A. Berihuete AngelBerihuete

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Wine	Alcohol	Malic.acid	Ash	Acl	Mg	Phenols	Flavanoids	Nonflavanoid.phenols	Proanth	Color.int	Hue	OD	Proline
1	14.23	1.71	2.43	15.6	127	2.8	3.06	.28	2.29	5.64	1.04	3.92	1065
1	13.2	1.78	2.14	11.2	100	2.65	2.76	.26	1.28	4.38	1.05	3.4	1050
1	13.16	2.36	2.67	18.6	101	2.8	3.24	.3	2.81	5.68	1.03	3.17	1185
1	14.37	1.95	2.5	16.8	113	3.85	3.49	.24	2.18	7.8	.86	3.45	1480
1	13.24	2.59	2.87	21	118	2.8	2.69	.39	1.82	4.32	1.04	2.93	735
1	14.2	1.76	2.45	15.2	112	3.27	3.39	.34	1.97	6.75	1.05	2.85	1450
1	14.39	1.87	2.45	14.6	96	2.5	2.52	.3	1.98	5.25	1.02	3.58	1290
1	14.06	2.15	2.61	17.6	121	2.6	2.51	.31	1.25	5.05	1.06	3.58	1295
1	14.83	1.64	2.17	14	97	2.8	2.98	.29	1.98	5.2	1.08	2.85	1045

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

	EmpiricalDualElasticity <- function(dataset){
	# ###########################################################################
	# R function to calculate elasticity of the dual Lorenz curve
	# ---------------------------------------------------------
	#
	# Authors: Berihuete, A.; Ramos, C.D; Sordo, M.A. and Ramos, H.
	#
	# input: a dataset formatted with rtip package (https://cran.r-project.org/web/packages/rtip/)
	#
	# output: abscissas and ordinates of the elasticiy of the dual Lorenz curve.

	# Reproducible examples with rtip package
	# ---------------------------------------

	# Install from CRAN
	# install.packages("rtip")

	library(rtip)
	set.seed(1972)

	# Datasets

	"""Create a notebook containing code from a script.

	Run as: python make_nb.py my_script.py
	"""
	import sys

	import nbformat
	from nbformat.v4 import new_notebook, new_code_cell

	nb = new_notebook()

	loadOwnDataset <- function(year = NULL, country = NULL, region = NULL, hhcsw = NULL, hhsize = NULL, ehhs = NULL, edi = NULL){

	# year: year of the survey
	# country: Country
	# region: Region in the country
	# hhcsw: Household cross-sectional weight
	# hhsize: Household size
	# ehhs: Equivalised household size
	# edi: Equivalised disposable income (with the modified OECD scale)

	require(rtip)
	data(LCS2014)

	# Set up dataset for Spain
	ESdataset <- setupDataset(LCS2014, country = "ES")

	# Set up dataset for Andalusia according to code in NUTS-2
	#
	# https://en.wikipedia.org/wiki/NUTS_statistical_regions_of_Spain

	sudo apt-get install curl

	curl -sL https://deb.nodesource.com/setup_8.x \| sudo -E bash -

	sudo apt-get install build-essential nodejs

	node --version

	sudo npm install gtop -g

A. Berihuete AngelBerihuete

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