MSstatsPrepareForSummarization {MSstats} | R Documentation

## Prepare feature-level data for protein-level summarization

### Description

Prepare feature-level data for protein-level summarization

### Usage

    MSstatsPrepareForSummarization(
      input,
      method,
      impute,
      censored_symbol,
      remove_uninformative_feature_outlier
    )

### Arguments

`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

### Value

data.table

### Examples

    raw = DDARawData
    method = "TMP"
    cens = "NA"
    impute = TRUE
    MSstatsConvert::MSstatsLogsSettings(FALSE)
    input = MSstatsPrepareForDataProcess(raw, 2, NULL)
    head(input)

[Package MSstats version 4.0.1 Index]