Perform a Bootstrap Analysis with the following data set?

[graoscarg (Oscar Rodriguez)]

Hello everyone. I was trying to understand the Bootstrap Analysis, so I found this example made in R: Make a difference: the alternative for p-values. Then, I try to replicate the analysis using the Mathematica method described here: How to | Perform a Bootstrap Analysis. But I was unable to replicate the R results, I would like to know if I am doing something wrong.

In the R post they used a data set, that you can find here: Material related to the blog “Quantification - rather than identification - of differences: An alternative for p-values”. First they plot the data set, I did the same:

.

But when I create the Bootstrap, the distribution look completely different:

even when I did the subtraction:

The analysis did not agree either. According to the post the confidence interval should be {27, 439}, but for the same condition I get {0.171788, 1.38594}. The other interval is {-350, 35}, but I get {0.335334, 1.95191}.

So I would like to know if I am doing something wrong in my analysis. Thank you very much.

I going to let the note book and the original data set

Area_in_um-GEFs.csv (2.55 KB)
primer analisis boot.nb (123 KB)

[ronsmith150 (Ronald Smith)]

Hi Oscar,
I also wanted to bootstrap data using Mathematica and to be confidant about my results. Once I was happy about the methodology, I was able to get good agreement with test results I had obtained using Excel.
As a further test I tried replicating the results referenced in your post ‘Make a difference: the alternative for p-values’. I managed to get good agreement with the Bootstrapped Medians, the differences between the Medians and the Confidence Intervals.
As far as I can see, the reason for you not not getting agreement and for your charts looking very different is that instead of Bootstrapping the Medians you have Bootstrapped Skewness.
Ronald Smith