Tools to Conduct Meteorological Normalisation on Air Quality Data

data_london | Example observational data for the *rmweather* package. |

data_london_normalised | Example meteorologically normalised data for the *rmweather*... |

model_london | Example *ranger* random forest model for the *rmweather*... |

pipe | Pseudo-function to re-export *magrittr*'s pipe. |

rmw_clip | Function to "clip" the edges of a normalised time series... |

rmw_do_all | Function to train a random forest model to predict (usually)... |

rmw_find_breakpoints | Function to detect breakpoints in a data frame using a linear... |

rmw_model_statistics | Functions to extract model statistics from a model calculated... |

rmw_normalise | Function to normalise a variable for "average" meteorological... |

rmw_partial_dependencies | Function to calculate partial dependencies after training... |

rmw_plot_importance | Function to plot random forest variable importances after... |

rmw_plot_normalised | Function to plot the meteorologically normalised time series... |

rmw_plot_partial_dependencies | Function to plot partial dependencies after calculation by... |

rmw_plot_test_prediction | Function to plot the test set and predicted set after... |

rmw_predict | Function to predict using a *ranger* random forest. |

rmw_predict_the_test_set | Functions to use a model to predict the observations within a... |

rmw_prepare_data | Function to prepare a data frame for modelling with... |

rmw_train_model | Function to train a random forest model to predict (usually)... |

system_cpu_core_count | Function to return the system's number of CPU cores. |

wday_monday | Function to get weekday number from a date where '1' is... |

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