Package 'tidyBdE' reference manual

Title:	Download Data from Bank of Spain
Description:	Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Authors:	Diego H. Herrero [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>, rOpenSpain)
Maintainer:	Diego H. Herrero <[email protected]>
License:	GPL (>= 3)
Version:	0.3.7.9000
Built:	2024-11-20 12:48:57 UTC
Source:	https://github.com/rOpenSpain/tidyBdE

Load BdE catalogs

Description

Load the time-series catalogs provided by BdE.

Usage

bde_catalog_load(
  catalog = c("ALL", "BE", "SI", "TC", "TI", "PB"),
  parse_dates = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)
bde_catalog_load(
  catalog = c("ALL", "BE", "SI", "TC", "TI", "PB"),
  parse_dates = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE
)

Arguments

`catalog`	A single value indicating the catalogs to be updated or `"ALL"` as a shorthand. See Details.
`parse_dates`	Logical. If `TRUE` the dates would be parsed using `bde_parse_dates()`.
`cache_dir`	A path to a cache directory. The directory can also be set via options with `options(bde_cache_dir = "path/to/dir")`.
`update_cache`	Logical. If `TRUE` the requested file would be updated on the `cache_dir`.
`verbose`	Logical `TRUE` or `FALSE`, display information useful for debugging.

Details

Accepted values for catalog are:

CODE	PUBLICATION	UPDATE FREQUENCY	FREQUENCY
`"BE"`	Statistical Bulletin	Daily	Monthly
`"SI"`	Summary Indicators	Daily	Daily
`"TC"`	Exchange Rates	Daily	Daily
`"TI"`	Interest Rates	Daily	Daily
`"PB"`	Bank Lending Survey	Quarterly	Quarterly

Use "ALL" as a shorthand for updating all the catalogs at a glance.

If the requested catalog is not cached bde_catalog_update() is invoked.

Value

A tibble object.

Source

Time-series bulk data download.

Examples



bde_catalog_load("TI", verbose = TRUE)


bde_catalog_load("TI", verbose = TRUE)

Search BdE catalogs

Description

Search for keywords on the time-series catalogs.

Usage

bde_catalog_search(pattern, ...)
bde_catalog_search(pattern, ...)

Arguments

pattern

regex pattern to search See Details and Examples.

...

Arguments passed on to bde_catalog_load

catalog: A single value indicating the catalogs to be updated or "ALL" as a shorthand. See Details.
parse_dates: Logical. If TRUE the dates would be parsed using bde_parse_dates().
update_cache: Logical. If TRUE the requested file would be updated on the cache_dir.
cache_dir: A path to a cache directory. The directory can also be set via options with options(bde_cache_dir = "path/to/dir").
verbose: Logical TRUE or FALSE, display information useful for debugging.

Details

Note that BdE files are only provided in Spanish, for the time being. Therefore search terms should be provided in Spanish as well in order to get search results.

This function uses base::grep() function for finding matches on the catalogs. You can pass regular expressions to broaden the search.

Value

A tibble object with the results of the query.

Examples



# Simple search (needs to be in Spanish)
# !! PIB [es] == GDP [en]

bde_catalog_search("PIB")

# More complex - Single
bde_catalog_search("Francia(.*)PIB")

# Even more complex - Double
bde_catalog_search("Francia(.*)PIB|Italia(.*)PIB|Alemania(.*)PIB")


# Search a sequential code: Exact match
# Note that this series (sequential code) appears on several tables

bde_catalog_search("^3779313$")


# Simple search (needs to be in Spanish)
# !! PIB [es] == GDP [en]

bde_catalog_search("PIB")

# More complex - Single
bde_catalog_search("Francia(.*)PIB")

# Even more complex - Double
bde_catalog_search("Francia(.*)PIB|Italia(.*)PIB|Alemania(.*)PIB")


# Search a sequential code: Exact match
# Note that this series (sequential code) appears on several tables

bde_catalog_search("^3779313$")

Update BdE catalogs

Description

Update the time-series catalogs provided by BdE.

