Variables are the fundamental parts of each programming language but handling them might be frustrating for programmers from time to time. This package contains some functions to help user (especially data explorers) to make more sense of their variables and take the most out of variables as well as their hardware. These functions are written, collected and crafted over some years of experience in statistical data analysis and for each of them there was a need. Functions in this package are suppose to be efficient and easy to use, hence they will be frequently updated to make them more convenient.
|Author||Mehrad Mahmoudian [aut, cre]|
|Date of publication||2016-06-19 16:46:39|
|Maintainer||Mehrad Mahmoudian <email@example.com>|
|License||GPL (>= 2)|
check.numeric: Check the vector's possiblity to convert to numeric
inspect.na: inspect matrix or data.frame regarding NAs
pin.na: Pinpoint NAs in a vector, matrix or data.frame
rm.all.but: Remove all variables except those that you mention
save.var: Save variables separate files
to.dummy: Convert categorical vector into dummy binary dataframe
unfactor: Convert factor into appropriate class
varhandle-package: A Package to Work and Handl Variables Easier, Convenient and...
var.info: Get a detailed list of variables