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moocrr-session3
moocrr-reproducibility-study
Commits
41a7c3ae
Commit
41a7c3ae
authored
Dec 07, 2020
by
cded6f222a164a22601711b16e547edb
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...
@@ -54,7 +54,7 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$)
...
@@ -54,7 +54,7 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$)
| 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 |
| 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 |
| 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 |
| 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 |
| R | 3.6.1 | ggplot2 3.1.1
| RSrudio | Ubuntu 18.04.4 LTS | Identical | Identical | Identical | Identical | Identical |
[
Rmd
](
https://app-learninglab.inria.fr/moocrr/gitlab/a308dc99373eb1db581156a44d010769/mooc-rr/blob/master/module4/challenger_aschmide.Rmd
)
,
[
pdf
](
https://app-learninglab.inria.fr/moocrr/gitlab/a308dc99373eb1db581156a44d010769/mooc-rr/blob/master/module4/challenger_aschmide.pdf
)
| a308dc99373eb1db581156a44d010769 |
| R | 3.6.1 | ggplot2 3.1.1 | RSrudio | Ubuntu 18.04.4 LTS | Identical | Identical | Identical | Identical | Identical |
[
Rmd
](
https://app-learninglab.inria.fr/moocrr/gitlab/a308dc99373eb1db581156a44d010769/mooc-rr/blob/master/module4/challenger_aschmide.Rmd
)
,
[
pdf
](
https://app-learninglab.inria.fr/moocrr/gitlab/a308dc99373eb1db581156a44d010769/mooc-rr/blob/master/module4/challenger_aschmide.pdf
)
| a308dc99373eb1db581156a44d010769 |
| R | 3.5.3 | ggplot2_3.1.1 | RStudio | Windows 10 x64 (build 18363) | Identical | Identical | Identical | Identical | Identical |
[
Rmd
](
https://app-learninglab.inria.fr/moocrr/gitlab/84848da3cce8d6b635b2e7c1749f3f0a/mooc-rr/blob/master/module4/challenger_CL.Rmd
)
,
[
pdf
](
https://app-learninglab.inria.fr/moocrr/gitlab/84848da3cce8d6b635b2e7c1749f3f0a/mooc-rr/blob/master/module4/challenger_CL.pdf
)
| 84848da3cce8d6b635b2e7c1749f3f0a |
| R | 3.5.3 | ggplot2_3.1.1 | RStudio | Windows 10 x64 (build 18363) | Identical | Identical | Identical | Identical | Identical |
[
Rmd
](
https://app-learninglab.inria.fr/moocrr/gitlab/84848da3cce8d6b635b2e7c1749f3f0a/mooc-rr/blob/master/module4/challenger_CL.Rmd
)
,
[
pdf
](
https://app-learninglab.inria.fr/moocrr/gitlab/84848da3cce8d6b635b2e7c1749f3f0a/mooc-rr/blob/master/module4/challenger_CL.pdf
)
| 84848da3cce8d6b635b2e7c1749f3f0a |
| Python | 3.7.6 | statsmodel 0.11.1 scipy 1.4.1 pandas 1.0.3 seaborn 0.10.0 | Jupyter | Ubuntu 18.04.4 LTS | Identical | Identitcal | Identical | Non functionnal | Non functionnal |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/a308dc99373eb1db581156a44d010769/mooc-rr/blob/master/module4/challenger.ipynb
)
[
html
]
| a308dc99373eb1db581156a44d010769 |
| Python | 3.7.6 | statsmodel 0.11.1 scipy 1.4.1 pandas 1.0.3 seaborn 0.10.0 | Jupyter | Ubuntu 18.04.4 LTS | Identical | Identitcal | Identical | Non functionnal | Non functionnal |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/a308dc99373eb1db581156a44d010769/mooc-rr/blob/master/module4/challenger.ipynb
)
[
html
]
| a308dc99373eb1db581156a44d010769 |
| Python | 3.7.4 | statsmodel 0.10.1 scipy 1.3.1 pandas 0.25.1 seaborn 0.9.0 | Jupyter | Windows 10 x64 | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/e33eb88ad13e77fcab40e23aa5b9eb7e/mooc-rr/blob/master/module4/src_Python3_challenger.ipynb
)
) | e33eb88ad13e77fcab40e23aa5b9eb7e |
| Python | 3.7.4 | statsmodel 0.10.1 scipy 1.3.1 pandas 0.25.1 seaborn 0.9.0 | Jupyter | Windows 10 x64 | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/e33eb88ad13e77fcab40e23aa5b9eb7e/mooc-rr/blob/master/module4/src_Python3_challenger.ipynb
)
) | e33eb88ad13e77fcab40e23aa5b9eb7e |
...
