Function reference
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import_inv() - Importing macroinvertebrate sampling data from the EA Ecology and Fish Data Explorer
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import_inv_taxa() - Importing macroinvertebrate abundance data from the EA Ecology and Fish Data Explorer
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import_env() - Importing environmental base data from the EA Ecology and Fish Data Explorer
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import_flow() - Import flow data from NRFA, HDE and local files
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import_hde() - Importing flow data from the Environment Agency (EA) Hydrology Data Explorer (HDE)
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import_nrfa() - Importing flow data from the National River Flow Archive (NRFA)
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import_flowfiles() - Importing flow data from local files
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import_rhs() - Importing River Habitat Survey (RHS) data from the EA's Open Data portal
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import_wq() - Importing water quality data from the EA Water Quality Explorer
Processing functions
Functions for processing and joining biology, flow and other environmental data
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predict_indices() - Calculating expected scores for macroinvertebrate indices using the RICT2 model
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predict_indices_old() - Predict expected scores for macroinvertebrate indices
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impute_flow() - Infilling missing records in daily flow time series for one or more sites
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calc_flowstats() - Calculating summary statistics describing historical flow conditions.
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calc_flowstats_old() - Calculate a suite of long-term and seasonal flow statistics for one or more sites.
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calc_rfrstats() - Calculating summary statistics describing historical flow conditions
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join_he() - Linking biology samples with time-varying flow statistics for paired biology and flow sites.
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join_he_old() - Link biology data to six-monthly flow statistics for paired biology and flow sites.
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plot_heatmap() - Visualising and summarising gaps in time series data
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plot_sitepca() - Summarising environmental characteristics of biological sampling sites
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plot_rngflows() - Visualising the range of flow conditions experienced historically at a site
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plot_hev() - Producing time series plots of biology and flow data
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shiny_hev() - Producing interactive time series plots of biology and flow data
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diag_lmer() - Generating a variety of diagnostic plots for a mixed-effects regression (lmer) model
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model_cv() - Performing cross-validation on linear mixed-effects models and hierarchical generalized additive models
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model_logocv() - Performing cross-validation on linear mixed-effects models and hierarchical generalized additive models
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plot_predictions() - Visualising the time series predictions from a hydro-ecological model