From b01f67a5c34f134a602a72d3b0e3fb9ca21452f8 Mon Sep 17 00:00:00 2001 From: Arnaud Legrand Date: Sun, 23 Sep 2018 23:20:16 +0200 Subject: [PATCH] Use orgmode instead of markdown --- README.md => README.org | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) rename README.md => README.org (51%) diff --git a/README.md b/README.org similarity index 51% rename from README.md rename to README.org index 571cc63..11390c7 100644 --- a/README.md +++ b/README.org @@ -1,31 +1,27 @@ In this project, we gather reproduction attempts from the Challenger study. In particular, we try to reperform some of the analysis provided in *Risk Analysis of the Space Shuttle: Pre-Challenger -Prediction of Failure* by *Siddhartha R. Dalal, Edward B. Fowlkes, -Bruce Hoadley* published in *Journal of the American Statistical -Association*, Vol. 84, No. 408 (Dec., 1989), pp. 945-957 and available -at -[https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_anonyme/OringJASA_1989.pdf](here) -(here is [http://www.jstor.org/stable/2290069](the official JASA -webpage)). +Prediction of Failure* by *Siddhartha R. Dalal, Edward B. Fowlkes, Bruce +Hoadley* published in *Journal of the American Statistical Association*, +Vol. 84, No. 408 (Dec., 1989), pp. 945-957 and available at [[https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_anonyme/OringJASA_1989.pdf][here]] (here +is [[http://www.jstor.org/stable/2290069][the official JASA webpage]]) On the fourth page of this article, they indicate that the maximum likelihood estimates of the logistic regression using only temperature are: $\hat{\alpha}=5.085$ and $\hat{\beta}=-0.1156$ and their asymptotic standard errors are $s_{\hat{\alpha}}=3.052$ and $s_{\hat{\beta}}=0.047$. The Goodness of fit indicated for this model -was $G^2=18.086$ with 21 degrees of freedom. Our goal is to reproduce +was $G^{2}=18.086$ with 21 degrees of freedom. Our goal is to reproduce the computation behind these values and the Figure 4 of this article, possibly in a nicer looking way. -[**Here is our successful replication of Dalal et al. results using -R**](file:challenger.pdf). +*[[file:challenger.pdf][Here is our successful replication of Dalal et al. results using R]]*. In case it helps, we provide you with two implementations of this case -study but we encourage you to **reimplement them by yourself** using both +study but we encourage you to *reimplement them by yourself* using both your favourite language and an other language you do not know yet. -- A [Jupyter Python3 notebook](file:src/Python3/challenger.ipynb) -- An [Rmarkdown document](file:src/R/challenger.Rmd) +- A [[file:src/Python3/challenger.ipynb][Jupyter Python3 notebook]] +- An [[file:src/R/challenger.Rmd][Rmarkdown document]] -Then **update the [meta-study result table available -here](file:results.org) with your own results**. +Then *update the [[file:results.org][meta-study result table available here]] with your own +results*. -- 2.18.1