jamovi

As this functionality is an important one, can you integrate this option in jamovi instead of using R? It is really helpful and avoids the use of native R.

I am trying to find the unique combinations of origin and dest in R editor. However, the output is not showing the rows number. This is the expected output.

# Find all unique origin and destination pairs
flights |>
distinct(origin, dest)
#> # A tibble: 224 × 2
#> origin dest
#> <chr> <chr>
#> 1 ...

This is a nice hack. But I would like to know the number of rows in this frequency table. Further, is there anyway to export the table as a jamovi data like jtransform export to a new file?

Hi, I am working with flights dataset which is very popular in Hadley Wikham book. I want to find unique origin and destinations. is there anyway we can do it?

Hi,

Is there anyway that I will get the partial eta square for post hoc tests for repeated measures anova.

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 ...

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 ...

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)