Description Usage Arguments Examples
View source: R/Timecourse-NONE.R
This function handles (1) normalizing the Time-course metabolomic data without QCSs and ISs using 168 methods/strategies, (2) evaluating the normalization performances from multiple perspectives, and (3) enabling the systematic comparison among all methods/strategies based on a comprehensive performance ranking.
1 | nortimecoursenoall(fileNameC, impt = NULL, trsf = NULL)
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fileNameC |
Please find the detail information of the file format from those six sample files in the working directory (in github) “idrblab/METNOR/data” |
impt |
Input the name of imputation methods. If set 1, method of column mean imputation. If set 2, method of column median imputation. If set 3, method of half of the minimum positive value. If set 4, method of KNN imputation. |
trsf |
Input the name of transformation methods. If set 1, method of cube root transformation. If set 2, method of log transformation. If set 3, none transformation method. |
1 | allranks_non <- nortimecoursenoall(fileNameC = timec_non_data, impt = "1", trsf = "1")
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