clean_dt | R Documentation |
Internal function, that checks the formatting of imported files and prepares them to be applicable for the following pcr-bias correction steps.
clean_dt(datatable, description, type, logfilename)
datatable |
A data.table object that contains either the experimental data or the calibration data. |
description |
A character string, indicating if |
type |
A single integer. Type of data to be corrected: either "1" (one locus in many samples, e.g. pyrosequencing data) or "2" (many loci in one sample, e.g. next-generation sequencing data or microarray data). |
logfilename |
A character string. Path to the logfile to save the log messages. |
If a valid file is provided, the function returns a cleaned data.table, suited for BiasCorrection.
logfilename <- paste0(tempdir(), "/log.txt") cleaned_experimental <- clean_dt( datatable = rBiasCorrection::example.data_experimental$dat, description = "experimental", type = 1, logfilename = logfilename ) dim(cleaned_experimental) class(cleaned_experimental)
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