Resize the range (min and max values) of data channels to a new dynamic range,
while preserving the relative scaling across channels. e.g. rescale the range
of data to c(0,100).
Arguments
- data
A dataframe.
- nirs_columns
A
list()of character vectors indicating the column names for data channels to be rescaled (see Details).- rescale_range
A numeric vector in the form
c(min, max), indicating the range of output values to which data channels will be rescaled.
Value
A tibble of class mNIRS.data with
metadata available with attributes().
Details
nirs_columns = list() can be used to group data columns to preserve
relative scaling. channels grouped together in a vector will preserve
relative scaling across channels. Should match column names in the dataframe
exactly.
nirs_columns = list("A", "B", "C")will rescale each column separately. Relative scaling will be lost between data channels.
nirs_columns = list(c("A", "B", "C"))will rescale all columns together. Relative scaling is preserved across the group of data channels.
nirs_columns = list(c("A", "B"), c("C", "D"))will rescale columns
AandBtogether, and columnsCandDtogether. Relative scaling is preserved within each group, but not across groups of data channels.