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Intermediate function to apply filter predicates on a data frame

Source: R/filter_predicates.R
apply_filter_predicate.Rd

This function is used internally by all the get_*() functions to filter on deployments.

Usage

apply_filter_predicate(df, verbose, ...)

Arguments

df

Data frame we want to apply filter(s) expression(s)

verbose

Show (TRUE) or not (FALSE) the filter predicate expression.

...

filter predicates to apply to df

Value

A data frame.

See also

Other filter functions: pred()

Examples

# and
apply_filter_predicate(
  mica$data$deployments,
  verbose = TRUE,
  pred_gte("latitude", 51.28),
  pred_lt("longitude", 3.56)
)
#> df %>% dplyr::filter((latitude >= 51.28) & (longitude < 3.56))
#> # A tibble: 0 × 24
#> # … with 24 variables: deploymentID <chr>, locationID <chr>,
#> #   locationName <chr>, longitude <dbl>, latitude <dbl>,
#> #   coordinateUncertainty <dbl>, start <dttm>, end <dttm>, setupBy <chr>,
#> #   cameraID <chr>, cameraModel <chr>, cameraInterval <dbl>,
#> #   cameraHeight <dbl>, cameraTilt <dbl>, cameraHeading <dbl>,
#> #   timestampIssues <lgl>, baitUse <fct>, session <chr>, array <chr>,
#> #   featureType <fct>, habitat <chr>, tags <chr>, comments <chr>, _id <chr>
# Equivalent of
apply_filter_predicate(
  mica$data$deployments,
  verbose = TRUE,
  pred_and(
    pred_gte("latitude", 51.28),
    pred_lt("longitude", 3.56)
  )
)
#> df %>% dplyr::filter(((latitude >= 51.28) & (longitude < 3.56)))
#> # A tibble: 0 × 24
#> # … with 24 variables: deploymentID <chr>, locationID <chr>,
#> #   locationName <chr>, longitude <dbl>, latitude <dbl>,
#> #   coordinateUncertainty <dbl>, start <dttm>, end <dttm>, setupBy <chr>,
#> #   cameraID <chr>, cameraModel <chr>, cameraInterval <dbl>,
#> #   cameraHeight <dbl>, cameraTilt <dbl>, cameraHeading <dbl>,
#> #   timestampIssues <lgl>, baitUse <fct>, session <chr>, array <chr>,
#> #   featureType <fct>, habitat <chr>, tags <chr>, comments <chr>, _id <chr>


# or
apply_filter_predicate(
  mica$data$deployments,
  verbose = TRUE,
  pred_or(
    pred_gte("latitude", 51.28),
    pred_lt("longitude", 3.56)
  )
)
#> df %>% dplyr::filter(((latitude >= 51.28) | (longitude < 3.56)))
#> # A tibble: 0 × 24
#> # … with 24 variables: deploymentID <chr>, locationID <chr>,
#> #   locationName <chr>, longitude <dbl>, latitude <dbl>,
#> #   coordinateUncertainty <dbl>, start <dttm>, end <dttm>, setupBy <chr>,
#> #   cameraID <chr>, cameraModel <chr>, cameraInterval <dbl>,
#> #   cameraHeight <dbl>, cameraTilt <dbl>, cameraHeading <dbl>,
#> #   timestampIssues <lgl>, baitUse <fct>, session <chr>, array <chr>,
#> #   featureType <fct>, habitat <chr>, tags <chr>, comments <chr>, _id <chr>