Package index • iidda.analysis

Data Harmonization

add_user_entries(): Add entries to user table

create_bin_desc(): Create age bin descriptions

generate_empty_df(): Create empty table with column names

generate_user_table(): Create user-defined lookup table

join_lookup_table(): Join lookup table

join_user_table(): Join user-defined lookup table

lookup_join(): Left join for lookup tables

names_to_join_by(): Column names to join by

resolve_join(): Resolve left_join

Not Data Harmonization

BasalGroupAdder(): Basal Group Adder

ComputeMovingAverage(): Compute Moving Average of Time Series

CountAggregator(): Count Aggregator

CustomDataPrep(): Custom Data Prep Function

DataDictionaryConverter(): Data Dictionary Converter

Deheaper(): De-heaping time series

HandleMissingValues(): Handle Missing Values in Series Variable

HandleZeroValues(): Handle Zero Values in Series Variable

PeriodAggregator(): Period Aggregator

PeriodDescriber(): Period Describer

SeriesHarmonizer(): Series Harmonizer

Skipper(): Skip Pipeline Step

TimeRangeDescriber(): Time Range Desciber

TimeScalePicker(): Time Scale Picker

TimeVariableConverter(): Time Variable Converter

TitleGuesser(): Title Guesser

TrimSeries(): Trim Time Series

basal_group(): Basal Group

browse_pipeline_dependencies(): Browse Pipeline Dependencies

ca_iso_3166_2(): Order Canadian Provinces Geographically

check_date(): Test if x is a Date, coerce if not

clean_canmod_cdi(): Clean CANMOD CDI Data

data_prep_constructors: Data Prep Constructors

handle_missing_values_default() handle_zero_values_default() trim_series_default() series_harmonizer_default() deheaper_default() compute_moving_average_default() period_aggregator_default() count_aggregator_default() period_describer_default(): Data Prep Default Functions

factor_time_scale(): Factor Time Scale

find_unaccounted_cases(): Find Unaccounted Cases

generate_disease_df(): Data for a Particular Disease

get_iidda_attr(): Get IIDDA Attribute

get_implied_zeros(): Get Implied Zeros

get_unit_labels(): Get time unit labels

grid_dates(): Create a grid of dates starting at the first day in grid unit

iidda_attach_bar(): Attach Bar Plot to Dataset

iidda_get_metadata(): Get IIDDA metadata

iidda_plot_bar(): Plot Bar Graph

iidda_plot_box(): Plot Box Plot

iidda_plot_heatmap(): Plot Heatmap

iidda_plot_highlight(): Add Plot Highlight

iidda_plot_ma(): Plot Moving Average Time Series

iidda_plot_rohani_heatmap(): Plot Rohani Heatmap

iidda_plot_settings(): LBoM plot settings

iidda_plot_wavelet(): Plot Wavelet

iidda_prep_bar(): Prep Data for Bar Graph

iidda_prep_box(): Prep Data for Box plot

iidda_prep_rohani(): Prep Data for Rohani Plot

iidda_prep_seasonal_heatmap(): Prep Data for seasonal heatmap

iidda_render_plot(): Render a Plot

iidda_series() iidda_attach_series() iidda_prep_ma() iidda_prep_series(): Plot a time series

iidda_theme() iidda_theme_time() iidda_theme_heat() iidda_theme_above(): Themes for ggplot2

log1p_modified_trans(): Log1p Scale Transformation

lubridate_funcs: Lubridate functions

make_time_trans(): Get time transformation

mid_dates() mid_times(): Period Mid-Dates and Mid-Times

mutate_time_vars(): Mutate time variables

normalize_disease_hierarchy(): Normalize Disease Hierarchy

normalize_duplicate_sources(): Normalize Duplicate Sources

normalize_location(): Normalize Location

normalize_population(): Normalize Population

normalize_time_scales(): Normalize Time Scales

num_days() num_days_util(): Numbers of Days

period_averager(): Obtain period midpoints and average daily rates for count data

quantile_trans(): Quantile Transformation

read_iidda_dataset(): Read IIDDA Dataset into a Dataframe

std_series_variables(): Series variables

std_time_units: Time units

std_time_variables(): Time variables

time_extent(): Time Extent

titleize(): Titleize

union_series(): Union Time Series

unique_entries(): Get unique tokens from iidda metadata

valid_time_vars(): Validate time variables

wavelet_something: Prep Data for Wavelet Plot

year_end_fix(): Year End Fix