I have a dataset where every data sample consists of 10-20 2D coordinates points. The data is mostly clean but occasionally there are falsely annotated points. For illustration the cleany annotated da...

I have found this function and I would like to adapt it to replace outliers with NA instead of removing the observation. I have tried to add <-NA in this line data <- data[!outliers(data[[col]])...

I'm currently trying to understand the Local Outlier Factor algorithm and stumbled upon this article: https://towardsdatascience.com/local-outlier-factor-lof-algorithm-for-outlier-identification-8efb8...

I know there's a ton resources online for outlier removal, but I haven't yet managed to obtain what I exactly want, so posting here, I have an array (or DF) of 4 columns. Now I want to remove the rows...