Usage

bde_catalog_update(
  catalog = c("ALL", "BE", "SI", "TC", "TI", "PB"),
  cache_dir = NULL,
  verbose = FALSE
)
bde_catalog_update(
  catalog = c("ALL", "BE", "SI", "TC", "TI", "PB"),
  cache_dir = NULL,
  verbose = FALSE
)

Arguments

`catalog`	A vector of characters indicating the catalogs to be updated or `"ALL"` as a shorthand. See Details.
`cache_dir`	A path to a cache directory. The directory can also be set via options with `options(bde_cache_dir = "path/to/dir")`.
`verbose`	Logical `TRUE` or `FALSE`, display information useful for debugging.

Details

Accepted values for catalog are:

CODE	PUBLICATION	UPDATE FREQUENCY	FREQUENCY
`"BE"`	Statistical Bulletin	Daily	Monthly
`"SI"`	Summary Indicators	Daily	Daily
`"TC"`	Exchange Rates	Daily	Daily
`"TI"`	Interest Rates	Daily	Daily
`"PB"`	Bank Lending Survey	Quarterly	Quarterly

Use "ALL" as a shorthand for updating all the catalogs at a glance.

Value

None. Downloads the catalog file(s) to the local machine.

Source

Time-series bulk data download.

Examples



bde_catalog_update("TI", verbose = TRUE)


bde_catalog_update("TI", verbose = TRUE)

Relevant Indicators of Spain

Description

Set of helper functions for downloading some of the most relevant macroeconomic indicators of Spain.

Usage

bde_ind_gdp_var(series_label = "GDP_YoY", ...)

bde_ind_unemployment_rate(series_label = "Unemployment_Rate", ...)

bde_ind_euribor_12m_monthly(series_label = "Euribor_12M_Monthly", ...)

bde_ind_euribor_12m_daily(series_label = "Euribor_12M_Daily", ...)

bde_ind_cpi_var(series_label = "Consumer_price_index_YoY", ...)

bde_ind_ibex_monthly(series_label = "IBEX_index_month", ...)

bde_ind_ibex_daily(series_label = "IBEX_index_day", ...)

bde_ind_gdp_quarterly(series_label = "GDP_quarterly_value", ...)

bde_ind_population(series_label = "Population_Spain", ...)
bde_ind_gdp_var(series_label = "GDP_YoY", ...)

bde_ind_unemployment_rate(series_label = "Unemployment_Rate", ...)

bde_ind_euribor_12m_monthly(series_label = "Euribor_12M_Monthly", ...)

bde_ind_euribor_12m_daily(series_label = "Euribor_12M_Daily", ...)

bde_ind_cpi_var(series_label = "Consumer_price_index_YoY", ...)

bde_ind_ibex_monthly(series_label = "IBEX_index_month", ...)

bde_ind_ibex_daily(series_label = "IBEX_index_day", ...)

bde_ind_gdp_quarterly(series_label = "GDP_quarterly_value", ...)

bde_ind_population(series_label = "Population_Spain", ...)

Arguments

series_label

Optional. Character vector or value. Allows to specify a custom label for the series extracted. It should have the same length than series_code.

...

Arguments passed on to bde_series_load

out_format: Defines if the format must be returned as a "long" dataset or a "wide" dataset. Possible values are "wide" or "long". See Value for Details and Section Examples.
parse_numeric: Logical. If TRUE the columns would be parsed to double (numeric) values. See Note.
extract_metadata: Logical TRUE/FALSE. On TRUE the output is the metadata of the requested series.
parse_dates: Logical. If TRUE the dates would be parsed using bde_parse_dates().
update_cache: Logical. If TRUE the requested file would be updated on the cache_dir.
cache_dir: A path to a cache directory. The directory can also be set via options with options(bde_cache_dir = "path/to/dir").
verbose: Logical TRUE or FALSE, display information useful for debugging.

