get.CME.UI.data: Return different format of the final aggregate results...

Description Usage Arguments Value Examples

View source: R/1.data_engineering.R

Description

'get.CME.UI.data' can read in "Rates & Deaths_Country Summary.csv" for any indicators published so far and include Sex, Quantile in the output. A pre-saved list of summary.csv files directories could be obtained by load.final_dir. Output dataset in either long, wide year, wide indicator, or wide 'get' (one column for rate and one column for death)

Usage

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get.CME.UI.data(
  dir_file = NULL,
  c_iso = NULL,
  year_range = c(1990:2019),
  get = "both",
  idvars = c("OfficialName", "ISO3Code"),
  sex = NULL,
  format = "long",
  round_digit = 1L,
  use_IGME_year = 2020,
  quantile = TRUE
)

Arguments

dir_file

allow a different dataset to be read: directory to aggregate final

c_iso

country iso, if NULL, returns all isos, default to NULL

year_range

a vector of years, default to 1990: 2019

get

default to "rate". Choose among "rate", "death", or "both"

idvars

default to "'OfficialName', 'ISO3Code'", what id vars you want to include

sex

Sex column value: Total, Female or Male, if left as NULL as default will be determined from directory of 'dir_file'

format

Choose format among raw, long, wide_year, wide_ind, and wide_get, default to "long". All the wide-format just 'dcasts' the long-format data, wide_get means two columns: rate and death

round_digit

digits to round estimates, default to 1

use_IGME_year

load the saved IGME final aggregated results (final): 2019 or 2020

quantile

TRUE: return upper, median, lower; FALSE: only median

Value

a data.table

Examples

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dt_1 <- get.CME.UI.data(use_IGME_year = 2020, format = "wide_year")
dt_2 <- get.CME.UI.data(format = "wide_ind")

unicef-drp/CME.assistant documentation built on Dec. 22, 2020, 7:16 p.m.