norm_owlstone: Scale data frame using scaling factor (divide by scalling...

In chechir/phantomR: Provide functions for visualisation and notmalisation of Metabolomics data

Description

Normalise data assuming that samples are in rows, and molecular features in columns

Usage

norm_owlstone(df_to_scale, time_col, feature_cols, factor_at_time_to_divide_by)

Arguments

df_to_scale	Input data frame (rows as samples and columns as features)
time_col	column that contains the time aggregation (e.g. sequence or batch)
feature_cols	vector with the name of the features to use
factor_at_time_to_divide_by	data frame with the scaling factor. It must be consistent with the time_col parameter

Author(s)

BDA Team matias.thayer@owlstone..co.uk BDA Team License: GNU GPL (>= 2)

chechir/phantomR documentation built on June 17, 2020, 3:40 p.m.