Details

This functions are convenient wrappers of bde_series_load() referencing specific series. Use ⁠verbose = TRUE, extract_metadata = TRUE⁠ options to see the specification and the source.

Value

A tibble with the required series.

Examples



bde_ind_gdp_var()


bde_ind_gdp_var()

Parse dates

Description

This function is tailored for the date formatting used on this package, so it may fail if it is used for another datasets. See Examples for checking which formats would be considered.

Date Formats

FREQUENCY	FORMAT	EXAMPLES
Daily / Business day	DD MMMMYYYY	02 FEB2019
Monthly	MMM YYYY	MAR 2020
Quarterly	MMM YYYY, where MMM is the first or the last month of the quarter, depending on the value of its variable OBSERVED.	For the first quarter of 2020: ENE 2020, MAR 2020
Half-yearly	MMM YYYY, where MMM is the first or the last month of the halfyear period, depending on the value of its variable OBSERVED.	For the first half of 2020: ENE 2020, JUN 2020
Annual	YYYY	2020

Usage

bde_parse_dates(dates_to_parse)
bde_parse_dates(dates_to_parse)

Arguments

dates_to_parse

Dates to parse

Details

Tries to parse strings representing dates using as.Date()

Value

A Date object.

Examples

# Formats parsed
would_parse <- c(
  "02 FEB2019", "15 ABR 1890", "MAR 2020", "ENE2020",
  "2020", "12-1993", "01-02-2014", "01/02/1990"
)

parsed_ok <- bde_parse_dates(would_parse)

class(parsed_ok)

tibble::tibble(raw = would_parse, parsed = parsed_ok)

#-----------------------------------

# Formats not admitted
wont_parse <- c("JAN2001", "2010-01-12", "01 APR 2017", "01/31/1990")

parsed_fail <- bde_parse_dates(wont_parse)

class(parsed_fail)

tibble::tibble(raw = wont_parse, parsed = parsed_fail)
# Formats parsed
would_parse <- c(
  "02 FEB2019", "15 ABR 1890", "MAR 2020", "ENE2020",
  "2020", "12-1993", "01-02-2014", "01/02/1990"
)

parsed_ok <- bde_parse_dates(would_parse)

class(parsed_ok)

tibble::tibble(raw = would_parse, parsed = parsed_ok)

#-----------------------------------

# Formats not admitted
wont_parse <- c("JAN2001", "2010-01-12", "01 APR 2017", "01/31/1990")

parsed_fail <- bde_parse_dates(wont_parse)

class(parsed_fail)

tibble::tibble(raw = wont_parse, parsed = parsed_fail)

Load BdE full time-series files

Description

Load a full time-series file provided by BdE.

Usage

bde_series_full_load(
  series_csv,
  parse_dates = TRUE,
  parse_numeric = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  extract_metadata = FALSE
)
bde_series_full_load(
  series_csv,
  parse_dates = TRUE,
  parse_numeric = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  extract_metadata = FALSE
)

Arguments

`series_csv`	csv file of a series, as defined in the field `⁠Nombre del archivo con los valores de la serie⁠` of the corresponding catalog. See `bde_catalog_load()`.
`parse_dates`	Logical. If `TRUE` the dates would be parsed using `bde_parse_dates()`.
`parse_numeric`	Logical. If `TRUE` the columns would be parsed to double (numeric) values. See Note.
`cache_dir`	A path to a cache directory. The directory can also be set via options with `options(bde_cache_dir = "path/to/dir")`.
`update_cache`	Logical. If `TRUE` the requested file would be updated on the `cache_dir`.
`verbose`	Logical `TRUE` or `FALSE`, display information useful for debugging.
`extract_metadata`	Logical `TRUE/FALSE`. On `TRUE` the output is the metadata of the requested series.

Details

About BdE file naming

The series name is a positional code showing the location of the table. For example, table be_6_1 represents the Table 1, Chapter 6 of the Statistical Bulletin ("BE"). Although it is a unique value, it is subject to change (i.e. a new table is inserted before).

