valid_annotation_keys: Valid annotation keys

In dccvalidator: Metadata Validation for Data Coordinating Centers

Description

Checks for and returns the valid annotation keys in a data framae, Synapse file, or Synapse file view.

Usage

valid_annotation_keys(x, annotations, ...)

## S3 method for class ''NULL''
valid_annotation_keys(x, annotations, ...)

## S3 method for class 'synapseclient.entity.File'
valid_annotation_keys(x, annotations, syn, ...)

## S3 method for class 'data.frame'
valid_annotation_keys(x, annotations, ...)

## S3 method for class 'synapseclient.table.CsvFileTable'
valid_annotation_keys(x, annotations, ...)

Arguments

x	An object to check.
annotations	A data frame of annotation definitions. Must contain at least three columns: key, value, and columnType.
...	Additional parameters passed to check_keys()
syn	Synapse client object

Value

A vector of valid annotation keys present in x.

Methods (by class)

• NULL: Return NULL

• synapseclient.entity.File: Valid annotation keys on a Synapse file

• data.frame: Valid annotation keys in a data frame

• synapseclient.table.CsvFileTable: Valid annotation keys in a Synapse table

Examples

annots <- data.frame(
  key = c("assay", "fileFormat", "fileFormat", "fileFormat", "species"),
  value = c("rnaSeq", "fastq", "txt", "csv", "Human"),
  columnType = c("STRING", "STRING", "STRING", "STRING", "STRING")
)
dat1 <- data.frame(x = 1)
dat2 <- data.frame(assay = "rnaSeq")
valid_annotation_keys(dat1, annots)
valid_annotation_keys(dat2, annots)

dccvalidator documentation built on July 2, 2020, 4:05 a.m.