MSstatsSummarizeSingleLinear {MSstats} | R Documentation |
Linear model-based summarization for a single protein
MSstatsSummarizeSingleLinear(single_protein, equal_variances = TRUE)
single_protein |
feature-level data for a single protein |
equal_variances |
if TRUE, observation are assumed to be homoskedastic |
list with protein-level data
raw = DDARawData method = "linear" cens = NULL impute = FALSE # currently, MSstats only supports MBimpute = FALSE for linear summarization MSstatsConvert::MSstatsLogsSettings(FALSE) input = MSstatsPrepareForDataProcess(raw, 2, NULL) input = MSstatsNormalize(input, "EQUALIZEMEDIANS") input = MSstatsMergeFractions(input) input = MSstatsHandleMissing(input, "TMP", TRUE, "NA", 0.999) input = MSstatsSelectFeatures(input, "all") input = MSstatsPrepareForSummarization(input, method, impute, cens, FALSE) input_split = split(input, input$PROTEIN) single_protein_summary = MSstatsSummarizeSingleLinear(input_split[[1]]) head(single_protein_summary[[1]])