For that reason, the function bde_series_load() is more suitable for extracting specific time-series.

Value

A tibble with a field Date and the alias of the fields series as described on the catalogs. See bde_catalog_load().

Note

This function tries to coerce the columns to numbers. For some series a warning may be displayed if the parser fails. You can override the default behavior with parse_numeric = FALSE

Examples



# Metadata
bde_series_full_load("TI_1_1.csv", extract_metadata = TRUE)

# Data
bde_series_full_load("TI_1_1.csv")


# Metadata
bde_series_full_load("TI_1_1.csv", extract_metadata = TRUE)

# Data
bde_series_full_load("TI_1_1.csv")

Load a single BdE time-series

Description

The series alias is a positional code showing the location (column and/or row) of the series in the table. However, although it is unique, it is not a good candidate to be used as the series ID, as it is subject to change. If a series changes position in the table, its alias will also change.

To ensure series can still be identified, even after these changes, they are assigned a sequential number (series_code on this function) which will remain unchanged throughout the series' lifetime.

Note that a single series could be used on different tables, so it can have several aliases. If you need to search by alias it is recommended to use bde_series_full_load().

Usage

bde_series_load(
  series_code,
  series_label = NULL,
  out_format = "wide",
  parse_dates = TRUE,
  parse_numeric = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  extract_metadata = FALSE
)
bde_series_load(
  series_code,
  series_label = NULL,
  out_format = "wide",
  parse_dates = TRUE,
  parse_numeric = TRUE,
  cache_dir = NULL,
  update_cache = FALSE,
  verbose = FALSE,
  extract_metadata = FALSE
)

Arguments

`series_code`	a numeric (or coercible with `base::as.double()` value or vector with time-series code(s), as defined in the field `⁠Número secuencial⁠` of the corresponding series. See `bde_catalog_load()`.
`series_label`	Optional. Character vector or value. Allows to specify a custom label for the series extracted. It should have the same length than `series_code`.
`out_format`	Defines if the format must be returned as a "long" dataset or a "wide" dataset. Possible values are `"wide"` or `"long"`. See Value for Details and Section Examples.
`parse_dates`	Logical. If `TRUE` the dates would be parsed using `bde_parse_dates()`.
`parse_numeric`	Logical. If `TRUE` the columns would be parsed to double (numeric) values. See Note.
`cache_dir`	A path to a cache directory. The directory can also be set via options with `options(bde_cache_dir = "path/to/dir")`.
`update_cache`	Logical. If `TRUE` the requested file would be updated on the `cache_dir`.
`verbose`	Logical `TRUE` or `FALSE`, display information useful for debugging.
`extract_metadata`	Logical `TRUE/FALSE`. On `TRUE` the output is the metadata of the requested series.

Details

Load a single time-series provided by BdE.

Value

A tibble with a field Date and :

With out_format = "wide" each series is presented in a separate column with the name defined by series_label.
With out_format = "long" the tibble would have two more columns, serie_name with the labels of each series and serie_value with the value of the series.

"wide" format is more suitable for exporting to a .csv file while "long" format is more suitable for producing plots with ggplot2::ggplot(). See also tidyr::pivot_longer() and tidyr::pivot_wider().

Note

This function tries to coerce the columns to numbers. For some series a warning may be displayed if the parser fails. You can override the default behavior with parse_numeric = FALSE

Examples



# Metadata
bde_series_load(573234, verbose = TRUE, extract_metadata = TRUE)

# Data
bde_series_load(573234, extract_metadata = FALSE)

# Vectorized
bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR"),
  extract_metadata = TRUE
)

wide <- bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR")
)

# Wide format
wide


# Long format
long <- bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR"),
  out_format = "long"
)

long


# Use with ggplot
library(ggplot2)


ggplot(long, aes(Date, serie_value)) +
  geom_line(aes(group = serie_name, color = serie_name)) +
  scale_color_bde_d() +
  theme_tidybde()


