Downloads datasets you have access to from the DHS website

get_datasets(
  dataset_filenames,
  download_option = "rds",
  reformat = FALSE,
  all_lower = TRUE,
  output_dir_root = NULL,
  clear_cache = FALSE,
  ...
)

Arguments

dataset_filenames

The desired filenames to be downloaded. These can be found as one of the returned fields from dhs_datasets. Alternatively you can also pass the desired rows from codedhs_datasets.

download_option

Character specifying whether the dataset should be just downloaded ("zip"), imported and saved as an .rds object ("rds"), or both extract and rds ("both"). Conveniently you can just specify any letter from these options.

reformat

Boolean concerning whether to reformat read in datasets by removing all factors and labels. Default = FALSE.

all_lower

Logical indicating whether all value labels should be lower case. Default to `TRUE`.

output_dir_root

Root directory where the datasets will be stored within. The default will download datasets to a subfolder of the client root called "datasets"

clear_cache

Should your available datasets cache be cleared first. This will allow newly accessed datasets to be available. Default = `FALSE`

...

Any other arguments to be passed to read_dhs_dataset

Value

Depends on the download_option requested, but ultimately it is a file path to where the dataset was downloaded to, so that you can interact with it accordingly.

Details

Gets datasets from your cache or downloads from the DHS website. By providing the filenames, as specified in one of the returned fields from dhs_datasets, the client will log in for you and download all the files you have requested. If any of the requested files are unavailable for your log in, these will be flagged up first as a message so you can make a note and request them through the DHS website. You also have the option to control whether the downloaded zip file is then extracted and converted into a more convenient R data.frame. This converted object will then be subsequently saved as a ".rds" object within the client root directory datasets folder, which can then be more quickly loaded when needed with readRDS. You also have the option to reformat the dataset, which will ensure that the datasets returned are encoded simply as character strings, i.e. there are no factors or labels.

Examples

if (FALSE) { # get the model datasets included with the package model_datasets <- model_datasets # download one of them g <- get_datasets(dataset_filenames = model_datasets$FileName[1]) }