Package index • ecodata

All functions
`GeomRecession`	Definition of the GeomRecession
`abbreviated_units()`	abbreviated_units
`abbreviated_units_dollar()`	abbreviated_units_dollar
`add_ecodata()`	Download data and add to existing ecodata data frame
`add_ecodata_class()`	Add 'ecodata' to the class of a date frame
`ecodata_cite()`	Create a data frame describing how ecodata variables should be cited
`ecodata_cite_table()`	Create a table describing how ecodata variables should be cited
`ecodata_colorscale()`	ecodata_colorscale
`ecodata_compute_pctchange()`	Compute Year-over-Year Percentage Change
`ecodata_description()`	Get a description of an ecodata data frame
`ecodata_description_table()`	Create a table describing variables in an ecodata data frame
`ecodata_fred_openapi()`	Test FRED API
`ecodata_get_attributes()`	Get a Given Attribute for All Columns
`ecodata_get_fredkey()`	Get FRED API key
`ecodata_get_frequencies()`	Get all frequencies
`ecodata_get_sources()`	Get Data Sources
`ecodata_get_units()`	Get all units
`ecodata_join()`	Full join multiple ecodata data frames
`ecodata_linear_interpolate()`	Perform a linear interpolation for missing values
`ecodata_scale_comma()`	Modify the y-axis scale to use abbreviated comma formatting while keeping other settings intact.
`ecodata_scale_dollar()`	Modify the y-axis scale to use dollar formatting while keeping other settings intact.
`ecodata_scale_percent()`	Modify the y-axis scale to use percent formatting while keeping other settings intact.
`ecodata_set_fredkey()`	Set the FRED API key
`ecodata_theme()`	Theme for ecodata plots
`ecodata_theme_large()`	Theme with large text
`ecodata_theme_normal()`	Theme with normal-size text
`ecodata_theme_small()`	Theme with small-size text
`filter()`	Keep rows that match a condition
`geom_recession()`	Get a geom_rect() that identifies recessions
`get_ecodata()`	Download economic data from FRED or World Bank
`get_ecodata_allcountries_wb()`	Retrieve data from World Bank Data for all countries
`get_ecodata_allstates_fred()`	Get state-level FRED data for all U.S. states
`get_ecodata_variable()`	Download a single variable from FRED or World Bank
`get_ecodata_variable_country_wb()`	Download single variable for a single country from World Bank Data
`get_ecodata_variable_fred()`	Download a single variable from FRED
`get_ecodata_variable_wb()`	Get data for a single variable from World Bank Data
`get_ecodata_varnames()`	Get all variable names
`get_frequency_types()`	Function to return standard frequency types
`get_recessions()`	Get NBER recession dates
`get_state_abbr()`	Get the two-letter abbreviation for a state
`get_state_fips()`	Get the FIPS code for a U.S. state
`get_state_fips_all()`	Get FIPS codes for all U.S. States
`get_state_name()`	Get name of a U.S. State
`get_varcode_url()`	Get a variable code from a FRED or World Bank Data URL
`get_varcode_url_fred()`	Get a variable code from a FRED URL
`get_varcode_url_worldbank()`	Get a variable code from a World Bank Data URL
`get_wb_variable_code()`	Extract variable code from World Bank Data URL
`ggplot_add.GeomRecessionLayer()`	Add a geom recession layer
`ggplot_ecodata_bar()`	Create bar plot for ecodata variables
`ggplot_ecodata_facet()`	Create faceted time series plot for ecodata variables
`ggplot_ecodata_ts()`	Create time series plot for ecodata variables
`glimpse()`	Get a glimpse of ecodata
`glimpse.ecodata()`	Get a glimpse of ecodata
`is_empty()`	Test if a string is empty
`is_valid_url()`	Test if a string is a valid URL
`maximum_frequency()`	Compute maximum frequency
`minimum_frequency()`	Compute minimum frequency
`mutate()`	Create and Modify Variables
`mutate.ecodata()`	Create and Modify Variables
`standardize_frequency()`	Function to standardize time series frequency label
`standardize_frequency_single()`	Function to standardize time series frequency label
`string_compare()`	Compare two strings, ignoring case and whitespace
`string_detect()`	Detect a pattern in a string, ignoring case
`string_detect_any()`	Detect a pattern in any of a vector of strings
`string_empty()`	Test if String is Empty
`string_not_empty()`	Test if String Not Empty
`string_not_empty_single()`	Test if String Not Empty
`string_which()`	Get index into string where a pattern if found

Reference

All functions