the latest JAG3D version contains your suggested feature on group re-selection by data. Please finde this version here: JAG3Dv20210606.

Kind regards
Micha

Simply perfect.

Thank you for your reply and your positive feedback. I'll provide this feature within the next release.

Kind regards
Micha

What do I do with it then?

Nothing particular, once I have the value out of tolerance and the corresponding campaign (group) I go to recheck the data I have loaded and check the anomalous angular values with respect to the history that I have available on other software and I make my decisions about it.

Okay. So the next step is to identify the group(s) containing the observations and to make some kind of analysis. I have thought about this procedure and I've looked for a solution which is more generic and not restricted to a specific task e.g. outliers. I've added a new item "Select item groups" in the context menu of the table. The following screenshot depicts the new option. It is some kind of backward search and selection. It supports multi-selection of the table rows.

I've uploaded a modified JAG3D version that contains this feature. Please take look at this version and let me know, how it works and if it is helpful during your analysis.

Download: JAG3Dv20210522_Windows.zip

(I only upload the Windows version. Let me know, if you are working on Linux or MAC)

Kind regards
Micha

I know the procedures you showed me, but once you have identified the values that have not passed the tests, in a project that contains 4000 angular measurements divided into 100 campaigns (Groups), analyzing the stationing in which the anomalous value resides, is not difficult but rather slow, because you have to scroll one by one or in groups to find the stationing with values out of tolerance.

We have organized the work in Jag3d by measurement campaigns and therefore by groups, each campaign is named with a sequential number, the date, and obviously the station to be oriented.

What do I do with it then?

Nothing particular, once I have the value out of tolerance and the corresponding campaign (group) I go to recheck the data I have loaded and check the anomalous angular values with respect to the history that I have available on other software and I make my decisions about it.

I believe it is an implementation that would greatly facilitate the analysis and "debugging" of the uploaded data.

If you think it is appropriate I can send you a sample project.

Grazie.
Amedeo