View source: R/create_variable_mapping.R
create_variable_mapping | R Documentation |
Create the variable_mapping table
create_variable_mapping(
observation,
observation_ancillary = NULL,
location_ancillary = NULL,
taxon_ancillary = NULL
)
observation |
(tbl_df, tbl, data.frame) The observation table. |
observation_ancillary |
(tbl_df, tbl, data.frame) The optional observation_ancillary table. |
location_ancillary |
(tbl_df, tbl, data.frame) The optional location_ancillary table. |
taxon_ancillary |
(tbl_df, tbl, data.frame) The optional taxon_ancillary table. |
This function collects specified data tables, extracts unique variable_name values from each, converts into long (attribute-value) form with the table name and variable_name values to the resulting table's "table_name" and "variable_name" columns, respectively. The resulting table's "mapped_system", "mapped_id", and "mapped_label" are filled with NA
and are to be manually filled.
(tbl_df, tbl, data.frame) The variable_mapping table.
flat <- ants_L0_flat
# Create inputs to variable_mapping()
observation <- create_observation(
L0_flat = flat,
observation_id = "observation_id",
event_id = "event_id",
package_id = "package_id",
location_id = "location_id",
datetime = "datetime",
taxon_id = "taxon_id",
variable_name = "variable_name",
value = "value",
unit = "unit")
observation_ancillary <- create_observation_ancillary(
L0_flat = flat,
observation_id = "observation_id",
variable_name = c("trap.type", "trap.num", "moose.cage"))
location_ancillary <- create_location_ancillary(
L0_flat = flat,
location_id = "location_id",
variable_name = "treatment")
taxon_ancillary <- create_taxon_ancillary(
L0_flat = flat,
taxon_id = "taxon_id",
variable_name = c(
"subfamily", "hl", "rel", "rll", "colony.size",
"feeding.preference", "nest.substrate", "primary.habitat",
"secondary.habitat", "seed.disperser", "slavemaker.sp",
"behavior", "biogeographic.affinity", "source"),
unit = c("unit_hl", "unit_rel", "unit_rll"))
# Create variable_mapping table
variable_mapping <- create_variable_mapping(
observation = observation,
observation_ancillary = observation_ancillary,
location_ancillary = location_ancillary,
taxon_ancillary = taxon_ancillary)
variable_mapping
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