tidymodlr-package: 'tidymodlr': Modelling with tidy long data
In tidymodlr: An R6 Class to Perform Analysis on Long Tidy Data
tidymodlr-package R Documentation
tidymodlr: Modelling with tidy long data
Description
tidymodlr transforms long data into a matrix form to allow for ease
of input into modelling packages for regression, principal components,
imputation or machine learning.
Details
In many fields it is common to have data in tidy long data, with
the rows representing many variables, but only one
column representing the values (see ?wb for an example).
tidymodlr is particularly useful when the indicator names in the
columns are long descriptive strings, for example
'Energy imports, net (% of energy use)'.
In such cases a straight pivot wider generates column names that are
not only cumbersome, but also generate errors in many standard
modelling packages that require base column names.
High level analysis functions for correlation, imputation and principals
components analysis are provided.
Author(s)
Maintainer: David Hammond anotherdavidhammond@gmail.com
See Also
Useful links:
tidymodlr documentation built on Sept. 11, 2024, 9:18 p.m.
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| tidymodlr-package | R Documentation |
tidymodlr: Modelling with tidy long data
Description
tidymodlr transforms long data into a matrix form to allow for ease
of input into modelling packages for regression, principal components,
imputation or machine learning.
Details
In many fields it is common to have data in tidy long data, with
the rows representing many variables, but only one
column representing the values (see ?wb for an example).
tidymodlr is particularly useful when the indicator names in the
columns are long descriptive strings, for example
'Energy imports, net (% of energy use)'.
In such cases a straight pivot wider generates column names that are
not only cumbersome, but also generate errors in many standard
modelling packages that require base column names.
High level analysis functions for correlation, imputation and principals components analysis are provided.
Author(s)
Maintainer: David Hammond anotherdavidhammond@gmail.com
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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