@@ -73,4 +73,5 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$)
...
@@ -73,4 +73,5 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$)
| Python | 3.7.4 | numpy 1.19.0 scipy 1.5.0 statsmodels 0.10.1 | Jupyter | Windows 10 x64 18362.900 | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/2c1cfe3b7099fc1c57ee95d52ee21f93/mooc-rr/blob/master/module4/src_Python3_challenger.ipynb
)
| 2c1cfe3b7099fc1c57ee95d52ee21f93 |
| Python | 3.7.4 | numpy 1.19.0 scipy 1.5.0 statsmodels 0.10.1 | Jupyter | Windows 10 x64 18362.900 | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/2c1cfe3b7099fc1c57ee95d52ee21f93/mooc-rr/blob/master/module4/src_Python3_challenger.ipynb
)
| 2c1cfe3b7099fc1c57ee95d52ee21f93 |
| Python | 3.6.4 | numpy 1.15.0 pandas 0.22.0 seaborn 0.8.1 matplotlib 2.2.3 statsmodels 0.9.0 | Jupyter | Linux Ubuntu 4.4.0-164-generic | Identical | Identical | Identical | Identical | Similar |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/jupyter/user/b4d31d1037af989f9880e6ac666123c2/notebooks/work/module4/exercice_module5.ipynb
)
,
[
pdf
](
https://app-learninglab.inria.fr/moocrr/jupyter/user/b4d31d1037af989f9880e6ac666123c2/notebooks/work/module4/exercice_module5.pdf
)
| b4d31d1037af989f9880e6ac666123c2 |
| Python | 3.6.4 | numpy 1.15.0 pandas 0.22.0 seaborn 0.8.1 matplotlib 2.2.3 statsmodels 0.9.0 | Jupyter | Linux Ubuntu 4.4.0-164-generic | Identical | Identical | Identical | Identical | Similar |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/jupyter/user/b4d31d1037af989f9880e6ac666123c2/notebooks/work/module4/exercice_module5.ipynb
)
,
[
pdf
](
https://app-learninglab.inria.fr/moocrr/jupyter/user/b4d31d1037af989f9880e6ac666123c2/notebooks/work/module4/exercice_module5.pdf
)
| b4d31d1037af989f9880e6ac666123c2 |
| Python | 3.6.4 | matplotlib 2.2.3 numpy 1.15.2 pandas 0.22.0 seaborn 0.8.1 statsmodels 0.9.0 | Jupyter | Linux Ubuntu 4.4.0-164-generic | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/26ab366f4d50047285d9a557b01018bd/mooc-rr/blob/master/module4/Analyse%20Challenger.ipynb
)
| 26ab366f4d50047285d9a557b01018bd |
| Python | 3.6.4 | matplotlib 2.2.3 numpy 1.15.2 pandas 0.22.0 seaborn 0.8.1 statsmodels 0.9.0 | Jupyter | Linux Ubuntu 4.4.0-164-generic | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/26ab366f4d50047285d9a557b01018bd/mooc-rr/blob/master/module4/Analyse%20Challenger.ipynb
)
| 26ab366f4d50047285d9a557b01018bd |
| Python | 3.7.3 | statsmodels 0.12.0 numpy 1.16.4 pandas 0.25.0 matplotlib 3.1.1 seaborn 0.9.0 | Jupyter | Windows 7 6.1.7601 - 64 bits | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/a6a8e0f601822270ca754f29f77749b6/mooc-rr/blob/master/module4/challenger.ipynb
)
| a6a8e0f601822270ca754f29f77749b6 |
| Python | 3.7.3 | statsmodels 0.12.0 numpy 1.16.4 pandas 0.25.0 matplotlib 3.1.1 seaborn 0.9.0 | Jupyter | Windows 7 6.1.7601 - 64 bits | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/a6a8e0f601822270ca754f29f77749b6/mooc-rr/blob/master/module4/challenger.ipynb
)
| a6a8e0f601822270ca754f29f77749b6 |
\ No newline at end of file
| Python | 3.7.4 | matplotlib 2.2.3 numpy 1.15.2 pandas 0.22.0 seaborn 0.8.1 statsmodels 0.9.0 | Jupyter | Windows 10 x64 (build 17134) | Identical | Identical | Identical | Identical | Identical |
[
ipynb
](
https://app-learninglab.inria.fr/moocrr/gitlab/moocrr-session3/moocrr-reproducibility-study/blob/master/CHANGELOG
)
| a6a8e0f601822270ca754f29f77749b6 |
\ No newline at end of file
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