pick_drop: Pick and drop rows from _ViewFullTable_, _tree_, and _stem_...

In fgeo.tool: Import and Manipulate 'ForestGEO' Data

Pick and drop rows from ViewFullTable, tree, and stem tables.

Description

These functions provide an expressive and convenient way to pick specific rows from ForestGEO datasets. They allow you to remove missing values (with na.rm = TRUE) but conservatively default to preserving them. This behavior is similar to base::subset() and unlike dplyr::filter(). This conservative default is important because you want want to include missing trees in your analysis.

Usage

pick_dbh_min(data, value, na.rm = FALSE)

pick_dbh_max(data, value, na.rm = FALSE)

pick_dbh_under(data, value, na.rm = FALSE)

pick_dbh_over(data, value, na.rm = FALSE)

pick_status(data, value, na.rm = FALSE)

drop_status(data, value, na.rm = FALSE)

Arguments

data	A ForestGEO-like dataframe: A ViewFullTable, tree or stem table.
value	An atomic vector; a single value against to compare each value of the variable encoded in the function's name.
na.rm	Set to TRUE if you want to remove missing values from the variable encoded in the function's name.

Value

A dataframe similar to .data but including only the rows with matching conditions.

See Also

dplyr::filter(), Extract ([).

Other functions for fgeo census and vft: guess_plotdim()

Other functions for fgeo census: add_status_tree(), add_var(), guess_plotdim()

Other functions for fgeo vft: add_status_tree(), add_subquad(), add_var(), guess_plotdim()

Other functions to pick or drop rows of a ForestGEO dataframe: pick_main_stem()

Examples

# styler: off
census <- tribble(
  ~dbh, ~status,
     0,     "A",
    50,     "A",
   100,     "A",
   150,     "A",
    NA,     "M",
    NA,     "D",
    NA,      NA
  )
# styler: on

# <=
pick_dbh_max(census, 100)
pick_dbh_max(census, 100, na.rm = TRUE)

# >=
pick_dbh_min(census, 100)
pick_dbh_min(census, 100, na.rm = TRUE)

# <
pick_dbh_under(census, 100)
pick_dbh_under(census, 100, na.rm = TRUE)

# >
pick_dbh_over(census, 100)
pick_dbh_over(census, 100, na.rm = TRUE)
# Same, but `subset()` does not let you keep NAs.
subset(census, dbh > 100)

# ==
pick_status(census, "A")
pick_status(census, "A", na.rm = TRUE)

# !=
drop_status(census, "D")
drop_status(census, "D", na.rm = TRUE)

# Compose
pick_dbh_over(
  drop_status(census, "D", na.rm = TRUE),
  100
)

# More readable as a pipiline
census %>%
  drop_status("D", na.rm = TRUE) %>%
  pick_dbh_over(100)

# Also works with ViewFullTables
# styler: off
vft <- tribble(
  ~DBH,   ~Status,
     0,   "alive",
    50,   "alive",
   100,   "alive",
   150,   "alive",
    NA, "missing",
    NA,    "dead",
    NA,        NA
)
# styler: on

pick_dbh_max(vft, 100)

pick_status(vft, "alive", na.rm = TRUE)

fgeo.tool documentation built on Sept. 3, 2022, 5:05 p.m.