MSstatsSummarizeSingleLinear {MSstats} | R Documentation

## Linear model-based summarization for a single protein

### Description

Linear model-based summarization for a single protein

### Usage

    MSstatsSummarizeSingleLinear(single_protein, equal_variances = TRUE)

### Arguments

`single_protein` | feature-level data for a single protein
`equal_variances` | if TRUE, observation are assumed to be homoskedastic

### Value

list with protein-level data

### Examples

    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]])

[Package MSstats version 4.0.1 Index]