jamovi

I successfully wrote one or two modules but they are "standalone", work independent of others.

Can a module save an object that can be accessed by other modules?
If yes, how can a module find and access these objects?

A common workflow in R is calling a main function to do an analysis, and call ...

Many thanks for the examples! I will try them in my modules.

-- Shu Fai

By default, some references are added to the output. I like this feature because they can help users want to read to understand more about the results.

Is there any way for a module to add more references this way? Should we do this through the Results element?

-- Shu Fai

I did not notice that there must be a check box for it to work. It works now! Many many thanks!

-- Shu Fai

This is the test repo:

https://github.com/sfcheung/jmvtest

This is how the output is set up:

https://github.com/sfcheung/jmvtest/blob/69136adc151b08361909b67e8f96c116b9c3372b/jamovi/hatvalues.r.yaml#L33-L41

This is my attempt to save the variable:

https://github.com/sfcheung/jmvtest/blob ...

I tried to understand how to add variables but failed, for now.

This is what I added in *.r.yaml:

- name: hv
type: Output
title: Leverage
varTitle: Leverage
varDescription: Leverage
measureType: continuous
clearWith:
- dv
- iv

This is what I tried in the .run function, used "0s" just ...

Sorry for the confusion caused. By hat values I meant the values of leverage reported in SPSS or hatvalues() in the stats package (previously in the car package, if I recall correctly). This is an example:

set.seed(487053)
n <- 100
x <- rnorm(n)
y <- .6 * x + rnorm(n, 0, sqrt(1 - .6^2))
fit <- lm ...

Thanks a lot for your prompt reply! I will take a look and learn how it works.

-- Shu Fai

Please pardon me for asking a naive question. I believe this is a basic task in writing module. However, I tried searching the forum but my search was rejected, saying that my search terms are too common.

When writing a module, how can we add new variables to the data set, like Linear Regression ...

According to this post:

https://blog.jamovi.org/2017/09/25/medmod.html

medmod uses lavaan to fit a model. I am not sure about the settings it uses for lavaan. If it uses the default options, then maximum likelihood is used as the estimation method. The results can be slightly different from those ...