Cleans the data and turns it into time series structures ready for assessment
Usage
create_timeseries(
ctsm.obj,
determinands = ctsm_get_determinands(ctsm.obj$info),
determinands.control = NULL,
oddity_path = "oddities",
return_early = FALSE,
print_code_warnings = FALSE,
get_basis = get_basis_default,
normalise = FALSE,
normalise.control = list()
)Arguments
- ctsm.obj
the CTSM object, as returned from
tidy_data- determinands
the determinands to use, by default derived by calling
ctsm_get_determinands, which takes values from the determinand reference table- determinands.control
determinands control values, when needed
- oddity_path
a directory to write the oddities to
- return_early
a boolean (default
FALSE), ifTRUE, returns early- print_code_warnings
a boolean (default
FALSE)- get_basis
a basis function, by default
get_basis_default- normalise
boolean or function, if TRUE, uses a default normalization
- normalise.control
a list of control data for the normalization function