopocule %in% c("13C", "18O")) |> orbi_plot_shot_noise()
The text was updated successfully, but these errors were encountered:
Yes you can use the orbi_filter_isox(). It looks like you also have to filter out the data that has been labeled "unused" in the data_type before calling the shot noise function
I'm in favor of providing an isotopocules parameter since we have that in the other plotting functions it would be consistent (default would be to include all). Could also include a flag whether to show unused data but that's something we could consider for all plotting functions. Default should probably be show_unused = TRUE, yes?
If you have lot of isotopocules the shot noise plots get very busy, especially when facet_wrap. It might be nice to have a built in filter like as in the fuction call
orbi_plot_raw_data(isotopocules = c("13C"), y= ratio)
. Of course it can be done with a filter call before hand.flageddata_w_ratios |> orbi_analyze_shot_noise() |> dplyr::filter(isotopocule %in% c("13C", "18O")) |> orbi_plot_shot_noise()
The text was updated successfully, but these errors were encountered: