Description Usage Arguments Value Examples
View source: R/prepare_forestdata.R
This function counterbalances the high number of arguments in ForestData:
many of these simply correspond to the input dataset column names, and have
to be specified over and over when running each function.
prepare_forestdata
allows the user to specify these column names only
once and then run all the functions without having to do it again
1 2 3 4 5 6 7 8 9 10 |
data |
data.frame, the forest census dataset that you want to treat with the ForestData r-package |
plot_col |
character, the name of the column containing plot indices |
id_col |
character, the name of the column containing tree unique ids |
time_col |
character, the name of the column containing census years or times |
status_col |
character, the name of the column containing tree vital statuses |
size_col |
character, the name of the column containing tree size measurements |
measure_type |
character indicating whether measures are circumferences ("C") or diameter ("D") |
POM_col |
character, the name of the column containing Point of Measurement (POM) values |
NULL, because this function just sets global options to fluidify ForestData's usage.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | # Loading example dataset
data(example_census)
# specifying the example dataset's column names
prepare_forestdata(example_census,
plot_col="Plot",
id_col="idTree",
time_col="CensusYear",
status_col = "CodeAlive",
size_col="Circ",
measure_type = "C",
POM_col = "POM")
# checking that the options have been set
getOption("plot_col"); getOption("time_col")
# If the function is run twice with similar specification for one
#or several options, a message indicates that these specific option.s
#kept unchanged
prepare_forestdata(example_census,
plot_col="Plot",
id_col="idTree",
time_col="CensusYear",
status_col = "CodeAlive",
size_col="Circ",
measure_type = "C",
POM_col = "POM")
# If one column name is erroneous, then the function stops with explicit error message
## Not run:
prepare_forestdata(example_census,
plot_col="SAUCISSON",
id_col="idTree",
time_col="CensusYear",
status_col = "CodeAlive",
size_col="Circ",
measure_type = "C",
POM_col = "POM")
## "Error in prepare_forestdata(example_census,
## plot_col = "SAUCISSON", id_col = "idTree", :
## plot_col is not any of your dataset's column name..."
## End(Not run)
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