Package 'robotoolbox' reference manual

Title:	Client for the 'KoboToolbox' API
Description:	Suite of utilities for accessing and manipulating data from the 'KoboToolbox' API. 'KoboToolbox' is a robust platform designed for field data collection in various disciplines. This package aims to simplify the process of fetching and handling data from the API. Detailed documentation for the 'KoboToolbox' API can be found at <https://support.kobotoolbox.org/api.html>.
Authors:	Ahmadou Dicko [aut, cre, cph], Hisham Galal [ctb]
Maintainer:	Ahmadou Dicko <[email protected]>
License:	MIT + file LICENSE
Version:	1.3.8.9005
Built:	2024-11-09 16:24:54 UTC
Source:	https://github.com/dickoa/robotoolbox

Examples of KoboToolbox assets and list of assets

Description

Examples of KoboToolbox assets and list of assets.

Usage

asset_list

asset_ml

asset_rg

asset_spatial

asset_sm_label

asset_audit
asset_list

asset_ml

asset_rg

asset_spatial

asset_sm_label

asset_audit

Format

asset_list: a data.frame of 28 rows and 7 columns with a list of API assets

asset_ml: A kobo_asset object on a survey using multiple languages.

asset_rg: A kobo_asset object on a survey using repeat groups.

asset_spatial: A kobo_asset object on a survey showcasing gps questions.

asset_sm_label: A kobo_asset object to showcase select multiple labels.

asset_audit: A kobo_asset object on a survey with audit logging enabled.

Examples of KoboToolbox submissions data

Description

Examples of KoboToolbox submissions data.

Usage

data_ml_en

data_ml_fr

data_ml_ar

data_ml_default

data_ml_vlabel

data_rg

data_spatial

data_sm

data_sm_label

data_audit
data_ml_en

data_ml_fr

data_ml_ar

data_ml_default

data_ml_vlabel

data_rg

data_spatial

data_sm

data_sm_label

data_audit

Format

data_ml: A data.frame with submissions from asset_ml in English.

data_ml_fr: A data.frame with submissions from asset_ml in French.

data_ml_ar: A data.frame with submissions from asset_ml in Arabic

data_ml_default: A data.frame with submissions from asset_ml with the default language.

data_ml_vlabel: A data.frame with submissions from asset_ml using variable labels as column names.

data_rg: A dm object with submissions from asset_rg

data_spatial: A data.frame with submissions from the asset_spatial KoboToolbox API asset.

data_sm: A data.frame with submissions from asset_sm_label with no labels for the select_multiple question.

data_sm_label: A data.frame with submissions from asset_sm_label with labels for the select_multiple question.

data_audit: A data.frame with submissions from asset_audit.

Get a specific KoboToolbox API asset from a unique identifier

Description

Get a specific KoboToolbox API asset from a unique identifier

Usage

kobo_asset(x)
kobo_asset(x)

Arguments

`x`	the unique identifier of a specific asset (`character`) or a `kobo_asset` object.

Value

A kobo_asset object. It contains all the information about the KoboToolbox API asset associated to the unique identifier.

Examples

## Not run: 
# replace by your own url and token
kobo_setup(url = "https://kf.kobotoolbox.org", token = "abcde")
# use a valid uid
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
asset

## End(Not run)
## Not run: 
# replace by your own url and token
kobo_setup(url = "https://kf.kobotoolbox.org", token = "abcde")
# use a valid uid
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
asset

## End(Not run)

List all uploaded files related to a KoboToolbox API asset

Description

List all uploaded files related to a KoboToolbox API asset

Usage

kobo_asset_file_list(x)
kobo_asset_file_list(x)

Arguments

`x`	the asset uid or the `kobo_asset` object.

