Search found 12 matches
- Wed Aug 27, 2025 4:44 pm
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
So I have to check the code in detail. It will take some time. Hi, whilst you are checking and improving this module for what I am very grateful, could you please (if possible) attach improved version(s) as you go forward with this, so we can test it after installation via sideload. Thank you. Best...
- Mon Aug 04, 2025 7:54 pm
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
@sbalci,
This is absolutely fantastic, that upgraded version finally works on win 11. Exactly what I wanted with even a choice of
p-value correction methods available. Great stuff, thank you very much indeed.
This is absolutely fantastic, that upgraded version finally works on win 11. Exactly what I wanted with even a choice of
p-value correction methods available. Great stuff, thank you very much indeed.
- Sat Aug 02, 2025 10:31 am
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
Can you please share your screenshot how does this working S. Balci's module window look like ?
I have a data like below, is it going to calculate those post-hoc tests showing the differences ?
I have a data like below, is it going to calculate those post-hoc tests showing the differences ?
- Sat Aug 02, 2025 10:11 am
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
As it showes on the screenshots above I use 2.7.3 version.
- Sat Aug 02, 2025 9:53 am
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
Here you are, please have a look.
- Sat Aug 02, 2025 9:36 am
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
I do not have ExplorationT under analyses menu. After installation it says: modelue installed successfully.
- Sat Aug 02, 2025 8:14 am
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
My apologies for asking again but could you please elaborate a bit more how to use your test module ? I installed it as instructed, but can't find it. I do not have ClinicoPath module in main menu. I am on Jamovi v. 2.7.3. I have ClinicoPath under Exploration in spite of ticking "Show in main m...
- Fri Aug 01, 2025 8:02 pm
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
Hi @sbalci,
What can I do with your code/files ?
How to run it ?
What can I do with your code/files ?
How to run it ?
- Fri Jul 04, 2025 1:14 pm
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
Much obliged, thank you @Maurizio,
best wishes,
Andrzej
best wishes,
Andrzej
- Wed Jul 02, 2025 6:58 pm
- Forum: Statistics
- Topic: Chi square post hoc tests and correction for multiple testing
- Replies: 28
- Views: 204643
Re: Chi square post hoc tests and correction for multiple testing
Thank you Both very much Maurizio/@MAgojam and @reason180. # Data setup library(tidyverse) residuals <- data.frame( Ethnicity = c("Malay", "Chinese", "Indian"), A = c(-1.0612, -2.0538, 2.9438), B = c(-0.47996, 0.047839, 0.40734), C = c(1.233, 1.8845, -2.9457) ) # p-valu...