Function reference • harpPoint

All functions

arrange(<harp_fcst>): Arrange columns from tables in a harp_fcst object.

bin_fcst_obs(): Create a bi-variate histogram of forecast, observation pairs

bind_bootstrap_score(): Bind output of bootstrap_score / pooled_bootstrap_score

bind_point_verif(): Bind harp verification objects into a single object

bootstrap_score(): Bootstrap a score

bootstrap_verify(): Bootstrap a verification function

check_obs_against_fcst(): Observation error check against forecast

det_probabilities(): Compute binary probabilities for deterministic forecasts

det_verify(): Compute verification scores for deterministic forecasts.

mutate_list() filter_list() select_list(): dplyr verbs for lists

ecoval(): Compute economic value score

ens_brier(): Brier score and its decomposition for an ensemble.

ens_crps(): Continuous Rank Probability Score (CRPS) for an ensemble.

ens_probabilities(): Compute probabilities of threshold exceedence for ensemble forecasts

ens_rank_histogram(): Rank histogram for an ensemble.

ens_read_and_verify(): Read forecast and observations and verify.

ens_reliability(): Reliability for an ensemble.

ens_roc(): Relative Operating Characteristics for an ensemble.

ens_spread_and_skill(): Compute the skill (RMSE) and spread of an ensemble forecast

ens_value(): Economic value for an ensemble.

ens_verify(): Compute all verification scores for an ensemble.

fcprob(): Compute the forecast probabilities for given thresholds

filter(<harp_fcst>): Filter a harp_fcst object.

first_validdate() last_validdate(): Return the first valid date in a forecast

gather_members(): Convert EPS forecast data from wide format data frame to long format data frame.

jitter_fcst(): Jitter a forecast to account for observation errors.

join_models(): Join all models into a single ensemble.

lag_forecast(): Lags a forecast

make_bootstrap_pools(): Make pools for block bootstrapping

merge_multimodel(): Merge sub models of a multimodel ensemble into a single ensemble

mutate(<harp_fcst>): Mutate columns from tables in a harp_fcst object.

mutate_at.harp_fcst(): Mutate selected columns from tables in a harp_fcst object.

perfect_score(): Set or modify and output the perfect scores for different verificaiton metrics

pooled_bootstrap_score(): Bootstrapping by pools

pull(<harp_fcst>): Pull columns from tables in a harp_fcst object.

pull_stations(): Pull station IDs from forecast or observations

qair2rh(): qair2rh

rankHistogram(): Compute the rank histogram for an EPS

rename(<harp_fcst>): Rename columns from tables in a harp_fcst object.

rename_with(<harp_fcst>): Rename multiple columns from tables in a harp_fcst object.

roc(): Compute ROC and area under ROC

scale_point_forecast(): Scale forecast data

scale_point_obs(): Scale observations data

select(<harp_fcst>): Select columns from tables in a harp_fcst object.

shift_forecast(): Shift a forecast

sort_members(): Sort a 2d array.

spread_members(): Convert EPS forecast data from long format data frame to wide format data frame.

transmute(<harp_fcst>): Transmute columns from tables in a harp_fcst object.