check_outliers_dataset: Check which points are spatial dataset outliers.

In sharksmhi/tryout: Automatic quality control of physical, chemical and marine biological data generated by the SHARK system

Description

Check which points are spatial dataset outliers.

Usage

check_outliers_dataset(data, report = FALSE, mad_coef = 6, iqr_coef =

  3)

Arguments

data	The data frame with decimalLongitude and decimalLatitude columns.
report	If TRUE, errors are returned instead of records.
mad_coef	Coefficient to multiply the median absolute deviation (MAD) by in order to determine the range of valid values. Default is 6.
iqr_coef	Coefficient to multiply the interquartile range (IQR) by in order to determine the range of valid values. Default values is 3.

Value

Problematic records or an errors report.

See Also

plot_outliers check_outliers_species check_onland check_depth

Examples

## Not run: 
ok <- check_outliers_dataset(abra, report = FALSE)
print(nrow(ok))
r <- check_outliers_dataset(abra, report = TRUE, mad_coef = 3, iqr_coef = 1.5)
print(r)
plot_map_leaflet(abra[r$row,], popup = "id")
plot_outliers(r)

## End(Not run)

sharksmhi/tryout documentation built on Dec. 27, 2019, 5:34 a.m.