MSstatsHandleMissing {MSstats} | R Documentation |
Handle censored missing values
MSstatsHandleMissing( input, summary_method, impute, missing_symbol, censored_cutoff )
input |
'data.table' in MSstats data format |
summary_method |
summarization method ('summaryMethod' parameter to 'dataProcess') |
impute |
if TRUE, missing values are supposed to be imputed ('MBimpute' parameter to 'dataProcess') |
missing_symbol |
'censoredInt' parameter to 'dataProcess' |
censored_cutoff |
'maxQuantileforCensored' parameter to 'dataProcess' |
data.table
raw = DDARawData method = "TMP" cens = "NA" impute = TRUE MSstatsConvert::MSstatsLogsSettings(FALSE) input = MSstatsPrepareForDataProcess(raw, 2, NULL) input = MSstatsNormalize(input, "EQUALIZEMEDIANS") input = MSstatsMergeFractions(input) input = MSstatsHandleMissing(input, "TMP", TRUE, "NA", 0.999) head(input)