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The load_hospital_beds function specifically focuses on
the CNES - LT (Beds) dataset, part of the National
Register of Health Establishments (CNES). This dataset provides
information on the number of available hospital beds in health
establishments across Brazil (since Out/2005 to present).
The load_hospital_beds function offers the following
parameters:
time_period: a numeric value or vector
indicating the year(s) of the data to be downloaded. For example,
2020 or 2015:2020. (since Out/2005 to
present)
states: a string or vector of strings indicating
the Brazilian state(s) for which the data should be downloaded. Use
"all" to download data for the entire country. For specific
states (valid only for the general dataset), use
abbreviations like "SP" (São Paulo), "RJ" (Rio
de Janeiro), or c("SP", "RJ").
raw_data: Logical, default is
FALSE.
TRUE: If TRUE, returns the raw data exactly as provided
by DATASUS.FALSE: If FALSE (default), returns a cleaned and
standardized version of the dataset.keep_all: A boolean choosing whether to
aggregate the data by municipality, losing individual-level variables
(FALSE) or to keep all original variables
(TRUE). Only applies when raw_data is
FALSE.
language: A string indicating the desired
language of variable names and labels. Accepts "eng"
(default) for English or "pt" for Portuguese (only when
raw_data = FALSE).
Examples:
library(datazoom.saude)
# Download treated data - States of Amazonas and Pará, 2010.
data_beds_full <- load_hospital_beds(
time_period = 2010,
states = c("AM", "PA"),
raw_data = FALSE,
language = "eng"
)
# Download treated data - Brrazil, 2010 to 2022.
# Descriptions in Portuguese.
data_beds_full <- load_hospital_beds(
time_period = 2010:2022,
states = "all",
raw_data = FALSE,
language = "pt"
)
# Download raw data - States of Rio de Janeiro, 2015.
data_beds_raw <- load_hospital_beds(
time_period = 2015,
states = "RJ",
raw_data = TRUE,
language = "eng"
)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.