Heyo!

I have so much stuff backlogged to blog about – especially that we are working on fully integrating to OSF and putting up preprints of the cool work we are doing! But this blog post is reserved for HOW EXCITED I AM to announce that MOTE is ready to go to import into R. Run this code in your R:

install.packages(“devtools”) ##only needed if you do not have it yet

devtools::install_github(“doomlab/MOTE”)

Remember that “” sometimes does not copy correctly into R. Go nuts! Ask questions! Give feedback! One thing I did not talk about in the video is a limitation of V in chi-square. Due to the distribution of chi-square, V confidence intervals are only useful on smaller r x c combinations (like 2X2, 3×3). After you hit about 4 rows/columns, the distribution flattens out, and the calculated confidence interval is not around the V value. For example, a X2 of 14 with sample size 100, with four rows and columns gives you:

v.chi.sq(x2 = 14, n = 100,r = 4, c = 4, a = .05)

$v

[1] 0.6480741$vlow

[1] 0.1732051$vhigh

[1] 0.3241347$n

[1] 100$df

[1] 9$x2

[1] 14$p

[1] 0.1223252Warning message:

The size of the effect combined with the degrees of freedom is too small to determine a lower confidence limit for the ‘alpha.lower’ (or the (1/2)(1-‘conf.level’) symmetric) value specified (set to zero).

As you can see, this is a limitation of confidence intervals on chi-square. Also, I found more typos :|.

Go check out github:

https://github.com/doomlab/MOTE

Go check out the video on how to install and the history of MOTE: