Sets the configuration settings for using rdhs.

set_rdhs_config(
  email = NULL,
  project = NULL,
  cache_path = NULL,
  config_path = NULL,
  global = TRUE,
  verbose_download = FALSE,
  verbose_setup = TRUE,
  data_frame = NULL,
  timeout = 30,
  password_prompt = FALSE,
  prompt = TRUE
)

Arguments

email

Character for email used to login to the DHS website.

project

Character for the name of the DHS project from which datasets should be downloaded.

cache_path

Character for directory path where datasets and API calls will be cached. If left bank, a suitable directory will be created within your user cache directory for your operating system (permission granting).

config_path

Character for where the config file should be saved. For a global configuration, `config_path` must be '~/.rdhs.json'. For a local configuration, `config_path` must be 'rdhs.json'. If left bank, the config file will be stored within your user cache directory for your operating system (permission granting).

global

Logical for the config_path to be interpreted as a global config path or a local one. Default = TRUE.

verbose_download

Logical for dataset download progress bars to be shown. Default = FALSE.

verbose_setup

Logical for rdhs setup and messages to be printed. Default = TRUE.

data_frame

Function with which to convert API calls into. If left blank data_frame objects are returned. Must be passed as a character. Examples could be: data.table::as.data.table tibble::as.tibble

timeout

Numeric for how long in seconds to wait for the DHS API to respond. Default = 30.

password_prompt

Logical whether user is asked to type their password, even if they have previously set it. Default = FALSE. Set to TRUE if you have mistyped your password when using set_rdhs_config.

prompt

Logical for whether the user should be prompted for permission to write to files. This should not need be changed by the user. Default = TRUE.

Value

Invisibly returns the rdhs config object

Details

Setting up a configuration will enable API results to be cached, as well as enabling datasets from the DHS website to be downloaded and also cached. To enable results to be cached you have to either provide a valid `cache_path` argument, or allow rdhs to write to the user cache directory for your operating system. To do the later, leave the `cache_path` argument blank and you will be explicitly prompted to give permission to `rdhs` to save your results in this directory. If you do not then your API calls and any downloaded datasets will be saved in the temp directory and deleted after your R session closes. To allow `rdhs` to download datasets from the DHS website, you have to provide both an `email` and `project` argument. You will then be prompted to type in your login password securely. Your provided config (email, project, password, cache_path etc) will be saved at the location provided by `config_path`. If no argument is provided `config_path` will be either set to within your user cache directory if you have given permission to do so, otherwise it will be placed within your temp directory.

When creating your config you also have the option to specify whether the `config_path` provided should be used as a local configuration or a global one. This is controlled using the `global` argument, which by default is set equal to `TRUE`. A global config is saved within your R root directory (the directory that a new R session will start in). If you set `global` to `FALSE` the config file will be saved within the current directory. This can be useful if you create a new DHS project for each new piece of work, and want to keep the datasets you download for this project separate to another. If you want to have your config file saved in a different directory, then you must create a file "rdhs.json" first in that directory before specifying the full path to it, as well as setting `global` equal to `FALSE`.

As an aside, it is useful for the DHS program to see how the surveys they conducted are being used, and thus it is helpful for them if you do create a new project for each new piece of work (e.g. a different publication). However, we would still recommend setting up a global config and using the same `cache_path` for different projects as this will save you time downloading the same datasets as you have downloaded before.

Lastly, you can decide how API calls from the DHS API are formatted by providing an argument for `data_frame`. If left blank API calls will be returned as `data.frame` objects, however, you could return API calls as `data.table` objects using `data.table::as.data.table`.

Examples

if (FALSE) { # normal set up we would prvide the email and project, and be prompted for # the password. (not run as it requires a prompt) set_rdhs_config(email = "[email protected]", project = "Blahs", config_path = "rdhs.json", global = FALSE) # otherwise we can do this by specifying prompt to FALSE set_rdhs_config( config_path = "rdhs.json", global = FALSE, prompt = FALSE ) # you can look at what you have set these to using \code{get_rdhs_config} config <- get_rdhs_config() }