Package 'odkr' reference manual

Title:	'Open Data Kit' ('ODK') R API
Description:	Utility functions for working with datasets gathered using 'Open Data Kit' ('ODK') <https://opendatakit.org/>. These include an API to interface with 'ODK Briefcase', a 'Java' application for fetching and pushing 'ODK' forms and their contents, that allows pulling of data from either a remote 'ODK Aggregate Server' or a local 'ODK' folder, a rename function to give more human readable variable names for 'ODK' datasets, a merge function to create a single dataframe from a nested 'ODK' dataset and an expand function to disaggregate multiple choice answers that have been collapsed into single code by 'ODK'.
Authors:	Ernest Guevarra [aut, cre, cph] , Laura Bramley [aut, cph], Jeffrey W. Rozelle [ctb]
Maintainer:	Ernest Guevarra <[email protected]>
License:	GPL-3
Version:	0.3.3.9000
Built:	2025-01-08 03:27:33 UTC
Source:	https://github.com/rapidsurveys/odkr

Function to create an ODK Briefcase Storage directory

Description

Function to create an ODK Briefcase Storage directory

Usage

create_sd(path)
create_sd(path)

Arguments

path

Directory path on which to create the ODK Briefcase Storage

Value

ODK Briefcase Storage directory in the specified path

Examples

create_sd(path = tempdir())

create_sd(path = tempdir())

Function to expand response to a more than one answer multiple choice question coded as a concatenated string

Description

Function to expand response to a more than one answer multiple choice question coded as a concatenated string

Usage

expand_choice(
  df,
  x,
  values,
  pattern = "",
  prefix = x,
  labels = values,
  sep = "."
)
expand_choice(
  df,
  x,
  values,
  pattern = "",
  prefix = x,
  labels = values,
  sep = "."
)

Arguments

`df`	A dataframe containing the vector data that requires expansion.
`x`	Name of variable in `df` containing vector needing expansion.
`values`	Vector of string values used to create concatenated string response.
`pattern`	Pattern used to separate values in the concatenated string. Default is "" for concatenated strings with no separator.
`prefix`	Prefix to names of newly created variables.
`labels`	Vector of names to use for columns of resulting data.frame. If not specified, columns are named using `values`.
`sep`	Charater to separate `prefix` from `labels` in the names of newly created variables.

Value

A data.frame with same rows as df containing columns corresponding to each newly created variable.

Examples

## Not run: 
expandMultipleChoice(df = individual,
                     x = "mddw1",
                     values = as.character(0:18),
                     pattern = " ",
                     prefix = "mddw",
                     sep = "")

## End(Not run)

## Not run: 
expandMultipleChoice(df = individual,
                     x = "mddw1",
                     values = as.character(0:18),
                     pattern = " ",
                     prefix = "mddw",
                     sep = "")

## End(Not run)

Function to recode a choose-multiple column where multiple answers are recorded in the same element (e.g. "ab ac ad", "ef eg eh") to a data frame with multiple separate 0/1 columns e.g.:

Description

  ab  ac  ad  ef  eg  eh
   1   1   1   0   0   0
   0   0   0   1   1   1

Usage

expandMultChoice(answers, choices = NULL, naCode = NULL, naQuestion = NULL)
expandMultChoice(answers, choices = NULL, naCode = NULL, naQuestion = NULL)

Arguments

`answers`	Character vector with given answers (strings containing the choices)
`choices`	(optional) Character vector with choices to be used (each will become a column). If not supplied, choices will be determined from the `answer` parameter, splitting given answers by an empty space `(" ")` and finding unique values.
`naCode`	(optional) Single element specifying what character code equates to `NA`
`naQuestion`	(optional) TRUE/FALSE vector of the same length as answers; in rows where this is false, all columns will be coded as `NA`

Value

a data frame with multiple separate 0/1 columns

NOTE

naCode must exist as the only answer in a column (an answer that contains both a valid answer and the NA code will not be recognized as NA - instead, the NA code will be output as an extra answer column (if choices parameter is not given))

Examples

# Expand responses in variable w7 of sampleData2
sampleData2 <- renameODK(sampleData2)
temp <- expandMultChoice(sampleData2$ws7)

# Expand responses in variable w7 of sampleData2
sampleData2 <- renameODK(sampleData2)
temp <- expandMultChoice(sampleData2$ws7)

Export data in CSV format from local ODK Briefcase Storage directory to a specified destination directory and a specified file name

Description

Export data in CSV format from local ODK Briefcase Storage directory to a specified destination directory and a specified file name

Usage

export_data(
  target = "",
  briefcase = "odkBriefcase_latest",
  sd = FALSE,
  id = "",
  from = "",
  to = "",
  filename = paste(id, "_data.csv", sep = ""),
  start = NULL,
  end = NULL,
  overwrite = FALSE,
  exclude = TRUE,
  group.names = TRUE,
  split = FALSE,
  pem = NULL,
  pullBefore = FALSE,
  includeGeo = FALSE
)
export_data(
  target = "",
  briefcase = "odkBriefcase_latest",
  sd = FALSE,
  id = "",
  from = "",
  to = "",
  filename = paste(id, "_data.csv", sep = ""),
  start = NULL,
  end = NULL,
  overwrite = FALSE,
  exclude = TRUE,
  group.names = TRUE,
  split = FALSE,
  pem = NULL,
  pullBefore = FALSE,
  includeGeo = FALSE
)

Arguments

`target`	Path to directory of ODK Briefcase `.jar` file. Directory path should match directory path used when calling `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, `target` should match the directory path where `.jar` file has been downloaded into.
`briefcase`	Filename of the downloaded ODK Briefcase `.jar` file. Default is `odkBriefcase_latest` to match the default filename used by `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, filename should match the default filename used by Open Data Kit which is usually "ODK Briefcase vX.Y.Z Production.jar" where vX.Y.Z is the version number
`sd`	Logical. If TRUE, create an ODK Briefcase Storage in the path specified by `to`. Default is FALSE.
`id`	Form ID of form to be pulled
`from`	Path to source ODK Briefcase Storage from which to extract data. This should match directory path specified when making a call to `pull_remote()` or `pull_local()`
`to`	Destination directory to save output data file
`filename`	Filename of output CSV data; default is `paste(id, "_data.csv", sep = "")`
`start`	Include data from submission dates after (inclusive) this start date in export to CSV. Date format YYYY-MM-DD or YYYY/MM/DD
`end`	Include data from submission dates before (inclusive) this date in export to CSV. Date format YYYY-MM-DD> or YYYY/MM/DD
`overwrite`	Overwrite existing output data in destination directory with the same filename; default is FALSE
`exclude`	Exclude media files on export; default is TRUE
`group.names`	Logical. Should group names be removed from column names on export? Default TRUE.
`split`	Logical. Should select multiple fields be split on export? Default FALSE.
`pem`	Path to pem key if using an encrypted form. Null by default.
`pullBefore`	Logical. If set to true, pull before export. Default FALSE.
`includeGeo`	Logical. If set to true, pull geojson. Default FALSE.

Value

CSV file in destination directory containing data from the pulled forms

Examples

# Export data from a specified ODK Briefcase Storage directory to current
# working directory with a filename called "test.csv"
## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  export_data(target = dirPath,
              from = dirPath,
              to = dirPath,
              id = "stakeholders",
              filename = "test.csv",
              overwrite = TRUE)

## End(Not run)

# Export data from a specified ODK Briefcase Storage directory to current
# working directory with a filename called "test.csv"
## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  export_data(target = dirPath,
              from = dirPath,
              to = dirPath,
              id = "stakeholders",
              filename = "test.csv",
              overwrite = TRUE)

## End(Not run)

Updates pre-installed ODK Briefcase `jar` file to the latest version downloaded from https://opendatakit.org.

Description

Updates pre-installed ODK Briefcase jar file to the latest version downloaded from https://opendatakit.org.