Value

A data.frame containing the list of all your KoboToolbox API files under the asset:

uid the asset unique identifier
url url of the files API endpoint
asset url of the files associated asset API endpoint
user the user account of the owner of the asset
user__username when the asset was created
file_type files type either form_media or map_layer
description files description
date_created date when the files were created
content url to download the files
hashmd5 hash of the files
filename names of the files
mimetype mime type of the files

Examples

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
kobo_file_list(uid)

## End(Not run)

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
kobo_file_list(uid)

## End(Not run)

List all available KoboToolbox API assets

Description

List all available KoboToolbox API assets and their metadata.

Usage

kobo_asset_list(limit = 100L)
kobo_asset_list(limit = 100L)

Arguments

limit

integer, the number of API assets to display per page. Default to 100.

Value

A data.frame containing the list of all your KoboToolbox API assets and the following metadata:

uid the asset unique identifier
name the name of the asset
asset_type the type of asset (block, survey, question, or template)
owner_userame the user account of the owner of the asset
date_create when the asset was created
date_modified when the asset was last modified
deployed whether or not the asset is currently deployed
submissions the number of submissions for the asset (survey)

Examples

## Not run: 
kobo_setup()
asset_list <- kobo_asset_list(limit = 10L)
asset_list

## End(Not run)

## Not run: 
kobo_setup()
asset_list <- kobo_asset_list(limit = 10L)
asset_list

## End(Not run)

Get a specific KoboToolbox API asset version from an asset unique identifier

Description

Get a specific KoboToolbox Asset version from an asset unique identifier or kobo_asset object

Usage

kobo_asset_version(x, version)
kobo_asset_version(x, version)

Arguments

`x`	the unique identifier of a specific asset (`character`) or a `kobo_asset` object.
`version`	character, the unique identifier of the version of the asset

Value

A kobo_asset_version object

Examples

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
asset_version_list <- kobo_asset_version_list(asset)
kobo_asset_version(asset, asset_version_list$uid[1])

## End(Not run)

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
asset_version_list <- kobo_asset_version_list(asset)
kobo_asset_version(asset, asset_version_list$uid[1])

## End(Not run)

List all available versions of a KoboToolbox API asset

Description

List all available versions of a KoboToolbox API asset and their metadata.

Usage

kobo_asset_version_list(x)
kobo_asset_version_list(x)

Arguments

`x`	the uid or `kobo_asset` object.

Value

A data.frame containing the list of all the versions of a given KoboToolbox API asset with the following metadata:

uid the asset version unique identifier.
url the URL of the asset version.
deployed whether or not the asset version is deployed
date_modified when the asset version was last modified

a data.frame

Examples

## Not run: 
kobo_setup() # setup using your url and token
uid <- "a9cwEQcbWqWzA5hzkjRUWi" # pick a valid uid
asset <- kobo_asset(uid)
kobo_asset_version_list(asset)

## End(Not run)

## Not run: 
kobo_setup() # setup using your url and token
uid <- "a9cwEQcbWqWzA5hzkjRUWi" # pick a valid uid
asset <- kobo_asset(uid)
kobo_asset_version_list(asset)

## End(Not run)

Download submitted files associatted to KoboToolbox API asset

Description

Download submitted files associatted to a KoboToolbox API asset

Usage

kobo_attachment_download(x, folder, progress, overwrite, n_retry)
kobo_attachment_download(x, folder, progress, overwrite, n_retry)

Arguments

`x`	the asset uid or the `kobo_asset` object.
`folder`	character, the folder where you store the downloaded files. The working directory is the default folder.
`progress`	logical, whether or not you want to see the progess via message. Default to `FALSE`.
`overwrite`	logical, whether or not you want to overwrite existing media files. Default to `FALSE`.
`n_retry`	integer, Number of time you should retry the failed request. Default to 3L.

Value

Silently returns a vector of files paths.

Examples

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
kobo_attachment_download(uid, folder = tempdir())

## End(Not run)

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
kobo_attachment_download(uid, folder = tempdir())

## End(Not run)

Get all audit logs data from a KoboToolbox survey

Description

Get all audit logs data from a KoboToolbox survey through a kobo_asset or asset unique identifier.

