Man pages for rmweather
Tools to Conduct Meteorological Normalisation on Air Quality Data

data_londonExample observational data for the *rmweather* package.
data_london_normalisedExample meteorologically normalised data for the *rmweather*...
model_londonExample *ranger* random forest model for the *rmweather*...
pipePseudo-function to re-export *magrittr*'s pipe.
rmw_clipFunction to "clip" the edges of a normalised time series...
rmw_do_allFunction to train a random forest model to predict (usually)...
rmw_find_breakpointsFunction to detect breakpoints in a data frame using a linear...
rmw_model_statisticsFunctions to extract model statistics from a model calculated...
rmw_normaliseFunction to normalise a variable for "average" meteorological...
rmw_partial_dependenciesFunction to calculate partial dependencies after training...
rmw_plot_importanceFunction to plot random forest variable importances after...
rmw_plot_normalisedFunction to plot the meteorologically normalised time series...
rmw_plot_partial_dependenciesFunction to plot partial dependencies after calculation by...
rmw_plot_test_predictionFunction to plot the test set and predicted set after...
rmw_predictFunction to predict using a *ranger* random forest.
rmw_predict_the_test_setFunctions to use a model to predict the observations within a...
rmw_prepare_dataFunction to prepare a data frame for modelling with...
rmw_train_modelFunction to train a random forest model to predict (usually)...
system_cpu_core_countFunction to return the system's number of CPU cores.
wday_mondayFunction to get weekday number from a date where '1' is...
rmweather documentation built on Nov. 12, 2018, 5:04 p.m.