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 [here](https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_anonyme/OringJASA_1989.pdf) (here is [the official JASA webpage](http://www.jstor.org/stable/2290069)). 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. [*Here is our successful replication of Dalal et al. results using R*](challenger.pdf). 1. Try to **replicate the computation** from Dalal et al. In case it helps, we provide you with twoimplementations 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 [Jupyter Python3 notebook](src/Python3/challenger.ipynb) - An [Rmarkdown document](src/R/challenger.Rmd) 2. Then **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 - Tool: Jupyter, Rstudio, Emacs - 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, Did not succeed - Confidence region: Identical (to [the one obtained with R](challenger.pdf)), Similar, Quite Different, Did not succeed | Language | Language version | Main libraries | Tool | Operating System | $`\hat{\alpha}= 5.085`$ $`\hat{\beta} = -0.1156`$ | $`s_{\hat{\alpha}} = 3.052`$ $`s_{\hat{\beta}} = 0.047`$ | $`G^{2} = 18.086`$ $`dof = 21`$ | Figure | Confidence Region | Link to the document | Author | | -------- | ---------------- | ------------------------------------------------------------- | ------- | ---------------------------- | ------------- | ---------- | ---------- | --------- | ---------- | ----------------------------------------------------------------- | ----------- | | R | 3.5.1 | ggplot2 3.0.0 | RStudio | Debian GNU/Linux buster/sid | Identical | Identical | Identical | Identical | Identical | [Rmd](src/R/challenger.Rmd), [pdf](src/R/challenger_debian_alegrand.pdf) | A. Legrand | | Python | 3.6.4 | statsmodels 0.9.0 numpy 1.13.3 pandas 0.22.0 matplotlib 2.2.2 | Jupyter | Linux Ubuntu 4.4.0-116-generic | Identical | Identical | Identical | Identical | Similar | [ipynb](src/Python3/challenger.ipynb), [pdf](src/Python3/challenger_ubuntuMOOC_alegrand.pdf) | A. Legrand | | R | 3.5.1 | ggplot2 3.0.0 | RSrudio | Windows >= 8 x64 (build 9200) | Identical | Identical | Identical | Identical | Similar | [Rmd](https://app-learninglab.inria.fr/moocrr/gitlab/8517fa92e97b3a318e653caefbfde6b5/mooc-rr/blob/master/module4/MOOC_exercice_module4.Rmd), [Pdf](https://app-learninglab.inria.fr/moocrr/gitlab/8517fa92e97b3a318e653caefbfde6b5/mooc-rr/blob/master/module4/MOOC_exercice_module4.pdf) | M. Saubin | | Python | 3.6.4 | statsmodels 0.9.0 numpy 1.15.2 pandas 0.22.0 matplotlib 2.2.3 | Jupyter | Linux Ubuntu 4.4.0-164-generic | Identical | Identical | Identical | Identical | Similar | [ipynb](module4/challenger_Python_ipynb.ipynb), [pdf](module4/challenger_Python_ipynb.pdf) |2992438755465b7fe3afd7856bde0599| | R | 3.4.4 | ggplot2_3.3.0 | RStudio | Linux Mint 19 | Identical | Identical | Identical | Identical | Identical | [Rmd](https://app-learninglab.inria.fr/moocrr/gitlab/b2c48a7ab4afbff5f4d26650b09eb6b4/mooc-rr/blob/master/module4/challenger_reexecuted.Rmd), [html](https://app-learninglab.inria.fr/moocrr/gitlab/b2c48a7ab4afbff5f4d26650b09eb6b4/mooc-rr/blob/master/module4/challenger_reexecuted.html) | b2c48a7ab4afbff5f4d26650b09eb6b4 | | Python | 3.6.4 | statsmodels 0.9.0 numpy 1.15.2 pandas 0.22.0 matplotlib 2.2.3 | Jupyter | Linux Ubuntu 4.4.0-164-generic | Identical | Identical | Identical | Identical | Similar | [ipynb](https://app-learninglab.inria.fr/moocrr/gitlab/34ea1ee296fc8711adf020d9cc2cb571/mooc-rr/blob/master/module4/challenger.ipynb), [pdf](https://app-learninglab.inria.fr/moocrr/gitlab/34ea1ee296fc8711adf020d9cc2cb571/mooc-rr/blob/master/module4/challenger.pdf) | 34ea1ee296fc8711adf020d9cc2cb571 | | Matlab | 9.6.0.1072779 (R2019a) | | Matlab Live Script | Windows 10.0.18362 | Identical | Identical | Non Functionnal | Similar | Did not succeed | [mlx](https://app-learninglab.inria.fr/moocrr/gitlab/34ea1ee296fc8711adf020d9cc2cb571/mooc-rr/blob/master/module4/challenger.mlx), [pdf](https://app-learninglab.inria.fr/moocrr/gitlab/34ea1ee296fc8711adf020d9cc2cb571/mooc-rr/blob/master/module4/challenger_matlab.pdf) | 34ea1ee296fc8711adf020d9cc2cb571 |