A Trio object

An object containing a dataset and methods for evaluating analytical tasks against ground truths for the dataset.

Value

A Trio object

Public fields

data

The data

evidence

The supporting evidence for the data

metrics

The metric for evaluating tasks against the gold standards

cachePath

The path to the data cache

dataSource

The data repository that the data were retrieved from

dataSourceID

The dataset ID for dataSource

evidenceSource

The data repository that the supporting evidence was retrieved from.

evidenceSourceID

The dataset ID for evidenceSource.

splitIndices

Indices for cross-validation

splitSeed

The seed used to generate the split indices

verbose

Set the verbosity of Trio. Defaults to FALSE.

description

A description of the dataset.

name

The name of the Trio object, as defined in Curated Trio Datasets.

Methods

Public methods

• Trio$new()

• Trio$addEvidence()

• Trio$addMetric()

• Trio$getMetrics()

• Trio$getEvidence()

• Trio$evaluate()

• Trio$split()

• Trio$print()

• Trio$writeCTD()

• Trio$clone()

---

Method new()

Create a Trio object

Usage

Trio$new(
  datasetID = NULL,
  data = NULL,
  dataLoader = NULL,
  evidenceID = NULL,
  evidence = NULL,
  evidenceColumns = NULL,
  evidenceLoader = NULL,
  task = NULL,
  metrics = NULL,
  cachePath = FALSE,
  verbose = FALSE
)

Arguments

datasetID

A string specifying a dataset, either a name from curated-trio-data or a format string of the form source:source_id.

data

An object to use as the Trio dataset.

dataLoader

A custom loading function that takes the path of a downloaded file and returns a single dataset, ready to be used in evaluation tasks.

evidenceID

If datasetID is not an ID from the curated trio datasets spreadsheet, then a format string of the form source:source_id indicating the file to obtain the supporting evidence from.

evidence

A named list of lists. The top-level list is named by task type. The lower-level list is of length-two and named "evidence" and "metrics". The "evidence" component has supporting evidence and the "metrics" component has a character vector of metric names (corresponding to the names of the list provided to the metrics parameter).

evidenceColumns

If evidenceID is not NULL, then the columns of the table containing the supporting evidence.

evidenceLoader

Alternative to evidence and evidenceColumns. Extract the evidence in a flexible way.

task

If evidenceColumns or evidenceLoader specified, a character vector of length 1 naming the task the evidence is for.

metrics

A named list of metric functions.

cachePath

The path to the data cache

verbose

Set the verbosity of Trio. Defaults to FALSE.

description

A description of the dataset.

---

Method addEvidence()

Add supporting evidence to the Trio.

Usage

Trio$addEvidence(name, evidence, metrics, args = NULL)

Arguments

name

A string specifying the name of the supporting evidence.

evidence

The supporting evidence. An object to be compared or a function to be run on the data.

metrics

A list of one or more metrics names used to compare gs with the input to evaluate.

args

A named list of parameters and values to be passed to the function.

---

Method addMetric()

Add a metric to the Trio.

Usage

Trio$addMetric(name, metric, args = NULL)

Arguments

name

A string specifying the name of the metric.

metric

The metric. A function to be run on the input to evaluate to compare it with the gold standard. Should be of the form f(x, y, ...). Where x is the "truth" and y is the output to be evaluated. Otherwise input a wrapper function of the desired metric.

args

A named list of parameters and values to be passed to the function.

---

Method getMetrics()

Get metrics by supporting evidence name.

Usage

Trio$getMetrics(evidenceName)

Arguments

evidenceName

A string specifying the name of the supporting evidence.

---

Method getEvidence()

Get supporting evidence by name.

Usage

Trio$getEvidence(name)

Arguments

name

A string specifying the name of the supporting evidence.

---

Method evaluate()

Evaluate against gold standards

Usage

Trio$evaluate(input)

Arguments

input

A named list of objects to be evaluated against gold standards.

---

Method split()

Create cross-validation indices.

Usage

Trio$split(
  y,
  n_fold = 5L,
  n_repeat = 1L,
  stratify = TRUE,
  seed = NULL,
  overwrite = FALSE,
  ...
)

Arguments

y

A variable to use for stratified sampling (e.g. supporting evidence). If stratify is false, a vector the length of the data.

n_fold

Number of folds. Defaults to 5L.

n_repeat

Number of repeats. Defaults to 1L.

stratify

If TRUE, uses stratified sampling. Defaults to TRUE.

seed

An optional seed for split generation. Defaults to NULL. If NULL, the seed is set to the current time.

overwrite

If TRUE, overwrites the current split. Defaults to FALSE.

...

Additional arguments passed to splitTools::create_folds.

---

Method print()

Print method to display key information about the Trio object.

Usage

Trio$print()

---

Method writeCTD()

Write the Trio Metadata to Curated Trio Datasets sheet.

Usage

Trio$writeCTD(
  name,
  email = NULL,
  githubPat = NULL,
  description = NULL,
  figshareUrl = NULL,
  datasetFileName = NULL,
  evidenceFileName = NULL,
  dataType = NULL,
  skipMd5Check = FALSE
)

Arguments

name

The name of the dataset to be added.

email

Required. Email address of the contributor for dataset update notifications.

githubPat

Optional GitHub Personal Access Token. If not provided and not set in environment, will prompt user.

description

Optional description of the dataset. If not provided and not set, will prompt user.

figshareUrl

Optional URL to the Figshare dataset. If not provided, will prompt user.

datasetFileName

Optional name of the dataset file in Figshare. If not provided, will prompt user for selection.

evidenceFileName

Optional name of the evidence file in Figshare. If not provided, will prompt user for selection.

dataType

Optional type of data. Must be one of: "omics", "clinical", "spatial", "other". If not provided, will prompt user.

skipMd5Check

Optional boolean to skip MD5 verification. Defaults to FALSE.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Trio$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

trio <- Trio$new("figshare:26054188/47112109", cachePath = tempdir())
#> ✔ Reading from Curated Trio Datasets.
#> ✔ Range ''Datasets''.
#> has no supporting evidence for this dataset.
#> ℹ Please add your own supporting evidence for evaluation.