Merge datasets of class proximate_data — proximate

This function allows you to quickly merge two separate datasets of class proximate_data into a single one. The first dataset must be of class proximate_data, while the second may be any kind of list-like format, but must contain at least columns named spc and ID.

Usage

proximate_merge(x)

Arguments

x: a list containing objects of class proximate_data, obtained from proximate_read_data or via proximate_data. The first element in the list is used as the reference for aligning the spectral data of the remaining elements. See details.

Value

a data.frame of class proximate_data, containing the merged data.

Details

This functions provides a way to merge different datasets into a single table.

In cases where the first dataset in the list (the one used as reference for spectral alignment) has spectral data with an spectral range outside the limits of another dataset, the spectral data of such dataset will not be extrapolated. In that case the spectral variables outside such limits will be filled with NAs.

The function checks for any of the standard names of a .tsv file of ProxiMate, identifying any unexpected column names as properties.

Propeties that are contained in both datasets are merged into a single column. Otherwise, the columns of a property that is only contained in one of the datasets is filled up with NA.

Author

Claudio Orellano

Examples

# to do

Merge datasets of class `proximate_data`