jamovi

Hello any plans to implement this? The query here is from 7 yrs ago!!l what are you referring to? what do you miss in jamovi? haha sorry damn I was checking a couple of old threads (one which was asking for implementation of simple effects analysis). Mistakenly, put this post in the wrong thread I ...

simple effects are just a different way of doing post-hocs? i.e. all the information for simple effects are available in post-hoc results? jonathon To my understanding, simple main effects analysis is 'a priori' whereas post hoc is 'a posteriori'. Hence a limitation of post-hoc analysis occurs for ...

Hello any plans to implement this? The query here is from 7 yrs ago!! Interesting read of the JASP vs Jamovi blog article there too. Years ago I started using JASP, but then I gravitated towards jamovi because in general I find it to be more stable, especially last 2 yrs or so it NEVER crashes (whic...

#3 An already-available, semi-automated solution is to use jamovi's Rj module to run code something like the following: # This code computes the Holm-corrected p values for a vector of # uncorrected p values. (Options besides "holm" are: # "hochberg", "hommel", "b...

quick follow up here....

In the event an uncorrected post-hoc p value is < 0.001 then obviously, even a simple planned comparison bonferroni correction becomes more complicated without knowing the exact p value.

In the post-hoc sections of ANOVA and Linear models there are multiple options for post-hoc tests (Bonferroni, Tukey HSD and so on). However there is no possible correction for PLANNED comparisons. For example, currently i'm running a rmANOVA (and comparing the results to a LMM) that has a total num...

I am finding that I spend a LOT of time continually writing column headers manually in the data set-up section. Imagine copying 20 columns of data from excel and the first row has column headers. Surely there is way these can be automatically imported into jamovi so there is no need to manually ente...

Yes! I'm facing same issue. I'd like to be able to plot the LMM results from Jamovi in Graphpad. This can of course be done in r, but the whole reason I use jamovi is because the GUI is faster (for me) than writing the R code which I'm less familiar with.

I have installed v2.6.23 and added the GAMLj3 module. However now the previous GAMlj module is not working properly. Specifically, things seem to work as normal until the random effects section, where neither click and drag or "select -> add" functions work at all. Is this a known problem ...

where are you copy/pasting your data from? (sorry, just trying to get my head around the use-case). this has probably become our most request feature, so it shouldn't be too far away. cheers Re-visiting an old common request to ask whether it has been implemented yet? The use case is very simple. I...