# Metadata
bde_series_load(573234, verbose = TRUE, extract_metadata = TRUE)

# Data
bde_series_load(573234, extract_metadata = FALSE)

# Vectorized
bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR"),
  extract_metadata = TRUE
)

wide <- bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR")
)

# Wide format
wide


# Long format
long <- bde_series_load(c(573234, 573214),
  series_label = c("US/EUR", "GBP/EUR"),
  out_format = "long"
)

long


# Use with ggplot
library(ggplot2)


ggplot(long, aes(Date, serie_value)) +
  geom_line(aes(group = serie_name, color = serie_name)) +
  scale_color_bde_d() +
  theme_tidybde()

BdE color palettes

Description

Custom palettes based on the publications of BdE. These are manual palettes with a maximum of 6 colors.

Usage

bde_tidy_palettes(
  n = 6,
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE
)
bde_tidy_palettes(
  n = 6,
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE
)

Arguments

`n`	The number of colors (`⁠>= 1⁠`) to be in the palette.
`palette`	A valid palette name.
`alpha`	An alpha-transparency level in the range `⁠[0,1]⁠` (`0` means transparent and `1` means opaque). A missing, i.e., `alpha = NULL`, does not add opacity codes (`"FF"`) to the individual color hex codes. See `ggplot2::alpha()`.
`rev`	Logical indicating whether the ordering of the colors should be reversed.

Value

A vector of colors.

Examples


# BdE vivid pal
scales::show_col(bde_tidy_palettes(palette = "bde_vivid_pal"),
  labels = FALSE
)

# BdE rose pal
scales::show_col(bde_tidy_palettes(palette = "bde_rose_pal"), labels = FALSE)

# BdE qual pal
scales::show_col(bde_tidy_palettes(palette = "bde_qual_pal"), labels = FALSE)
# BdE vivid pal
scales::show_col(bde_tidy_palettes(palette = "bde_vivid_pal"),
  labels = FALSE
)

# BdE rose pal
scales::show_col(bde_tidy_palettes(palette = "bde_rose_pal"), labels = FALSE)

# BdE qual pal
scales::show_col(bde_tidy_palettes(palette = "bde_qual_pal"), labels = FALSE)

BdE scales for ggplot2

Description

Scales to be used with the ggplot2 package. Discrete palettes are named as ⁠scale_*_bde_d⁠ while continuous palettes are named ⁠scale_*_bde_c⁠.

Usage

scale_color_bde_d(
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  ...
)

scale_fill_bde_d(
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  ...
)

scale_color_bde_c(
  palette = c("bde_rose_pal", "bde_vivid_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  guide = "colorbar",
  ...
)

scale_fill_bde_c(
  palette = c("bde_rose_pal", "bde_vivid_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  guide = "colorbar",
  ...
)
scale_color_bde_d(
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  ...
)

scale_fill_bde_d(
  palette = c("bde_vivid_pal", "bde_rose_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  ...
)

scale_color_bde_c(
  palette = c("bde_rose_pal", "bde_vivid_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  guide = "colorbar",
  ...
)

scale_fill_bde_c(
  palette = c("bde_rose_pal", "bde_vivid_pal", "bde_qual_pal"),
  alpha = NULL,
  rev = FALSE,
  guide = "colorbar",
  ...
)

Arguments

`palette`	Name of the BdE palette to apply. See `bde_tidy_palettes()` for details.
`alpha`	An alpha-transparency level in the range `⁠[0,1]⁠` (`0` means transparent and `1` means opaque). A missing, i.e., `alpha = NULL`, does not add opacity codes (`"FF"`) to the individual color hex codes. See `ggplot2::alpha()`.
`rev`	Logical indicating whether the ordering of the colors should be reversed.
`...`	Further arguments of `ggplot2::discrete_scale()` or `ggplot2::continuous_scale()`.
`guide`	A function used to create a guide or its name. See `guides()` for more information.

Value

A ggplot2 color scale.

