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al00014

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@sachinsdate
sachinsdate / stanford_heart_transplant_dataset_full.csv
Created November 20, 2020 19:04
The Stanford heart transplant data set is taken from https://statistics.stanford.edu/research/covariance-analysis-heart-transplant-survival-data and available for personal use/research purposes only.
PATIENT_ID YR_OF_ACCEPTANCE AGE SURVIVAL_STATUS SURVIVAL_TIME PRIOR_SURGERY TRANSPLANT_STATUS WAITING_TIME_FOR_TRANSPLANT MISMATCH_ON_ALLELES MISMATCH_ON_ANTIGEN MISMATCH_SCORE
15 68 53 1 1 0 0
43 70 43 1 2 0 0
61 71 52 1 2 0 0
75 72 52 1 2 0 0
6 68 54 1 3 0 0
42 70 36 1 3 0 0
54 71 47 1 3 0 0
38 70 41 1 5 0 1 5 3 0 0.87
85 73 47 1 5 0 0
@arcaravaggi
arcaravaggi / update_migrate.R
Last active November 4, 2025 09:39
Update R and migrate R packages to new installation from within the console
#From https://stackoverflow.com/questions/1401904/painless-way-to-install-a-new-version-of-r
# Run in the old version of R (or via RStudio)
setwd("C:/Temp/")
packages <- installed.packages()[,"Package"]
save(packages, file="Rpackages")
# INSTALL NEW R VERSION
if(!require(installr)) { install.packages("installr"); require(installr)} #load / install+load installr
# See here for more on installr: https://www.r-statistics.com/2013/03/updating-r-from-r-on-windows-using-the-installr-package/
@jkeirstead
jkeirstead / gp-regression-demo.r
Created April 5, 2012 16:38
Demo of Gaussian process regression with R
# Demo of Gaussian process regression with R
# James Keirstead
# 5 April 2012
# Chapter 2 of Rasmussen and Williams's book `Gaussian Processes
# for Machine Learning' provides a detailed explanation of the
# math for Gaussian process regression. It doesn't provide
# much in the way of code though. This Gist is a brief demo
# of the basic elements of Gaussian process regression, as
# described on pages 13 to 16.