getVerifiedNormalyzerObject: Verify that input data is in correct format, and if so,...

Description Usage Arguments Value Examples

View source: R/inputVerification.R

Description

This function performs a number of checks on the input data and provides informative error messages if the data isn't fulfilling the required format. Checks include verifying that the design matrix matches to the data matrix, that the data matrix contains valid numbers and that samples have enough values for analysis

Usage

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getVerifiedNormalyzerObject(jobName, summarizedExp, threshold = 15,
  omitSamples = FALSE, requireReplicates = TRUE, quiet = FALSE,
  noLogTransform = FALSE, tinyRunThres = 50)

Arguments

jobName

Name of ongoing run.

summarizedExp

Summarized experiment input object

threshold

Minimum number of features.

omitSamples

Automatically omit invalid samples from analysis.

requireReplicates

Require there to be at least to samples per condition

quiet

Don't print output messages during processing

noLogTransform

Don't log-transform the provided data

tinyRunThres

If less features in run, a limited run is performed

Value

Normalyzer data object representing verified input data.

Examples

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NormalyzerDE documentation built on Nov. 8, 2020, 8:22 p.m.