Usage

get_briefcase(destination = "", briefcase = "odkBriefcase_latest")
get_briefcase(destination = "", briefcase = "odkBriefcase_latest")

Arguments

`destination`	Path to directory where ODK Briefcase `.jar` file will be downloaded into
`briefcase`	Filename of the downloaded ODK Briefcase `.jar` file. Default is `"odkBriefcase_latest"`

Examples

  # Get latest version of ODK Briefcase and save in a temporary directory
    ## Not run: 
      dirPath <- tempdir()
      get_briefcase(destination = dirPath)
    
## End(Not run)
# Get latest version of ODK Briefcase and save in a temporary directory
    ## Not run: 
      dirPath <- tempdir()
      get_briefcase(destination = dirPath)
    
## End(Not run)

Get help with command line interface for ODK Briefcase

Description

Get help with command line interface for ODK Briefcase

Usage

get_help(target = "", briefcase = "odkBriefcase_latest")
get_help(target = "", briefcase = "odkBriefcase_latest")

Arguments

`target`	Path to directory of ODK Briefcase `.jar` file. Directory path should match directory path used when calling `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, `target` should match the directory path where `.jar` file has been downloaded into.
`briefcase`	Filename of the downloaded ODK Briefcase `.jar` file. Default is `odkBriefcase_latest` to match the default filename used by `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, filename should match the default filename used by Open Data Kit which is usually "ODK Briefcase vX.Y.Z Production.jar" where vX.Y.Z is the version number

Value

Help notes on usage of ODK Briefcase via command line interface

Examples

## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  get_help(target = dirPath)

## End(Not run)

## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  get_help(target = dirPath)

## End(Not run)

Retrieve parent data, matching to a nested (child) dataset by keys of a nested dataset exported from an ODK Aggregate Server.

Description

Retrieve parent data, matching to a nested (child) dataset by keys of a nested dataset exported from an ODK Aggregate Server.

Usage

mergeNestedODK(
  parent,
  child,
  byPARENT_KEY = TRUE,
  removeCols = NULL,
  removeRows = NULL
)
mergeNestedODK(
  parent,
  child,
  byPARENT_KEY = TRUE,
  removeCols = NULL,
  removeRows = NULL
)

Arguments

`parent`	Data frame of household data
`child`	Data frame of child (repeat) data
`byPARENT_KEY`	Should data frames be matched based on PARENT_KEY (child) and KEY (parent) columns? (Currently only option is TRUE)
`removeCols`	Character vector of column names to remove from the parent data frame (optional)
`removeRows`	Index of which rows should be removed from child data frame (optional)

Value

Merged dataframe

Examples

# merge sampleData2 and sampleData3
x <- renameODK(sampleData2)
y <- renameODK(sampleData3)
temp <- mergeNestedODK(parent = x, child = y, byPARENT_KEY = FALSE)

# merge sampleData2 and sampleData3
x <- renameODK(sampleData2)
y <- renameODK(sampleData3)
temp <- mergeNestedODK(parent = x, child = y, byPARENT_KEY = FALSE)

Pull ODK forms from a local ODK folder (`/odk`) collected from ODK Collect mobile clients

Description

Pull ODK forms from a local ODK folder (/odk) collected from ODK Collect mobile clients

Usage

pull_local(
  target = "",
  briefcase = "odkBriefcase_latest",
  id = "",
  to = "",
  from = "",
  pem = NULL
)
pull_local(
  target = "",
  briefcase = "odkBriefcase_latest",
  id = "",
  to = "",
  from = "",
  pem = NULL
)

Arguments

`target`	Path to directory of ODK Briefcase `.jar` file. Directory path should match directory path used when calling `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, `target` should match the directory path where `.jar` file has been downloaded into.
`briefcase`	Filename of the downloaded ODK Briefcase `.jar` file. Default is `odkBriefcase_latest` to match the default filename used by `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, filename should match the default filename used by Open Data Kit which is usually "ODK Briefcase vX.Y.Z Production.jar" where vX.Y.Z is the version number
`id`	Form ID of form to be pulled
`to`	Destination directory for pulled ODK forms
`from`	Source ODK directory (`/odk`) from ODK Collect mobile client
`pem`	If form to be pulled is encrypted, a PEM private key file would be required to pull forms; default is NULL; if form is encrypted, provide path to PEM file

