filter_sites_by_md | R Documentation |
filter_sites_by_md
function takes logical expressions for the metadata
variables (i.e. pl_sens_meth == 'HR'
), and list the sites that met
the criteria from those supplied
filter_sites_by_md(sites, metadata, ..., .join = c("and", "or"))
sites |
character vector with the sites codes to filter, generally the
result of |
metadata |
metadata tbl object, usually the result of
|
... |
Logical expressions for the metadata variables, as in
|
.join |
Character indicating how to filter the sites, see details. |
.join
argument indicates how sites must be filtered between metadata
classes. 'and'
indicates only sites meeting all conditions for all
metadata classes are returned. 'or'
indicates all sites meeting any
condition between classes are returned. For two or more filters of the same
metadata class, they are combined as 'and'.
A character vector with the sites fulfilling the premises
# Let's access the data in "folder". This typically is the folder where the # sapflow data at the desired unit level is (i.e. "RData/plant"), but in this # example we will create a temporal folder with some data to test the function folder <- tempdir() save(ARG_TRE, file = file.path(folder, 'ARG_TRE.RData')) save(ARG_MAZ, file = file.path(folder, 'ARG_MAZ.RData')) save(AUS_CAN_ST2_MIX, file = file.path(folder, 'AUS_CAN_ST2_MIX.RData')) # we need the metadata and the site names metadata <- read_sfn_metadata(folder = folder, .write_cache = TRUE) sites <- sfn_sites_in_folder(folder) # Filter by Heat Ratio method filter_sites_by_md( pl_sens_meth == 'HR', sites = sites, metadata = metadata ) # Both, Heat Ratio and Heat Dissipation filter_sites_by_md( pl_sens_meth %in% c('HR', 'HD'), sites = sites, metadata = metadata ) # more complex, Heat Ratio method AND Woodland/Shrubland biome filter_sites_by_md( pl_sens_meth == 'HR', si_biome == 'Woodland/Shrubland', sites = sites, metadata = metadata, .join = 'and' # default ) # join = 'or' returns sites that meet any condition filter_sites_by_md( pl_sens_meth == 'HR', si_biome == 'Woodland/Shrubland', sites = sites, metadata = metadata, .join = 'or' )
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