Thanks very much, your illustrations are very clear.
@srensommer3434
2 жыл бұрын
And also,you are sharing music theme with It's allways sunny in Philadelphia - Also brings a smile..
@dewidinevandercolff3999
Жыл бұрын
You make these things cool! Thanks! I am subscribing!
@andriismykovskyi2999
2 жыл бұрын
Hi Dustin. Thanks for your videos, they greatly develop the intuition behind Mixed Models and you also make me laugh sometimes :) . I am using flexplot 0.13.3 Even though I execute exactly the same lines of code as you in the video: baseline
@hm.91
2 жыл бұрын
Thanks for this superb video! I'm using the same data from the flexplot package and running the same code of the video, but unfortunately the visualize function returns for any model (that I copied based on your script): Error in if (preds[i] != term.re) { : argument is of length zero Why could that be? Thanks!
@teslanova
2 жыл бұрын
I had the same problem - turns out its if you've already loaded lmerTest into your library before you run the lmer function to build the models with lme4, it'll return this error. I fixed by just either 1. detaching the lmerTest package until later in the script when its needed or 2. telling r that you want to use the lmer function from lme4 specifically, lme4::lmer(...). From what I can gather the lmerTest overlays the {lme4} lmer function which causes that specific error. Hope that helps.
@Pmonfrost
Жыл бұрын
Thanks!
@FilippoGianburrasca
7 ай бұрын
3:54 "we want to fit a fixed slope as well as a random slope" should be "we want to fit a fixed intercept as well as a random intercept", right?
@annawassel1247
2 жыл бұрын
Hmm I'm running this on my personal data, but when I visualize my baseline model (lmer(responsevariable~1+(1|cluster), data= my data), my red line is labeled "object (lmerMod)" instead of fixed effect and the random effects line is missing. Any idea what's causing this? My data set is much smaller than this example set. Could that be it?
@MegaSesamStrasse
2 жыл бұрын
what would a random effect of the variable minority mean? and why wasn't it tested?
@mingjingchen1238
2 жыл бұрын
Thank you for your awesome videos and packages! You are lifesavers and all concepts are clearly explained. But when I tried to rerun the code "visualize(baseline,plot = "model"), there is an error: `_inherit` must be a ggproto object. I am not sure why, thank you for your help!
@QuantPsych
2 жыл бұрын
what version of flexplot are you using? Also, maybe show me the code where you create baseline.
@mingjingchen1238
2 жыл бұрын
@@QuantPsych I am using flexplot (0.11.3), and I used the same code as yours for baseline: baseline=lmer(MathAch~1+(1|School), data = math), error:`_inherit` must be a ggproto object., is it because I used the previous version of flexplot? Except for visualizing baseline, other functions of flexplot work perfect. Thank you for your prompt response. :)
@mingjingchen1238
2 жыл бұрын
Today I tried my flexplot again and it works now! Thank you for developing such a wonderful package!
@brazilfootball
Жыл бұрын
What does an $icc output of "[1] 1, $design.effect [1] 13.42553" mean?
@alsayer8726
Жыл бұрын
Hey, Thanks very much for the great explanation. Unfortunately, visualize argument does not work, I followed and used the same code you explained, but the argument shows this error "Error in match.arg(plot, c("all", "residuals", "model")) : 'arg' should be one of “all”, “residuals”, “model”". Any solution?
@annaferrusolapastrana2516
3 жыл бұрын
When I load flexplot it says: Warning in install.packages : package ‘flexplot’ is not available (for R version 4.0.0)
@QuantPsych
3 жыл бұрын
I'd post an issue on github (github.com/dustinfife/flexplot)
@izzthewizz6
2 жыл бұрын
Hey Dustin, I've been trying to plot the baseline model using flexplot::visualize and keep getting this error: Error in if (preds[i] != term.re) { : argument is of length zero The model and ICC run fine, I just cant get visualize to work. Dustin or anyone who knows what to do, your help would be appreciated.
@Jonathan-zd6ns
2 жыл бұрын
Dear professor, can I ask how to show p value for the beta coefficient in summary functions??? Thanks !!!
@tatjanajak
3 жыл бұрын
The command "visualize(baseline, clusters=3)" generates: Error in compare.fits(formula, data = k, model1 = object, model2 = object, : formal argument "clusters" matched by multiple actual arguments. My baseline is a result of lmer function (i.e. baseline=lmer(data=data.it, y~1+(1|subject)). The visualize function produced same error for various values of cluster. When I omit the cluster, I get the graphic.
@QuantPsych
3 жыл бұрын
Well dang. I'll make a note to investigate this.
@morriskrainz3997
2 жыл бұрын
Hi there, thanks for the great videos, they are super helpful! I am currently trying to interpret model fits of fixed and random slopes models and am a bit confused regarding R-squared-change: > model.comparison(intensity_model_predicted, intensity_model_predicted_RS) refitting model(s) with ML (instead of REML) $statistics aic; bic; bayes.factor; p intensity_model_predicted 1146.993; 1161.407; 1851.166; 0.097 intensity_model_predicted_RS 1147.626; 1176.454; 0.001 $predicted_differences 0% 25% 50% 75% 100% 0.012 0.898 2.407 4.703 25.677 $r_squared_change (Intercept) Residual -0.3032796 -0.6475945 From the $statistics output, I'd conclude that the model in the upper row (fixed effects model) probably explains the data much more accurately than the random slopes model (lower aic, bic, and very high bayes factor) BUT then when I look at $r_squared_change it seems like the random slopes model explains much more variance (since the R^2 change is a negative number)? Is that the correct interpretation or have I got something wrong here?
@luismiguelloperaparra5994
3 жыл бұрын
Hi. I have clusters built yearly for twenty years. I want do get measures of variabulity ínter cluster and intra cluster but I dont know how to theoretically document my procedure. How can I?
@rutgervanbasten2159
Жыл бұрын
Hi! , you conclude that SES needs to be included as a FIXED effect (hence a fixed slope ). Then you add minority to the model/ However, in the model "minority" you have added SES to have a random intercept and slope per school (SES | school) . Shouldt you add have the model to be minority_fixed
@srishtitripathi8543
3 жыл бұрын
Thank you for your nice videos. Where can I get the data set you are using in this video?
@QuantPsych
3 жыл бұрын
It's embedded in the flexplot package.
@francescamalcangi8221
2 жыл бұрын
which version of R do you have, because mine doesn't install flexpot package
@QuantPsych
2 жыл бұрын
Are you installing through github? install.packages("devtools") devtools::install_github("dustinfife/flexplot")
@bumblebee7597
Жыл бұрын
How can we take classes with you?
@zimmejoc
Жыл бұрын
he just posted a new vid a couple days ago where you can take a class with him in the near future.
@bumblebee7597
Жыл бұрын
@@zimmejoc thank you so much!
@AmanzholBekmagambetov
2 жыл бұрын
Hello. On 14.35, did you mean to say that school doesn't have any NON-minorities?
@QuantPsych
2 жыл бұрын
Yes. Good catch!
@bumblebee7597
Жыл бұрын
Great explanation! However I'm sure the minority kids in the dataset didn't include indian American kids! 😂
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