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moocrr-reproducibility-study
Commit daaed504 authored by Marie-Gabrielle Dondon's avatar Marie-Gabrielle Dondon
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README.md
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...@@ -28,7 +28,7 @@ R*](challenger.pdf). ...@@ -28,7 +28,7 @@ R*](challenger.pdf).
- A [Jupyter Python3 notebook](src/Python3/challenger.ipynb) - A [Jupyter Python3 notebook](src/Python3/challenger.ipynb)
- An [Rmarkdown document](src/R/challenger.Rmd) - An [Rmarkdown document](src/R/challenger.Rmd)
2. Then **update the following table with your own results by 2. Then **update the following table with your own results by
indicating in each column:**. indicating in each column:**
- Language: R, Python3, Julia, Perl, C... - Language: R, Python3, Julia, Perl, C...
- Language version: - Language version:
- Main libraries: please indicate the versions of all the loaded - Main libraries: please indicate the versions of all the loaded
...@@ -45,19 +45,20 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$) ...@@ -45,19 +45,20 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$)
- Figure: Similar, Different, Non functional, Did not succeed - 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 - 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 | | 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** | | | | | | | | | | | |
| 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 | 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 1.8 | RStudio | Windows 7 32 bits | Identical | Identical | Identical | Identical | Identical | [pdf](src/R/challenger_R_Rmd_Windows_32bits_rmardown_1_8.pdf) | M.G. Dondon |
| R | 3.5.1 | ggplot2 3.0.0 rmarkdown 1.10 | RStudio | Windows 7 32 bits | Identical | Identical | Identical | Identical | Identical | [pdf](src/R/challenger_R_Rmd_Windows_32bits_rmardown_1_10.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 3.0.0 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 3.1.0 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 | | 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** | | | | | | | | | | | |
| 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 2.2.2 | 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 | 3.6.4 | 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 | 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 | | 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** | | | | | | | | | | | |
| 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 | | 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 |
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