Read and process OTM data

Read and processes data from multiple operative temperature model (OTM) .csv files and adds metadata

Usage

rnp_otms_data(path, rows_skip, date_col, time_col, op_temp_col, metadata)

Arguments

path

A character specifying either the path for a single or the folder for multiple OTM files in .csv format. The file needs to have at least a column with information on the moment (i.e., date and time of the day) when each measurement was made and a column with an operative temperature value for each measurement

rows_skip

An integer >= 0 indicating the rows to skip when reading OTM .csv files. If omitted, it defaults to 0.

date_col

An integer >= 1 indicating the column in the OTM .csv file that contains date of the measurement. Dates need to be in either MM/DD/YYYY HH:MM:SS, MM/DD/YYYY HH:MM or MM/DD/YYYY.

time_col

An integer >= 1 indicating the column in the OTM .csv file that contains the time of the measurement. Times need to be in HH:MM:SS or HH:MM format. If not specified, it will try to extract the date information from date_col.

op_temp_col

An integer >= 1 indicating the column column in the OTM .csv file that contains the operative temperature measurement

metadata

A tibble or data.frame containing metadata related to each OTM. It must include an otm_id character column matching the names of each of the OTM files and numeric columns for latitude and longitude

Value

A tibble where each row represents a unique operative temperature measurement (op_temp) taken by a given OTM (specified by otm_id), that occurred in a given year, date of the year (doy) and minute of the day (mod). The tibble will have as many additional columns as metadata characteristics included in metadata.