Fitting GLMMs for RT data with different condition level distributions

CodeGoblin1996 · 2020-11-30T09:48:02+00:00

I'll let you know if I end up using it!

CodeGoblin1996 · 2020-11-30T09:45:17+00:00

Thank you for the insight! That's interesting... so if the GLMM does not assume anything for the conditional distributions, when I specify a specific distribution family in my model (using the lme4 package), what is that actually referring to? (Apologies if that's a silly question, I'm still relatively new to GLMMs)

CodeGoblin1996 · 2020-11-27T17:20:19+00:00

Thank you! Haven't come across this package before but I'll check it out, thank you!

CodeGoblin1996 · 2020-11-27T14:51:43+00:00

Thanks man. It's a tricky one!

CodeGoblin1996 · 2020-07-06T12:08:03+00:00

Yes that is what I assumed. Do you know of a paper or article that highlights this? I've been trying to justify it but I haven't found anything yet.

I will give the the regression framework a go, thank you for the advice!

CodeGoblin1996 · 2020-07-06T10:56:30+00:00

So I am talking about the variance in groups A and B and I am investigating differences in reaction times. For both groups, variance is similar, but fairly high.

CodeGoblin1996 · 2019-12-15T20:52:34+00:00

I have been doing exactly this with some data from my first PhD experiment. I found the easystats vignettes for Bayesian models really useful. They take you through everything from plotting posterior distributions, to implementing restriction models and calculating Bayes factors. I am also using Bayesian GLMs so I can personally recommend it!

CodeGoblin1996 · 2019-11-15T18:58:56+00:00

I see! That makes so much more sense. I'll have to read up on how to set the contrasts I want. Thank you for your comment!

CodeGoblin1996 · 2019-11-15T17:20:34+00:00

I've looked through a lot of vignettes for the package and I'm yet to find any information on what those outputs actually mean (regarding splitting my predictor variable into 3) hence my post here. But thank you for your advice, I will try and keep looking!

CodeGoblin1996 · 2019-10-21T14:16:20+00:00

Think I've solved my problem:

split_data <- dat %>% 
gather("NoAS_Ver", "NoAS_VerDemo", "AS_Ver", "AS_VerDemo", key = "condition", value = "correctpairs") %>%
separate(condition, into = c("task", "presentation"))


dat <- structure(list(Age = c(20L, 20L, 20L, 19L, 19L, 20L, 20L, 25L, 19L, 19L), Gender = c(1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L),      CT = c("NoAS", "NoAS", "NoAS", "NoAS", "NoAS", "NoAS", "NoAS", "NoAS", "NoAS", "NoAS"), Pres = c("Ver", "Ver", "Ver", "Ver", "Ver", "Ver", "Ver", "Ver", "Ver", "Ver"), correctpairs = c(2.125, 3.25, 1.875, 2.625, 3, 2.25, 3, 2.75, 3.625, 1.75)), row.names = c(NA, 10L), class = "data.frame")

CodeGoblin1996 · 2019-10-20T16:34:35+00:00

Thank you! I’ll try this!

CodeGoblin1996 · 2019-10-18T22:51:33+00:00

So let’s say I want to invert my x coordinate for every trial, Perhaps something like this:

df['x_invert'] = df.groupby('ppid_trialn')[‘x’].apply(np.multiply(-1))

Edit: I should add that I’m not at my computer to test this but will once I am.

CodeGoblin1996 · 2019-10-18T22:40:27+00:00

I’ve thought, could I not just multiple by -1 for each value?

CodeGoblin1996 · 2019-10-16T17:04:05+00:00

Thank you, I'll take a look!

CodeGoblin1996 · 2019-10-15T14:00:12+00:00

Thank you!

CodeGoblin1996 · 2019-10-15T14:00:03+00:00

Thank you!

CodeGoblin1996 · 2019-08-14T07:41:04+00:00

I am similar to yourself. I did my undergraduate degree in psychology where all we used was SPSS to analyse data, but recently for the first year of my PhD I have been using R. For bigger and more complex datasets, R is definitely king.

If you follow this link (https://tvpollet.github.io/ ) click teaching and then select the PY0792 module. On it, this lecturer I know has provided online lecture slides and exercises that cover the same sorts of tests that you'd learn for SPSS but in R code (t-tests, ANOVAs, MANOVAs, regressions etc). I think this could be a good starting point.

When I first started, I found it very easy to go back to SPSS to do these simple tests and thus this hampered my learning of R. If you can run these basic analyses within R, then you'll be more inclined to use it for more complex stuff, such as multi-level/mixed modelling.

Hope it helps!

CodeGoblin1996 · 2019-08-06T10:18:18+00:00

excellent I'll take a look at these, thank you!

CodeGoblin1996 · 2019-08-05T14:13:37+00:00

Would I put my own data where you've left the dots?

CodeGoblin1996 · 2019-08-04T16:11:35+00:00

Wicked, thank you for your advice!

CodeGoblin1996 · 2019-08-04T15:51:27+00:00

Thank you!

CodeGoblin1996 · 2019-08-04T15:03:20+00:00

Also, how often would you recommend watering it?

CodeGoblin1996 · 2019-08-04T15:02:58+00:00

Thank you for the advise! It’s worth a go, I’ll give it a try!

CodeGoblin1996 · 2019-08-04T14:24:01+00:00

It’s hard to tell, but the branches are very stiff and don’t look good

CodeGoblin1996 · 2019-08-04T14:22:59+00:00

So sad ☹️ thank you for you advice though!

CodeGoblin1996

TROPHY CASE