Value

Folder in destination directory named ODK Briefcase Storage containing forms pulled from local ODK folder

Examples

# Pull forms from a local ODK folder to current working directory
## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  pull_local(target = dirPath,
             id = "stakeholders",
             from = system.file("odk", package = "odkr"),
             to = dirPath)

## End(Not run)

# Pull forms from a local ODK folder to current working directory
## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  pull_local(target = dirPath,
             id = "stakeholders",
             from = system.file("odk", package = "odkr"),
             to = dirPath)

## End(Not run)

Pull ODK forms from remote ODK Aggregate via ODK Briefcase

Description

Pull ODK forms from remote ODK Aggregate via ODK Briefcase

Usage

pull_remote(
  target = "",
  briefcase = "odkBriefcase_latest",
  sd = FALSE,
  id = "",
  to = "",
  from = "",
  include_incomplete = FALSE,
  max_http_connections = NULL,
  username,
  password
)
pull_remote(
  target = "",
  briefcase = "odkBriefcase_latest",
  sd = FALSE,
  id = "",
  to = "",
  from = "",
  include_incomplete = FALSE,
  max_http_connections = NULL,
  username,
  password
)

Arguments

`target`	Path to directory of ODK Briefcase `.jar` file. Directory path should match directory path used when calling `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, `target` should match the directory path where `.jar` file has been downloaded into.
`briefcase`	Filename of the downloaded ODK Briefcase `.jar` file. Default is `odkBriefcase_latest` to match the default filename used by `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, filename should match the default filename used by Open Data Kit which is usually "ODK Briefcase vX.Y.Z Production.jar" where vX.Y.Z is the version number
`sd`	Logical. If TRUE, create an ODK Briefcase Storage in the path specified by `to`. Default is FALSE.
`id`	Form ID of form to be pulled
`to`	Destination directory for pulled ODK forms
`from`	URL of remote ODK Aggregate server to pull ODK forms data from
`include_incomplete`	Logical. Should incomplete forms be pulled? Default to FALSE
`max_http_connections`	Integer value for maximum simultaneous HTTP connections allowed. Defaults to NULL which will allow for the default 8 simultaneous HTTP connections. Specify this parameter if more simultaneous connections are required. Maximum value is 32.
`username`	Username for account in remote ODK Aggregate server from which forms are to be pulled
`password`	Password for account in remote ODK Aggregate server from which forms are to be pulled

Value

Folder in destination directory named "ODK Briefcase Storage" containing forms pulled from remote ODK Aggregate server

Examples

  # Use latest ODK Briefcase and connect to a test
  # remote ODK Aggregate server from ONA (https://ona.io); pulled forms to
  # be saved in default location at current working directory
  ## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  pull_remote(target = dirPath,
              id = "stakeholders",
              from = "https://ona.io/validtrial",
              to = dirPath,
              username = "validtrial",
              password = "zEF-STN-5ze-qom")
  
## End(Not run)

# Use latest ODK Briefcase and connect to a test
  # remote ODK Aggregate server from ONA (https://ona.io); pulled forms to
  # be saved in default location at current working directory
  ## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  pull_remote(target = dirPath,
              id = "stakeholders",
              from = "https://ona.io/validtrial",
              to = dirPath,
              username = "validtrial",
              password = "zEF-STN-5ze-qom")
  
## End(Not run)

Push ODK forms from local ODK Briefcase Storage folder to remote ODK Aggregate via ODK Briefcase

Description

Push ODK forms from local ODK Briefcase Storage folder to remote ODK Aggregate via ODK Briefcase

Usage

push_data(
  target = "",
  briefcase = "odkBriefcase_latest",
  id = "",
  to = "",
  from = "",
  force_send_blank = FALSE,
  max_http_connections = NULL,
  username,
  password
)
push_data(
  target = "",
  briefcase = "odkBriefcase_latest",
  id = "",
  to = "",
  from = "",
  force_send_blank = FALSE,
  max_http_connections = NULL,
  username,
  password
)

