The end of 2017 is upon us and I was wondering if it could be possible that you share with us the guidelines about the development of jamovi for the next year? So that we could get a feel of the general directions jamovi will take.
beside a clear roadmap, i hope you would let us (for those who could/would help) to participate for non-development activities too, such as news writing, blog, documentation, translation in other languages (I can do it for French and Arabic), ...
I mean by that more open sourcing the whole actions around JAMOVI
It could help you focusing more on dev stuff when others could contribute and manage other things with/for you, for Jamovi.
hey rhainez, yes! thanks for chasing this up. here's our roadmap so far. give me a few more days, and we'll publish it on our website:
now
- advanced formulas
allows the expression of more complex formulas, i.e. if statements, etc.
this is in the current release, but i'm going to tweak it a bit more.
mid feb
- binary logistic regression
w00t! this is *really* nice.
late feb
- linear regression redux
- filtering
we want to apply the lessons learned/ui developed from the binary logistic regression *back* to linear regression.
filtering allows the whole data set to be filtered according to criteria. i.e. excluding partipants with scores more than 3 standard deviations from the mean, excluding participants who score below chance, excluding males, etc.
recoding allows for recoding variables from one type to another. it's not *that* different to computed variables, but it's a more expressive, purpose built ui.
Thank you very much for this detailed and ambitious schedule. It seems very interesting.
I especially look forward to play with the filtering option Do you also plan to add this feature to other analysis like t-tests or Anovas as well?
yup, so filtering will apply to the data set as a whole. so *all* analyses will be able to take advantage of it.
it's intended for things like, 'exclude all participants with scores more than 3 standard deviations from the mean', or 'exclude participants who's performance is below chance". where you want to exclude them from *every* analysis.
if you want to filter some things for *just one* analysis, (and not all) the improved formulas in compute variable are what you want. i.e. you might create a column called `only males` with the formula:
=FILTER(group, group == 'Male')
i've been meaning to update the user guide about this.
Just kickstarting this - I'm trying to plan for teaching with Jamovi for 2019, semester 1 and want to write my workbook around it - do you have a timeframe for a 1.0 release or would you recommend working to the 0.9.5 ?
<cheeky> I love the concept of jmv syntax so I really wouldn't hate to be able to integrate that in....</cheeky>
