cleanerR

How to Handle your Missing Data

How to deal with missing data?Based on the concept of almost functional dependencies, a method is proposed to fill missing data, as well as help you see what data is missing. The user can specify a measure of error and how many combinations he wish to test the dependencies against, the closer to the length of the dataset, the more precise. But the higher the number, the more time it will take for the process to finish. If the program cannot predict with the accuracy determined by the user it shall not fill the data, the user then can choose to increase the error or deal with the data another way.

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Description file content

Package
cleanerR
Type
Package
Title
How to Handle your Missing Data
Version
0.1.1
Author
Rafael Silva Pereira
Maintainer
Rafael Silva Pereira
Description
How to deal with missing data?Based on the concept of almost functional dependencies, a method is proposed to fill missing data, as well as help you see what data is missing. The user can specify a measure of error and how many combinations he wish to test the dependencies against, the closer to the length of the dataset, the more precise. But the higher the number, the more time it will take for the process to finish. If the program cannot predict with the accuracy determined by the user it shall not fill the data, the user then can choose to increase the error or deal with the data another way.
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.0.9000
Imports
plyr, data.table
Suggests
knitr, rmarkdown, testthat
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-02-04 20:20:51 UTC; rpereira
Repository
CRAN
Date/Publication
2019-02-10 14:03:11 UTC

install.packages('cleanerR')

0.1.1

11 days ago

Rafael Silva Pereira

MIT + file LICENSE

Imports

plyr, data.table

Suggests

knitr, rmarkdown, testthat

Discussions