Usage

kobo_audit(x, progress)
kobo_audit(x, progress)

Arguments

`x`	the unique identifier of a specific asset (`character`) or a `kobo_asset` object.
`progress`	logical, whether or not you want to see the progess via message. Default to `FALSE`.

Value

A data.frame. It contains survey paradata from audit logs. The following columns are available:

⁠_id⁠ This columns generated by robotoolbox allow you to do a mapping the ⁠_id⁠ of the submissions in kobo_data.
event the action that took place. The different event types include. form start, form exit, question, group questions, end screen, and device or metadata audit.
node the name of the question or group related to the event.
name This column is appended by robotoolbox to match the name of the question in the audit and the data from kobo_data.
start the timestamp when the event started.
end the timestamp when the event ended.
latitude the latitude of the device when the event occurred.
longitude the longitude of the device when the event occurred.
accuracy the GPS accuracy of the location data.
old-value the previous value of the question before it was changed in this event.
new-value the new value of the question after it was changed in this event.
user the username of the data collector.
change-reason the reason before they save changes to a form.

Examples

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzdA5eqkjRUWi"
asset <- kobo_asset(uid)
audit <- kobo_audit(asset)

if (require(dplyr)) {
 library(dplyr)
 glimpse(audit)
 }

## End(Not run)

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzdA5eqkjRUWi"
asset <- kobo_asset(uid)
audit <- kobo_audit(asset)

if (require(dplyr)) {
 library(dplyr)
 glimpse(audit)
 }

## End(Not run)

Get all submissions from a KoboToolbox API asset

Description

Get all submissions from a KoboToolbox API asset through a kobo_asset or asset unique identifier.

Usage

kobo_data(
  x,
  lang,
  all_versions,
  colnames_label,
  select_multiple_label,
  select_multiple_sep,
  progress,
  paginate,
  page_size
)

kobo_submissions(
  x,
  lang,
  all_versions,
  colnames_label,
  select_multiple_label,
  select_multiple_sep,
  progress,
  paginate,
  page_size
)

## S3 method for class 'kobo_asset'
kobo_submissions(
  x,
  lang = NULL,
  all_versions = TRUE,
  colnames_label = FALSE,
  select_multiple_label = FALSE,
  select_multiple_sep = "_",
  progress = FALSE,
  paginate = NULL,
  page_size = NULL
)

## S3 method for class 'character'
kobo_submissions(
  x,
  lang = NULL,
  all_versions = TRUE,
  colnames_label = FALSE,
  select_multiple_label = FALSE,
  select_multiple_sep = "_",
  progress = FALSE,
  paginate = NULL,
  page_size = NULL
)

## Default S3 method:
kobo_submissions(
  x,
  lang = NULL,
  all_versions = TRUE,
  colnames_label = FALSE,
  select_multiple_label = FALSE,
  select_multiple_sep = "_",
  progress = FALSE,
  paginate = NULL,
  page_size = NULL
)
kobo_data(
  x,
  lang,
  all_versions,
  colnames_label,
  select_multiple_label,
  select_multiple_sep,
  progress,
  paginate,
  page_size
)

kobo_submissions(
  x,
  lang,
  all_versions,
  colnames_label,
  select_multiple_label,
  select_multiple_sep,
  progress,
  paginate,
  page_size
)

## S3 method for class 'kobo_asset'
kobo_submissions(
  x,
  lang = NULL,
  all_versions = TRUE,
  colnames_label = FALSE,
  select_multiple_label = FALSE,
  select_multiple_sep = "_",
  progress = FALSE,
  paginate = NULL,
  page_size = NULL
)

## S3 method for class 'character'
kobo_submissions(
  x,
  lang = NULL,
  all_versions = TRUE,
  colnames_label = FALSE,
  select_multiple_label = FALSE,
  select_multiple_sep = "_",
  progress = FALSE,
  paginate = NULL,
  page_size = NULL
)

## Default S3 method:
kobo_submissions(
  x,
  lang = NULL,
  all_versions = TRUE,
  colnames_label = FALSE,
  select_multiple_label = FALSE,
  select_multiple_sep = "_",
  progress = FALSE,
  paginate = NULL,
  page_size = NULL
)

