MSstatsPrepareForSummarization {MSstats} | R Documentation |
Prepare feature-level data for protein-level summarization
MSstatsPrepareForSummarization( input, method, impute, censored_symbol, remove_uninformative_feature_outlier )
input |
feature-level data processed by dataProcess subfunctions |
method |
summarization method - 'summaryMethod' parameter of the dataProcess function |
impute |
if TRUE, censored missing values will be imputed - 'MBimpute' parameter of the dataProcess function |
censored_symbol |
censored missing value indicator - 'censoredInt' parameter of the dataProcess function |
remove_uninformative_feature_outlier |
if TRUE, features labeled as outlier of uninformative by the MSstatsSelectFeatures function will not be used in summarization |
data.table
raw = DDARawData method = "TMP" cens = "NA" impute = TRUE MSstatsConvert::MSstatsLogsSettings(FALSE) input = MSstatsPrepareForDataProcess(raw, 2, NULL) head(input)