From 32415c04847c4594ee1d00baa8894a3b9756911c Mon Sep 17 00:00:00 2001 From: Arnaud Legrand Date: Mon, 24 Sep 2018 11:11:35 +0200 Subject: [PATCH] Completely switch from org to markdown --- README.md | 2 +- README.org | 30 ------------------------------ results.org | 20 -------------------- 3 files changed, 1 insertion(+), 51 deletions(-) delete mode 100644 README.org delete mode 100644 results.org diff --git a/README.md b/README.md index a7e5b7b..73c73b7 100644 --- a/README.md +++ b/README.md @@ -28,5 +28,5 @@ R*](challenger.pdf). - A [Jupyter Python3 notebook](src/Python3/challenger.ipynb) - An [Rmarkdown document](src/R/challenger.Rmd) 2. Then **update the [meta-study result table available - here](results.org) with your own results**. + here](results.md) with your own results**. diff --git a/README.org b/README.org deleted file mode 100644 index c02f64a..0000000 --- a/README.org +++ /dev/null @@ -1,30 +0,0 @@ -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]]). - -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 -the computation behind these values and the Figure 4 of this article, -possibly in a nicer looking way. - -#+BEGIN_CENTER -*[[file:challenger.pdf][Here is our successful replication of Dalal et al. results using R]]*. -#+END_CENTER - -1. Try to *replicate the computation* from Dalal et al. 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 - your favourite language and an other language you do not know yet. - - A [[file:src/Python3/challenger.ipynb][Jupyter Python3 notebook]] - - An [[file:src/R/challenger.Rmd][Rmarkdown document]] -2. Then *update the [[file:results.org][meta-study result table available here]] with your - own results*. - diff --git a/results.org b/results.org deleted file mode 100644 index 2f22d71..0000000 --- a/results.org +++ /dev/null @@ -1,20 +0,0 @@ -Update the following table with your own results by indicating in each -column: -- Language: R, Python3, Julia, Perl, C, ... -- Language version: -- Main libraries: please indicate the versions of all the loaded libraries -- Operating System: Linux, Mac OS X, Windows, Android, ... along with its version -- $\hat{\alpha}$ and $\hat{\\beta}: Identical, Similar, Different, Non - functional (expected values are $5.085$ and $-0.1156$) -- $s_{\hat{\alpha}}$ and $s_{\hat{\\beta}}: Identical, Similar, Different, Non - functional (expected values are $3.052$ and $0.047$) -- $G^2$ and degree of freedom: Identical, Similar, Different, Non - functional (expected values are $18.086$ and $21$). -- Figure: Similar, Different, Non functional -- Confidence region: Similar, Different, Non functional - -| Language | Language version | Main libraries | Operating System | $\hat{\alpha}$ and $\hat{\\beta}$ | $s_{\hat{\alpha}$ and $s_{\hat{\beta}$ | $G^{2}$ | Figure | Confidence Region | Link to the document | -|----------+------------------+---------------------------------------------------------------+-----------------------------+--------------------------+-------------------------------+----------------+-----------+-------------------+-----------------------------------| -| R | 3.5.1 | ggplot2 3.0.0 | Debian GNU/Linux buster/sid | Identical | Identical | Identical | Identical | Identical | [[file:src/R/challenger.Rmd]] | -| Python | 3.6.5rc1 | statsmodels 0.9.0 numpy 1.14.5 pandas 0.22.0 matplotlib 2.1.1 | Linux Debian 4.15.11-1 | Identical | *Different* | *Non Functional* | Identical | *Non Functional* | [[file:src/Python3/challenger.ipynb]] | - -- 2.18.1