sb_corr {structToolbox} | R Documentation

## sbcms

### Description

Signal/batch correction using SMCBMS package

### Usage

    sb_corr(
      order_col,
      batch_col,
      qc_col,
      smooth = 0,
      use_log = TRUE,
      min_qc = 4,
      qc_label = "QC",
      ...
    )

### Arguments

`order_col` | The sample-meta column containing the order of measurement.
`batch_col` | The sample_meta column containing the batch labels.
`qc_col` | The sample_meta column containing QC labels.
`smooth` | Spline smoothing parameter. Should be in the range 0 to 1. If set to 0 it will be estimated using leave-one-out cross-validation.
`use_log` | Perform the signal correction fit on the log scaled data. Default is TRUE.
`min_qc` | Minimum number of measured quality control (QC) samples required for signal correction within feature per batch. Default 4.
`qc_label` | The label used in `qc_col` to identify QC samples.
`...` | additional slots and values passed to struct_class

### Value

struct object

### Examples

    M = sb_corr(order_col='run_order',batch_col='batch_no',qc_col='class')

[Package structToolbox version 0.99.8 Index]