Arguments

`target`	Path to directory of ODK Briefcase `.jar` file. Directory path should match directory path used when calling `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, `target` should match the directory path where `.jar` file has been downloaded into.
`briefcase`	Filename of the downloaded ODK Briefcase `.jar` file. Default is `odkBriefcase_latest` to match the default filename used by `get_briefcase()`. If ODK Briefcase `.jar` file was downloaded manually from https://opendatakit.org, filename should match the default filename used by Open Data Kit which is usually "ODK Briefcase vX.Y.Z Production.jar" where vX.Y.Z is the version number
`id`	Form ID of form to push ODK forms data into
`to`	URL of remote ODK Aggregate server
`from`	Directory containing ODK forms data to push to remote ODK aggregate server
`force_send_blank`	Logical. Should blank form be forced into the Aggregate instance
`max_http_connections`	Integer value for maximum simultaneous HTTP connections allowed. Defaults to NULL which will allow for the default 8 simultaneous HTTP connections. Specify this parameter if more simultaneous connection required
`username`	Username for account in remote ODK Aggregate server from which forms are to be pulled
`password`	Password for account in remote ODK Aggregate server from which forms are to be pulled

Examples

  # Use latest ODK Briefcase and connect to a test
  # remote ODK Aggregate server from ONA (https://ona.io) to push ODK forms
  # data into
  ## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  push_data(target = dirPath,
            id = "stakeholders",
            to = "https://ona.io/validtrial",
            from = dirPath,
            username = "validtrial",
            password = "zEF-STN-5ze-qom")
  
## End(Not run)

# Use latest ODK Briefcase and connect to a test
  # remote ODK Aggregate server from ONA (https://ona.io) to push ODK forms
  # data into
  ## Not run: 
  dirPath <- tempdir()
  get_briefcase(destination = dirPath)
  push_data(target = dirPath,
            id = "stakeholders",
            to = "https://ona.io/validtrial",
            from = dirPath,
            username = "validtrial",
            password = "zEF-STN-5ze-qom")
  
## End(Not run)

Rename column names of data exported from an ODK Aggregate Server or from ODK Briefcase into more usable and human readable variable names.

Description

Rename column names of data exported from an ODK Aggregate Server or from ODK Briefcase into more usable and human readable variable names.

Usage

renameODK(data, sep = c(".", "-"))
renameODK(data, sep = c(".", "-"))

Arguments

`data`	Dataframe object of dataset exported from ODK Aggregate Server or from local ODK directory
`sep`	Character value for separator used in variable names. Choices are "." or "-". Default is ".".

Value

Data frame object with renamed variables

Examples

# Rename sampleData1 dataset to remove '.' from variable names
names(sampleData1)
renameODK(sampleData1)
names(sampleData1)

# Rename sampleData2 dataset
names(sampleData2)
renameODK(sampleData2)
names(sampleData2)

# Rename sampleData3 dataset
names(sampleData3)
renameODK(sampleData3)
names(sampleData3)

# Rename sampleData1 dataset to remove '.' from variable names
names(sampleData1)
renameODK(sampleData1)
names(sampleData1)

# Rename sampleData2 dataset
names(sampleData2)
renameODK(sampleData2)
names(sampleData2)

# Rename sampleData3 dataset
names(sampleData3)
renameODK(sampleData3)
names(sampleData3)

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains cluster level data from the survey.

Description

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains cluster level data from the survey.

Usage

sampleData1
sampleData1

Format

A data frame with 16 columns and 50 rows:

admin.admin1.adm1: Date of survey
admin.admin1.adm2: Enumerator ID
admin.enameA: Name of enumerator (Arabic)
admin.ename: Name of enumerator (English)
admin.admin2.adm3: Survey round number
admin.admin2.adm4: Study area / cluster
location.loc1: Village ID
location.loc1a: Village ID - other
location.loc2: Is village a replacement village
location.loc3: Village population
location.loc4: GPS coordinates
hh1: Household ID
hh2: Number of women aged 15-49 in household
wcount_count: Current woman respondent's ID
KEY: Parent data identifier
PARENT_KEY: Child data identifier

Examples

sampleData1

sampleData1

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from mother respondents.