Examples

library(ggplot2)

set.seed(596)
txsamp <- subset(
  txhousing,
  city %in% c(
    "Houston", "Fort Worth",
    "San Antonio", "Dallas", "Austin"
  )
)

ggplot(txsamp, aes(x = sales, y = median)) +
  geom_point(aes(colour = city)) +
  scale_color_bde_d() +
  theme_minimal()


ggplot(txsamp, aes(x = sales, y = median)) +
  geom_point(aes(colour = city)) +
  scale_color_bde_d("bde_qual_pal") +
  theme_minimal()

library(ggplot2)

set.seed(596)
txsamp <- subset(
  txhousing,
  city %in% c(
    "Houston", "Fort Worth",
    "San Antonio", "Dallas", "Austin"
  )
)

ggplot(txsamp, aes(x = sales, y = median)) +
  geom_point(aes(colour = city)) +
  scale_color_bde_d() +
  theme_minimal()


ggplot(txsamp, aes(x = sales, y = median)) +
  geom_point(aes(colour = city)) +
  scale_color_bde_d("bde_qual_pal") +
  theme_minimal()

BdE ggplot2 theme

Description

A custom ggplot2 theme based on the publications of BdE.

Usage

theme_tidybde(...)
theme_tidybde(...)

Arguments

...

Arguments passed on to ggplot2::theme_classic

base_size: base font size, given in pts.
base_family: base font family
base_line_size: base size for line elements
base_rect_size: base size for rect elements

Details

Theme based on ggplot2::theme_classic().

Value

A ggplot2 theme().

Examples



library(ggplot2)
library(dplyr)
library(tidyr)

series_TC <- bde_series_full_load("TC_1_1.csv")

# If download was OK then plot
if (nrow(series_TC) > 0) {
  series_TC <- series_TC[c(1, 2)]

  series_TC_pivot <- series_TC %>%
    filter(
      Date >= "2020-01-01" & Date <= "2020-12-31",
      !is.na(series_TC[[2]])
    )

  names(series_TC_pivot) <- c("x", "y")

  ggplot(series_TC_pivot, aes(x = x, y = y)) +
    geom_line(linewidth = 0.8, color = bde_tidy_palettes(n = 1)) +
    labs(
      title = "Title",
      subtitle = "Some metric",
      caption = "Bank of Spain"
    ) +
    theme_tidybde()
}


library(ggplot2)
library(dplyr)
library(tidyr)

series_TC <- bde_series_full_load("TC_1_1.csv")

# If download was OK then plot
if (nrow(series_TC) > 0) {
  series_TC <- series_TC[c(1, 2)]

  series_TC_pivot <- series_TC %>%
    filter(
      Date >= "2020-01-01" & Date <= "2020-12-31",
      !is.na(series_TC[[2]])
    )

  names(series_TC_pivot) <- c("x", "y")

  ggplot(series_TC_pivot, aes(x = x, y = y)) +
    geom_line(linewidth = 0.8, color = bde_tidy_palettes(n = 1)) +
    labs(
      title = "Title",
      subtitle = "Some metric",
      caption = "Bank of Spain"
    ) +
    theme_tidybde()
}

Package 'tidyBdE'

Help Index

Load BdE catalogs

Description

Usage

Arguments

Details

Value

Source

See Also

Examples

Search BdE catalogs

Description

Usage

Arguments

Details

Value

See Also

Examples

Update BdE catalogs

Description

Usage

Arguments

Details

Value

Source

See Also

Examples

Relevant Indicators of Spain

Description

Usage

Arguments

Details

Value

See Also

Examples

Parse dates

Description

Date Formats

Usage

Arguments

Details

Value

See Also

Examples

Load BdE full time-series files

Description

Usage

Arguments

Details

About BdE file naming

Value

Note

See Also

Examples

Load a single BdE time-series

Description

Usage

Arguments

Details

Value

Note

See Also

Examples

BdE color palettes

Description

Usage

Arguments

Value

See Also

Examples

BdE scales for ggplot2

Description

Usage

Arguments

Value

See Also

Examples

BdE ggplot2 theme

Description