function_needed column

[martinig]

1. t_method1: sample size for each group; must have df (typically n-2)
2. t_method2: sample size overall only; must have df (typically n-2)
3. count_method: when there is the mean, but no error; sample size for each group
4. mean_method: mean and sd; sample size for each group
5. F_method1: sample size for each group (chi-square here too)
6. F_method2: sample size overall only
7. percent_method1: no error around percentage; sample size for each group
8. percent_method2: percentage has error; sample size for each group
9. proportion_method1: no error around proportion; sample size for each group
10. proportion_method2: proportion has error (if error is 0 for 1 of the groups, use proportion_method1); sample size for each group
11. correlation_method1: pearson's correlation or unspecified correlation type
12. correlation_method2: spearman rank correlation
13. p_method1: sample size for each group must have direction
14. p_method2: sample size overall only must have direction
15. estimate_method1: sample size for each group; linear regression with estimate and SE
16. estimate_method2: sample size overall only; linear regression with estimate and SE

[itchyshin]

I think this is done - we now have a wrapper function called effect_size

https://github.com/martinig/Fitness-and-dispersal-MA/blob/main/R/effect_size.R

[martinig]

I will keep this open so I can find this issue more easily