วีดีโอ

Please take a scenario and explain.

Hi Ian, Thank you very much for this video! I managed to apply the same code to my data after a lot of searching! However, when I include categorical IVs I get the following error: "argumento não-numérico para operador binário". I'm not sure why that error is in Portuguese while everything else is in English, but it translates as "non-numeric argument for a binary operator". Would you know anything about that? Thank you!

Is it possible to get your script?

Dear Sir, I'm trying to run this program but I get this error message SimReg1 <- function(mod.input=lmx){ a=coef(mod.input)[1] b=coef(mod.input)[2] c=coef(mod.input)[3] d=coef(mod.input)[4] rse=summary(mod.input)$sigma y.sim <- rnorm(n=length(x),mean=a+b*x+c*x^2+d*x^3,sd=rse)$sigma lm.sim <- lm(y.sim~x) coef(lm.sim) } SimReg1() ``` Can you tell me how to solve this? I want to built confidence intervals for an adjuted polynomial curve

thank you so much for wonderful and easy to understand presentation, however, this is not for uncertainty purpose then would you like to enlighten how to do that, please?

Is there a way to find those script

Very helpful using different approaches and comparisons

Thank you

Great teacher

Hi, I need help please, I required for car pacadge, but the abswer was that there is no package , what should I d plz?

When i was doing the regression by the bootstrap method I had a big difference in some variables compared to the normal regression that may be due ?

Judging by your views, not so many people take States to this far

thanks so much for the videos and data, this help me a lot

Thanks a lot for your explanation.

Thanks! your video has been very useful but can you also guide me on how to introduce local minima and maxima for the input and output variable in the code.

hello I wonder we can find the answer you posted for the exrecise.

This is super helpful teaching!! Thank you very much!!

Loading required package: MCMCpack Warning message: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘MCMCpack’

Hi, That is a nice video, i have a question. How do I interepete the results? Thanks

Thank you! It's super clear!

It would be better if you put a link for part-1 under description

Please how can simulate a non homogeneous poisson process in r

Very helpful!

Thank you this was very helpful. How would you change the code for a small categorical variable (i.e., 0 = healthy, 1 = diagnosed disease) with only a small amount of confirmed diagnosed (i.e., 1s)? For example: There are 2000 participants and only 50 cases of cancer, 1500 healthy, and 450NAs.

thanks for sharing the skill, its very useful for my work^^

Hi Ian! Thank you for this tutorial. I have one question: when you generate y from rnorm with mean = a+b*covarite, is this mean a single number?

Please I am trying to follow the bootstrap analysis. How can I get access to the data you used for the bootstrap estimate for confidence interval for the regression coefficients

Thanks Ian. I is so great to approach your video as I am begin to learn how to use bootstrap for my biodiversity analysis. I would like to follow your video and practice this then I hope I can apply this to my study. Could you help my to get your R script and data for this video? Thanks. My email is vychim@yahoo.com

Its very helpful. But where can I get the R-script of your programme?

Thank you very much. I learned a lot from your video.

Happy to watch as it is started from the very beginning. Thank you so much.

Fua sandra

Thanks for posting these videos! Just a quick comment regarding the variables at 1:00. I tried the example in Python and z didn't auto-update either there, when I changed x. When I re-assigned z = x + y ,then the new value of x was taken into account and z updated.

How to simulate seasonal data manually without arima package?

Could you kindly upload your code.

i've been working with the data in matrix format. This program seems to rely on data frames ...any suggestions?

Thank you Ian for your time on showing this to us.

Hello Ian, may I have the command or any other supporting documents to run Bayesian spatiotemporal analysis for count data, please?

Hello Ian, do you know any packages in RStudio that would enable me to perform a laplace mle fit on some data and then plot the fitted line along with the empirical data?

Brilliant thank you!

Thank you sooooo much!!!!!!

Thank you for this tutorial series! This has helped a lot!

what an awesome program, and easy to follow beginner's tutorial! I was fortunate enough to have stumbled upon this right after I learned how to use TPS programs. I had all of my landmark data ready to go and was able to follow these three videos to analyze the shape differences between male and female Chinook Salmon, as well as other fishes in our system; improving data analysis/fish identification techniques. Hopefully phylogeny of Trout next (?).... more tutorials please!!!!

Really helpful. Thanks

boring talk

Thank you! These videos are very helpful. If you also watch the videos in order like me, be aware that the previous videos of this one are "Using Monte Carlo simulations to generate confidence intervals in R" and its part 2.

This video literally just saved my ass with my assignment, thank you!

MorphoJ can set up for window

Thanks also! Any chance you could share the script file?

what does it mean when a vector is used as mean instead of single value in rnorm?