Arguments

`x`	the asset uid or the `kobo_asset` object.
`lang`	character, form language used for the variable and value labels.
`all_versions`	logical, whether or not to include submissions from all form versions. Default to `TRUE`. If `FALSE`, it uses the data from the latest version of the form.
`colnames_label`	logical, whether or not to use variable labels in lieu of column names based on form question names. Default to `FALSE`.
`select_multiple_label`	logical, whether or not to replace select_multiple columns values by labels. Default to `FALSE`.
`select_multiple_sep`	character, column and choices separator for newly created dummy variables. Default to "_".
`progress`	logical, whether or not you want to see the progess via message. Default to `FALSE`.
`paginate`	logical, split submissions by page_size. Default to `NULL`.
`page_size`	integer, number of submissions per page.

Details

kobo_data is the main function of robotoolbox, it is used pull submissions from your Kobotoolbox survey. The main result is a data.frame for regular form and you have a dm for a form with repeating groups of questions.

Value

A data.frame or A dm object if you have a repeating group of questions. It contains the responses from the Kobotoolbox survey.

Examples

## Not run: 
# Use your own URL and token
kobo_setup(url = "https://kf.kobotoolbox.org/",
           token = "9et1814c285w094f6v9bd629df47a1a0e81x53a0")
# Use your own unique identifier
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
subs <- kobo_data(asset)

if (require(dplyr)) {
 library(dplyr)
 glimpse(subs)
 }

## End(Not run)

## Not run: 
# Use your own URL and token
kobo_setup(url = "https://kf.kobotoolbox.org/",
           token = "9et1814c285w094f6v9bd629df47a1a0e81x53a0")
# Use your own unique identifier
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
subs <- kobo_data(asset)

if (require(dplyr)) {
 library(dplyr)
 glimpse(subs)
 }

## End(Not run)

Get a KoboToolbox survey form

Description

Get a KoboToolbox survey form from a kobo_asset or an asset unique identifier.

Usage

kobo_form(x, version)
kobo_form(x, version)

Arguments

`x`	the unique identifier of a specific asset (`character`) or a `kobo_asset` object.
`version`	character, the unique identifier of the version of the asset.

Value

A data.frame with the following columns:

name the name of the survey questions
list_name the name of list of code used for values and labels
type the type of KoboToolbox survey questions
label the label of the questions
lang the languages used in the survey
version the survey version unique identifier
choices a list column with the choices values and labels
kuid the unique identifier of the question
qpath and xpath the path of the question in JSON/XML

You can also have other columns such as relevant, calculation, etc. depending on how you structure for survey form.

Examples

## Not run: 
# Use your own URL and token
kobo_setup(url = "https://kf.kobotoolbox.org/",
           token = "9et1814c285w094f6v9bd629df47a1a0e81x53a0")
# Use your own API asset identifier
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
form <- kobo_form(asset)

## End(Not run)

## Not run: 
# Use your own URL and token
kobo_setup(url = "https://kf.kobotoolbox.org/",
           token = "9et1814c285w094f6v9bd629df47a1a0e81x53a0")
# Use your own API asset identifier
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
form <- kobo_form(asset)

## End(Not run)

Get the languages used in a KoboToolbox survey form

Description

Get the languages used in a KoboToolbox survey form from a kobo_asset or asset unique identifier.

Usage

kobo_lang(x)
kobo_lang(x)

Arguments

`x`	the unique identifier of a specific asset (`character`) or a `kobo_asset` object.

Value

A vector of character. The languages used in the form, it returns "Labels" when no language is set.

Examples

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
lang <- kobo_lang(asset)
lang

## End(Not run)

## Not run: 
kobo_setup()
uid <- "a9cwEQcbWqWzA5hzkjRUWi"
asset <- kobo_asset(uid)
lang <- kobo_lang(asset)
lang

## End(Not run)

Get robotoolbox settings

Description

Print the KoboToolbox server URL and API token currently in use.

