Re: [R] fixed set.seed + kmeans output disagree on distinct platforms

I have no clue, but I did note that you are using different versions of BLAS/LAPACK on the different platforms. Could that be (part) of the issue? Cheers, Bert On Tue, Sep 3, 2024 at 10:24 PM Iago Giné Vázquez wrote: > Hi all, > > I build a dataset processing in the same way the same data in Wi

[R] fixed set.seed + kmeans output disagree on distinct platforms

Hi all, I build a dataset processing in the same way the same data in Windows than in Linux. The output of Windows processing is: https://gitlab.com/iagogv/repdata/-/raw/main/exdata.csv?ref_type=heads The output of Linux processing is: https://gitlab.com/iagogv/repdata/-/raw/main/exdata2.csv?r

[R] How R calculates SE of prediction for Logistic regression?

Hi, I have below logistic regression Dat = read.csv('https://raw.githubusercontent.com/sam16tyagi/Machine-Learning-techniques-in-python/master/logistic%20regression%20dataset-Social_Network_Ads.csv') head(Dat) Model = glm(Purchased ~ Gender, data = Dat, family = binomial()) How I can get Standar

[R] Goodreader: Scrape and Analyze 'Goodreads' Book Data

Dear R Users, I am pleased to announce that Goodreader 0.1.1 is now available on CRAN. Goodreader offers a toolkit for scraping and analyzing book data from Goodreads. Users can search for books, scrape detailed information and reviews, perform sentiment analysis on reviews, and conduct topic mod