Binning raw data into blocks for dual inlet analyses

This function sorts out (bins) data into indivual blocks of reference, sample, changeover time, and startup time.

Usage

orbi_define_blocks_for_dual_inlet(
  dataset,
  ref_block_time.min,
  change_over_time.min,
  sample_block_time.min = ref_block_time.min,
  startup_time.min = 0,
  ref_block_name = setting("di_ref_name"),
  sample_block_name = setting("di_sample_name")
)

Arguments

dataset

A data frame or tibble produced from IsoX data by orbi_simplify_isox()

ref_block_time.min

time where the signal is stable when reference is analyzed

change_over_time.min

time where the signal is unstable after switching from reference to sample or back

sample_block_time.min

time where the signal is stable when sample is analyzed

startup_time.min

initial time to stabilize spray

ref_block_name

the name of the reference being measured

sample_block_name

the name of the sample being measured

Value

A data frame (tibble) with block annotations in the form of the additional columns described below:

• data_group is an integer that numbers each data group (whether that's startup, a sample block, a segment, etc.) in each file sequentially to uniquely identify groups of data that belong together - this columns is NOT static (i.e. functions like orbi_adjust_block() and orbi_segment_blocks() will lead to renumbering) and should be used purely for grouping purposes in calculations and visualization

• block is an integer counting the data blocks in each file (0 is the startup block)

• sample_name is the name of the material being measured as defined by the ref_block_name and sample_block_name parameters

• segment is an integer defines segments within individual blocks - this will be NA until the optional orbi_segment_blocks() is called

• data_type is a text value describing the type of data in each data_group - for a list of the main categories, call orbi_get_settings("data_type")