Quantile regression and visualizing the estimates in 3D plots in R

In this video, I presented quantile regression in a loop and visualized the coefficients using 3d interactive plots
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[aamirjavedvlogs]

Thank you so much Sir for this informative video

[StatisticsGlobe]

Thanks a lot for this very informative and detailed video. Keep on going! :) Regards, Joachim

[jayagupta]

this video is only for quantile regression and not for quantile-on-quantile regression ?

[veereshkumar]

I keep getting the "Error in rq.fit.br(wx, wy, tau = tau, ...) : Singular design matrix" error with the same program. Tried with two different datasets but the error persists, any idea what might be causing it or how to rectify it?

[heshamamin]

Overall effects of categorical variables

I am doing quantile regression in R ; the dependent variable is a count variable and I have categorical predictors. Some of the categorical variables with 4 levels, in the parameter estimates table I get results for the 3 levels of the categorical variable compared to the level I have set as the reference.


How to get the overall effects of categorical variables for quantile regression model. In multiple linear regression it is possible to get the overall effect by function “anova(model)”. When I perform the same function with a quantile regression model did not give same output.

[mikiallen]

but what If I want to check which factors out of many provided say in a dataset affect the 60th quantile the most at let say 95 confidence level plus visualising it ?

[ranaijaz]

really nice video, Where can we find this data and R code? Can you please share it with us? We want to do a practicle. Thanks

[nirupammukhopadhyay]

Thanks man this video is very helpful. Can you please share your codes. It will be very helpful for me. Thank you.

[craftbondpro]

Really useful information and well explained. Perhaps some of the length of the video could be cut down by a little more editing. It's quite daunting to have to spend 40 minutes on the topic when most of the core information takes you much less to explain. Really well done otherwise! Thank you!