This holds various code snippets of things that I keep forgetting how I've done them last time...

• runSubmitJHU.sh : Submit script for JHU Generator

• mergeLHEFile.cpp : Merge LHE files

• boostProgressBar.cpp : Progress bar for loop using BOOST lib

• LHESplitter.py : Split LHE Files

• MG5_OfficialProduction_JOfile.py : Job options example from CP MG5 Sample official production (2014)

• duplicates.py : Get the duplicates (indices) objects within a list

• pyximportcpp.py : "Overwrite" Cythons pyximport to load C++ instead of C code

• progressBar.py : Progress bar using the progressbar module

• mymodule.py : This is my library with various functions

• beamCal.py : Calculate machine/beam conditions depending on beam parameters

• boxPlot.R : Create a Box-Plot

• complete.R : Given a directory of csv files returns a dataframe with the numeric id of the file and the number of complete cases in it

• conditionalHistograms.R : Generate histograms of the columns of the dataset conditional upon another variable

• corr.R : Given a directory, it calls complete.R and in its df calculate the correlations of variables

• evaluateClassificationMode.R : Evaluate the metrics for a classification model

• featureEngineering.R : Feature engineering

• pairPlots.R : Make pairs plot.

• plotResiduals.R : Plot residuals label from prediction.

• prepareDataset.R : Prepare dataset with column selection

• removeOutliers.R : Remove outliers by applying selection requirements to dataset columns

• selectSubsetOfColumns.R : Select a subset of columns

• visualizeClusters.R : Visualize the result of a clustering algorithm (k-means)

• visualizeDataset.R : Visualize the columns of a dataset.

• atlaslabel.py : Functions to use for ATLAS label on plots

• CalcZMFVars.C : Calculate Zero Momentum Frame variables (Cabbibo-Maksymowicz)

• fakeData.py : Copy a file and scale one of its branches by a constant factor

• generateToys.C : Generate pseudo-experiments around a value (RooWorkspace)

• makeCorrelationAnalytically.C : Calculate correlations of variables

• mergeTwoMakeClasses.C : Template used to merge info from two "MakeClass"-ed files

• mylibrary.h : Usefull functions and settings (helperfunc)

• mymodule.py : Usefull functions and settings

• plot_toys.C : Plot the fit variable for Asimov, Data, and toys

• plotToyRatio.py : Calculate and plot the ratio of toys/Asimov to check their fluctuations

• pythonGraph.py : placeholder

• removeBranchesFromNtuple.C : Remove branches from an ntuple.

• rootnotes.py : Helper module for displaying ROOT canvases in iPython notebook

• overlayOutputHistograms.py Get distributions from two files and make (ratio) plots.