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I am trying to work on a for loop to make running a function I've developed more efficient. However, when I put it in a for loop, it is overwriting columns that it should not be and returning incorrect results.

Edit: The error is that in the resulting dataframe MiSeq_Bord_Outliers_table0, the resulting columns containing label Outlier_type is returning incorrect outputs.
As per the Outlier_Hunter function, when Avg_Trim_Cov and S2_Total_Read_Pairs_Processed are below their respective Q1 Thresholds their respective Outlier_type columns should read "Lower_Outlier", if between Q1 & Q3 Threshold, "Normal" and if above Q3 Threshold then "Upper_outlier". But when the for loop is executed, only "Upper_outlier" is shown in the Outlier_type columns.

Edit: The inputs have been simplified and tested on the different computer with a clean console. If there were any artifacts there before, they should have been eliminated now, and there should be no errors here now. It is important to run the outlier_results_1var part first. If you test run this code and get errors, please let me know which part failed.

Edit: MiSeq_Bord_Outliers_table0_error is the error that is being reproduced. This is the error result, not an input.

Can someone please tell me why is it returning these incorrect results and what I can do to fix it? I will upload the relevant code below. Or is there another way to do this without a for loop?