Usage

kobo_settings()
kobo_settings()

Value

A list with information about your KoboToolbox server URL and token.

Examples

## Not run: 
 kobo_settings()

## End(Not run)

## Not run: 
 kobo_settings()

## End(Not run)

Set robotoolbox settings

Description

Set the KoboToolbox server URL, API token and return invisibly a kobo_settings object.

Usage

kobo_setup(
  url = Sys.getenv("KOBOTOOLBOX_URL", ""),
  token = Sys.getenv("KOBOTOOLBOX_TOKEN", "")
)
kobo_setup(
  url = Sys.getenv("KOBOTOOLBOX_URL", ""),
  token = Sys.getenv("KOBOTOOLBOX_TOKEN", "")
)

Arguments

`url`	character, the base URL of the KoboToolbox server.
`token`	character, the API token.

Value

A kobo_settings object pritting the server URL and the API token.

Examples

## Not run: 
 # use your own URL and token
 kobo_setup(url = "https://kf.kobotoolbox.org/",
            token = "9et1814c285w094f6v9bd629df47a1a0e81x53a0")
 kobo_settings()

## End(Not run)

## Not run: 
 # use your own URL and token
 kobo_setup(url = "https://kf.kobotoolbox.org/",
            token = "9et1814c285w094f6v9bd629df47a1a0e81x53a0")
 kobo_settings()

## End(Not run)

Get your KoboToolbox API token

Description

Get your KoboToolbox API token from your username and password.

Usage

kobo_token(username = NULL, password = NULL, url = NULL, overwrite = FALSE)
kobo_token(username = NULL, password = NULL, url = NULL, overwrite = FALSE)

Arguments

`username`	character, KoboToolbox account username.
`password`	character, KoboToolbox account password.
`url`	character, KoboToolbox server URL.
`overwrite`	logical, if `TRUE`, it overwrites the existing token. Default to `FALSE`.

Value

A character, the KoboToolbox API token. It also stores, as a side effect, the URL and token as the environment variables KOBOTOOLBOX_URL and KOBOTOOLBOX_TOKEN respectively.

Examples

## Not run: 
# use your own KoboToolbox URL, username and password
if (require(askpass)) {
 token <- kobo_setup(username = "cool_user_name",
                     password = askpass::askpass(),
                     url = "https://kf.kobotoolbox.org/")
 token
 }

## End(Not run)

## Not run: 
# use your own KoboToolbox URL, username and password
if (require(askpass)) {
 token <- kobo_setup(username = "cool_user_name",
                     password = askpass::askpass(),
                     url = "https://kf.kobotoolbox.org/")
 token
 }

## End(Not run)

Package 'robotoolbox'

Help Index

Examples of KoboToolbox assets and list of assets

Description

Usage

Format

Examples of KoboToolbox submissions data

Description

Usage

Format

Get a specific KoboToolbox API asset from a unique identifier

Description

Usage

Arguments

Value

Examples

List all uploaded files related to a KoboToolbox API asset

Description

Usage

Arguments

Value

Examples

List all available KoboToolbox API assets

Description

Usage

Arguments

Value

Examples

Get a specific KoboToolbox API asset version from an asset unique identifier

Description

Usage

Arguments

Value

Examples

List all available versions of a KoboToolbox API asset

Description

Usage

Arguments

Value

Examples

Download submitted files associatted to KoboToolbox API asset

Description

Usage

Arguments

Value

Examples

Get all audit logs data from a KoboToolbox survey

Description

Usage

Arguments

Value

Examples

Get all submissions from a KoboToolbox API asset

Description

Usage

Arguments

Details

Value

Examples

Get a KoboToolbox survey form

Description

Usage

Arguments

Value

Examples

Get the languages used in a KoboToolbox survey form

Description

Usage

Arguments

Value

Examples

Get robotoolbox settings

Description

Usage

Value

Examples

Set robotoolbox settings

Description

Usage

Arguments