rtry_bind_row: Bind data by rows

In rtry: Preprocessing Plant Trait Data

Bind data by rows

Description

This function takes a list of data frames or data tables and combines them by rows, it adds the rows of the second data below the rows of the first one.

Usage

rtry_bind_row(..., showOverview = TRUE)

Arguments

...	A list of data frames or data tables to be combined by rows.
showOverview	Default TRUE displays the dimension and column names of the combined data.

Value

An object of the same type as the first input. The object will contain a column if that column appears in any of the inputs.

Note

A common attribute is not necessary (difference to the function rtry_join_left and rtry_join_outer): the binding process simply puts the data one after another while matching the column names, and any missing columns will be filled with NA.

References

This function makes use of the bind_rows function within the dplyr package.

See Also

rtry_bind_col, rtry_join_left, rtry_join_outer

Examples

# Combine the two provided sample data (data_TRY_15160 and data_TRY_15161)
data <- rtry_bind_row(data_TRY_15160, data_TRY_15161)

# Expected message:
# dim:   6409 28
# col:   LastName FirstName DatasetID Dataset SpeciesName AccSpeciesID AccSpeciesName
#        ObservationID ObsDataID TraitID TraitName DataID DataName OriglName
#        OrigValueStr OrigUnitStr ValueKindName OrigUncertaintyStr UncertaintyName
#        Replicates StdValue UnitName RelUncertaintyPercent OrigObsDataID ErrorRisk
#        Reference Comment V28

rtry documentation built on Aug. 10, 2023, 1:07 a.m.