jamovi

Hi,

I there any option in jamovi that I can use to recode categorical variables automatically like in SPSS instead of using transform option? If there are so many levels and they are not ordered, auto recode is an easy option.

Thanks,
Ramakrishna

I know this method, but I would like to see the combined data in one place. lme4 or nlme got a neat function lmList which achieves exactly this. In future, I would like jamovi should have this capacity to split the data and apply t-test, anova, lm etc and get combined results. I have seen this capab...

Hi, I would like to split my mycars dataset into three subsets based on the cyl variable and apply linear regression on each of these datasets. Is there any way I can do this? Similar R code to achieve this is: models1 = lapply(split(mtcars, mtcars$cyl), \(x)lm(mpg ~ disp, data = x)) tidy_list = lap...

Yes. I got the desired results. But please include these functions lag, lead, diff too in future versions. Followup question, is there any possibility that any one create a time series module based on fpp2 or fpp3?

Yes. This is what I need. But Lag, Lead, diff are more used verbs in econometrics.

Lag -> OFFSET(A, 1)
Lead -> OFFSET(A, -1)
diff_1 -> A - OFFSET(A, 1)
diff_2 -> A - OFFSET(A, 2)

Hi,

Is there any function to create lag and first, second, ... difference variables in Jamovi?

Thanks.

Hi,

I would like to have a functionality similar to ave in base R to create a grouped mean variable. I have a dataset with a continuous variable x and group. Now I want to create a new variable where all observations in a particular group have the same mean. How to do?

Hi, While comparing Config, Metric, Scalar models for MI, I am getting different results while doing manual calculation with constraints score test. Is it comparable with LRT test? Is there any way that jamovi provides a table to compare config vs metric, scalar vs metric using lavTestLRT function o...

For the second question, PIF_3 ~ c(a, b)*1 is working.

Quick followup,

How to release PIF_3 intercept while doing scalar invariance? Seems the group.partial is not effective here.