metrics_tidyfier | R Documentation |
Transform the nested list of metrics in a tidy tibble where each observation has its own row
metrics_tidyfier( metrics_res, metadata, interval = c("general", "predawn", "midday", "night", "daylight") )
metrics_res |
Nested list containing the metrics results as obtained
from |
metadata |
List containing the metadata nested list, as obtained from
|
interval |
Interval to return, it depends on the |
a tibble with the following columns:
TIMESTAMP: POSIXct vector with the date-time of the observation
si_code: Character vector with the site codes
pl_code: Character vector with the plant codes
sapflow_*: Variables containing the different metrics for the sapflow measurements (i.e. sapflow_mean, sapflow_q_95)
ta_*; rh_*; vpd_*; ...: Variables containing the different metrics for environmental variables (i.e. ta_mean, ta_q_95)
pl_*: plant metadata variables (i.e. pl_sapw_area, pl_sens_meth)
si_*: site metadata variables (i.e. si_biome, si_contact_firstname)
st_*: stand metadata variables (i.e. st_aspect, st_lai)
sp_*: species metadata variables (i.e. sp_basal_area_perc)
env_*: environmental metadata variables (i.e. env_timezone)
# data multi_sfn <- sfn_data_multi(ARG_TRE, ARG_MAZ, AUS_CAN_ST2_MIX) data('sfn_metadata_ex', package = 'sapfluxnetr') # metrics multi_metrics <- daily_metrics(multi_sfn) # tidyfing multi_tidy <- metrics_tidyfier( multi_metrics, sfn_metadata_ex, interval = 'general' ) multi_tidy # A really easier way of doing the same multi_tidy_easy <- daily_metrics(multi_sfn, tidy = TRUE, metadata = sfn_metadata_ex)
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