Easy Data Manipulation, Data Quality and Statistical Checks

Offers useful functions to perform day-to-day data manipulation operations, data quality checks and post modelling statistical checks. One can effortlessly change class of a number of variables to factor, remove duplicate observations from the data, create deciles of a variable, perform data quality checks for continuous (integer or numeric), categorical (factor) and date variables, and compute goodness of fit measures such as auc for statistical models. The functions are consistent for objects of class 'data.frame' and 'data.table', which is an enhanced 'data.frame' implemented in the package 'data.table'.


Reference manual

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1.0 by Akash Jain, 2 years ago

Browse source code at https://github.com/cran/StatMeasures

Authors: Akash Jain

Documentation:   PDF Manual  

GPL-2 license

Imports data.table

See at CRAN