Function reference • harpCore

All functions

arrange(<harp_list>): Arrange rows by column values

as_det(): Convert an ensemble forecast to deterministic.

as_dttm(): Convert to date-time (POSIXct) object

as_harp_df() is_harp_df(): Coerce to a harp_df data frame

as_harp_list() is_harp_list(): Create a list of harp data frames

as_str_dttm() as_YMD() as_ymd() as_YMDh() as_ymdh() as_YMDhm() as_ymdhm() as_YMDhms() as_ymdhms(): Convert to date-time string

as_unixtime(): Convert to UNIX time - seconds since 1970-01-01 00:00:00

bind(): Bind data frames in a list

common_cases(): Filter to common cases

decum(): Decumulate accumulated variables

define_domain(): Define a geodomain

deharp(): Remove harp classes

ens_mean_and_var(): Compute the ensemble mean and variance

ens_prob(): Compute the ensemble probability for a threshold

ens_stats(): Compute basic ensemble statistics

det_point_df ens_point_df det_grid_df ens_grid_df det_point_list ens_point_list det_grid_list ens_grid_list anl_grid_df: Data for examples

expand_date(): Expand date-time column in a data frame

extract_numeric(): Extract numeric values from a string or vector of strings

semi_join(<harp_list>) anti_join(<harp_list>): Filtering joins for harp_lists

filter(<harp_list>): Subset rows using column values

geo_opts_points() geo_opts_regrid() geo_opts_subgrid() geo_opts_zoom() geo_opts_xsection() geo_opts_upscale(): Options for different transformations

geo_reproject(): Reproject from or to lat-lon coordinates

geo_points() geo_regrid() geo_subgrid() geo_zoom() geo_xsection() geo_upscale() geo_transform(): Geographic transformation of gridded data

geo_weights() geo_weights_points() geo_weights_regrid() geo_weights_xsection(): Compute interpolation weights for geographic transformations

geofield(): Geofields

geolist() is_geolist() variance() std_dev(): Geolists

get_domain(): Extract domain information as a geodomain object

glapply(): Apply a function to each element of a geolist

glapply2(): Apply a function to element pairs of 2 geolists

join_to_fcst(): Join data to a forecast

make_verif_groups(): Combine groups to make a list of all possible verification groups

rh_to_td() q_to_rh(): Compute dewpoint temperature from temperature and relative humidity

inner_join(<harp_list>) left_join(<harp_list>) right_join(<harp_list>) full_join(<harp_list>): Mutating joins for harp_lists

mutate(<harp_list>) transmute(<harp_list>): Create, modify and delete columns

nbhd_smooth() cumsum_2d() nbhd_smooth_cumsum(): Smooth a 2d field based an a neighbourhood radius

parse_thresholds(): Decide whether thresholds are absolute or quantiles

pivot_members(): Pivot between wide and long ensemble data frames

psub(): Piecewise pattern matching and replacement

pull(<harp_list>): Extract a single column

rename(<harp_list>) rename_with(<harp_list>): Rename columns

scale_param(): Scale a parameter in a data frame

select(<harp_list>): Subset columns using their names and types

select_members(): Select ensemble members

seq_double(): Generate a doubled sequence

seq_dttm() seq_secs() seq_mins() seq_hours() seq_days(): Generate a sequence of time strings

seq_pwr2(): Generate a sequence of integer powers of 2

set_units(): Add or modify a units column

station_groups: Weather station IDs with regional groups

station_list: List of Weather Stations

to_seconds(): Convert a time period to seconds

unique_col() unique_stations() unique_valid_dttm() unique_fcst_dttm(): Extract unique values from a data frame column

unixtime_to_dttm() unixtime_to_YMD() unixtime_to_YMDh() unixtime_to_YMDhm() unixtime_to_YMDhms() unixtime_to_ymd() unixtime_to_ymdh() unixtime_to_ymdhm() unixtime_to_ymdhms() unixtime_to_str_dttm(): Convert unix time to other formats.