Description

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from mother respondents.

Usage

sampleData2
sampleData2

Format

A data frame with 16 columns and 50 rows:

wcount.wdata.women.wage: Mother's age
wcount.wdata.women.wmarried: Is mother married?
wcount.wdata.women.wpregnant: Is mother pregnant?
wcount.wdata.women.wedu1: Mother - number of years of formal education
wcount.wdata.women.wedu2: Mother - highest educational attainment
wcount.wdata.women.wanthro: Mother's middle upper arm circumference (mm)
wcount.wdata.women.screening: Has mother's MUAC and oedema been measured/tested in past month
wcount.wdata.wash.ws1: Source of drinking water
wcount.wdata.wash.ws2: Water treatment
wcount.wdata.wash.ws3: Sanitation facility
wcount.wdata.wash.ws4: Is sanitation facility shared with other households?
wcount.wdata.wash.ws5: Is sanitation facility used by public
wcount.wdata.wash.ws6: Sanitary disposal of child's faeces
wcount.wdata.wash.ws7: Episodes when handwashing is done
KEY: Parent data identifier
PARENT_KEY: Child data identifier

Examples

sampleData2

sampleData2

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from child respondents.

Description

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from child respondents.

Usage

sampleData3
sampleData3

Format

A data frame with 9 columns and 50 rows:

wcount.wdata.ccount.child.csex: Child's gender
wcount.wdata.ccount.child.card: Does child have an immunisation card?
wcount.wdata.ccount.child.cdob: Child's date of birth
wcount.wdata.ccount.child.cage: Age of child
wcount.wdata.ccount.illness.ill1: Has child had diarrhoea in the past 2 weeks
wcount.wdata.ccount.illness.ill2: Has child had fever in the past 2 weeks
wcount.wdata.ccount.illness.ill3: Has child had cough in the past 2 weeks
KEY: Parent data identifier
PARENT_KEY: Child data identifier

Examples

sampleData3

sampleData3

Package 'odkr'

Help Index

Function to create an ODK Briefcase Storage directory

Description

Usage

Arguments

Value

Examples

Function to expand response to a more than one answer multiple choice question coded as a concatenated string

Description

Usage

Arguments

Value

Examples

Function to recode a choose-multiple column where multiple answers are recorded in the same element (e.g. "ab ac ad", "ef eg eh") to a data frame with multiple separate 0/1 columns e.g.:

Description

Usage

Arguments

Value

NOTE

Examples

Export data in CSV format from local ODK Briefcase Storage directory to a specified destination directory and a specified file name

Description

Usage

Arguments

Value

Examples

Updates pre-installed ODK Briefcase jar file to the latest version downloaded from https://opendatakit.org.

Description

Usage

Arguments

Examples

Get help with command line interface for ODK Briefcase

Description

Usage

Arguments

Value

Examples

Retrieve parent data, matching to a nested (child) dataset by keys of a nested dataset exported from an ODK Aggregate Server.

Description

Usage

Arguments

Value

Examples

Pull ODK forms from a local ODK folder (/odk) collected from ODK Collect mobile clients

Description

Usage

Arguments

Value

Examples

Pull ODK forms from remote ODK Aggregate via ODK Briefcase

Description

Usage

Arguments

Value

Examples

Push ODK forms from local ODK Briefcase Storage folder to remote ODK Aggregate via ODK Briefcase

Description

Usage

Arguments

Examples

Rename column names of data exported from an ODK Aggregate Server or from ODK Briefcase into more usable and human readable variable names.

Description

Usage

Arguments

Value

Examples

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains cluster level data from the survey.

Description

Usage

Format

Examples

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from mother respondents.

Description

Usage

Format

Examples

Sample dataset from an impact evaluation study of a mother and child nutrition programme in Kassala State, Sudan. This dataset contains information from child respondents.

Description

Usage

Updates pre-installed ODK Briefcase `jar` file to the latest version downloaded from https://opendatakit.org.

Pull ODK forms from a local ODK folder (`/odk`) collected from ODK Collect mobile clients