panelcleaner-package: panelcleaner: An interactive interface to homogenize messy...
In nyuglobalties/panelcleaner: An interactive interface to homogenize messy panel data into a long format
panelcleaner-package R Documentation
panelcleaner: An interactive interface to homogenize messy panel data into a long format
Description
Panel data structure can sometimes change over the course of data collection, which can be a real nuisance when cleaning data. This package aims to document the state of all waves of data in a comprehensive manner and then homogenize the data into a long dataset ready for data transformations.
Details
The panelcleaner package addresses data structure issues with longitudinal
data by defining two data structures: a tk_panel class that is a wrapper
around the waves of tabular data, and a panel_map class which is a type
of data.frame that outlines the raw data content
(variable names and categorical levels) and a common "homogenized" form that
is consistent across all waves.
Resources for workflow:
Defining a panel from waves of data: enpanel(), add_wave()
Accessing waves of data from an unhomogenized panel: wave()
Defining a panel mapping: panel_mapping()
Adding a panel mapping to a panel: add_mapping()
Homogenize a panel: homogenize_panel()
Combine waves and extract long-form data.frame: bind_waves()
Author(s)
Maintainer: Patrick Anker psanker@nyu.edu (ORCID)
Other contributors:
Global TIES for Children (https://research.steinhardt.nyu.edu/ihdsc/global-ties) [copyright holder]
See Also
Useful links:
nyuglobalties/panelcleaner documentation built on March 30, 2023, 11:01 a.m.
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| panelcleaner-package | R Documentation |
panelcleaner: An interactive interface to homogenize messy panel data into a long format
Description
Panel data structure can sometimes change over the course of data collection, which can be a real nuisance when cleaning data. This package aims to document the state of all waves of data in a comprehensive manner and then homogenize the data into a long dataset ready for data transformations.
Details
The panelcleaner package addresses data structure issues with longitudinal
data by defining two data structures: a tk_panel class that is a wrapper
around the waves of tabular data, and a panel_map class which is a type
of data.frame that outlines the raw data content
(variable names and categorical levels) and a common "homogenized" form that
is consistent across all waves.
Resources for workflow:
Defining a panel from waves of data:
enpanel(),add_wave()Accessing waves of data from an unhomogenized panel:
wave()Defining a panel mapping:
panel_mapping()Adding a panel mapping to a panel:
add_mapping()Homogenize a panel:
homogenize_panel()Combine waves and extract long-form
data.frame:bind_waves()
Author(s)
Maintainer: Patrick Anker psanker@nyu.edu (ORCID)
Other contributors:
Global TIES for Children (https://research.steinhardt.nyu.edu/ihdsc/global-ties) [copyright holder]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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