A simple set of wrapper functions for data.table::fread() that allows subsetting or
filtering rows and selecting columns of table-formatted files too large for the available RAM.
'b stands for 'big files'. The package is using Unix commands like grep, cut and sed
through (hopefully) intuitive parameters.
bread makes heavy use of Unix commands like grep, sed, wc and cut. They are available
by default in all Unix environments.
For Windows, you need to install those commands externally in order to simulate a
Unix environment and make sure that the executables are in the Windows PATH variable.
To my knowledge, the simplest ways are to install RTools, Git or Cygwin. If they have been
correctly installed (with the expected registry entries), they should be detected on loading
the package and the correct directories will be added automatically to the PATH.

A simple set of wrapper functions for data.table::fread() that allows subsetting or
filtering rows and selecting columns of table-formatted files too large for the available RAM.
'b stands for 'big files'.
bread makes heavy use of Unix commands like 'grep', 'sed', 'wc', 'awk' and 'cut'. They are available
by default in all Unix environments.
For Windows, you need to install those commands externally in order to simulate a
Unix environment and make sure that the executables are in the Windows PATH variable.
To my knowledge, the simplest ways are to install 'RTools', 'Git' or 'Cygwin'. If they have been
correctly installed (with the expected registry entries), they should be detected on loading
the package and the correct directories will be added automatically to the PATH.

Break Down Plots are inspired by waterfall plots created by 'xgboostExplainer' package
(see <https://github.com/AppliedDataSciencePartners/xgboostExplainer>).
The idea behind Break Down Plots it to decompose model prediction for a single observation.
Break Down Plots show the contribution of every variable present in the model.
Such plots will work for binary classifiers and general regression models.