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 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 [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** | | | | | | | | | | | | | 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 | | R | 3.5.1 | ggplot2 3.0.0 rmarkdown 1.8 | RStudio | Windows 7 32 bits | Identical | Identical | Identical | Identical | Identical | [pdf](src/R/challenger_R_Rmd_Windows_32bits.pdf) | M.G. Dondon | | R | 3.5.1 | ggplot2 3.0.0 rmarkdown 1.10 | RStudio | Windows 7 x64 | Identical | Identical | Identical | Identical | Identical | [html](src/R/Challenger.html) | ???? | | R | 3.5.1 | ggplot2 3.1.0 rmarkdown 1.10 | RStudio | GNU/Linux Manjaro 4.18.17-1 | Identical | Identical | Identical | Identical | Identical | [Rmd](https://app-learninglab.inria.fr/gitlab/0ff5ec0ebf4e500d1aa4b14c0d8efd67/mooc-rr/blob/e4db1956911a37407fe8a0718a34d9ff4b3ee33b/module4/re-analyse_shuttle_sguyader.Rmd), [PDF](https://app-learninglab.inria.fr/gitlab/0ff5ec0ebf4e500d1aa4b14c0d8efd67/mooc-rr/blob/e4db1956911a37407fe8a0718a34d9ff4b3ee33b/module4/re-analyse_shuttle_sguyader.pdf) | S. Guyader | | R | 3.5.1 | ggplot2_3.0.0 | org-mode | GNU/Linux OpenSuse Leap 15.0 | don't know | don't know | don't know | don't know | don't kn | [org](https://app-learninglab.inria.fr/gitlab/moocrr-session1/moocrr-reproducibility-study/blob/master/src/R/challenger_R_org.org), [pdf](https://app-learninglab.inria.fr/gitlab/moocrr-session1/moocrr-reproducibility-study/blob/master/src/R/challenger_R_org.pdf) | JFM | | **Python** | | | | | | | | | | | | | 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 | | Python | 3.6.4 | statsmodels 0.9.0 numpy 1.13.3 pandas 0.22.0 matplotlib 2.2.3 | Jupyter | Linux Ubuntu 4.4.0-116-generic | Identical | Identical | Identical | Identical | Similar | [ipynb](https://app-learninglab.inria.fr/gitlab/209efe97d845ea4b57491275c640a3d4/mooc-rr/blob/master/module4/challenger.ipynb), [pdf](https://app-learninglab.inria.fr/gitlab/209efe97d845ea4b57491275c640a3d4/mooc-rr/blob/master/module4/challenger-jupiter.pdf) | N. Maurin | | Python | 3.7.0 | statsmodels 0.9.0 numpy 1.15.4 pandas 0.23.4 matplotlib 2.2.3 | Jupyter | Windows 7 64 bits | Identical | Identical | Identical | Identical | Similar | [ipynb](src/Python3/challenger_Python_ipynb.ipynb), [pdf](src/Python3/challenger_Python_ipynb_Windows_64bits.pdf) | M.G. Dondon | | Python | 3.7.0 | statsmodels 0.9.0 numpy 1.15.4 pandas 0.23.4 matplotlib 2.2.3 | Emacs | Windows 7 64 bits | Identical | Identical | Identical | Identical | Similar | [org](src/Python3/challenger_Python_org.org), [pdf](src/Python3/challenger_Python_org_Windows_64bits.pdf) | M.G. Dondon | | **SAS** | | | | | | | | | | | | | SAS | 9.4 | | Jupyter | Windows 7 | Identical | Identical | Identical | Identical | Identical | [ipynb](src/SAS/challenger_SAS_ipynb.ipynb), [pdf](src/SAS/challenger_SAS_ipynb.pdf) | M.G. Dondon |