mergeMeasMeta: Merge measurements and metadata

In hugheylab/limorhyde2: Quantify Rhythmicity and Differential Rhythmicity in Genomic Data

Merge measurements and metadata

Description

This function is useful for plotting time-courses for individual features.

Usage

mergeMeasMeta(y, metadata, features = NULL, sampleColname = "sample")

Arguments

y	Matrix-like object of measurements, with rows corresponding to features and columns to samples.
metadata	data.frame containing experimental design information for each sample. Rows of metadata must correspond to columns of y. Row names are ignored.
features	Vector of names, row numbers, or logical values for subsetting the features. NULL indicates all features.
sampleColname	String indicating the column in metadata containing the name of each sample, which must correspond to the column names of y.

Value

A data.table with one row for each sample-feature pair.

See Also

getExpectedMeas()

Examples

library('data.table')

y = GSE34018$y
metadata = GSE34018$metadata

fit = getModelFit(y, metadata)
fit = getPosteriorFit(fit)

measObs = mergeMeasMeta(y, metadata, features = c('13170', '12686'))
measFitMean = getExpectedMeas(
  fit, times = seq(0, 24, 0.5), features = c('13170', '12686'))

hugheylab/limorhyde2 documentation built on Jan. 29, 2024, 8:36 p.m.