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moocrr-session1
moocrr-reproducibility-study
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a8d9079c
Commit
a8d9079c
authored
Nov 13, 2018
by
Arnaud Legrand
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Cosmetics: Fix broken table
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a8d9079c
...
@@ -45,18 +45,17 @@ Non functional (expected values are $`5.085`$ and $`-0.1156`$)
...
@@ -45,18 +45,17 @@ 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.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 |
|
**Python**
| | | | | | | | | | | |
|
**Python**
| | | | | | | | | | | |
| Python | 3.6.5rc1 | 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 | 3.6.5rc1 | 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 | 3.7.0 | statsmodels 0.9.0 numpy 1.15.1 pandas 0.23.4 matplotlib 2.2.3 | Jupyter | Linux Ubuntu 4.15.0-38-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/cochallenger-jupiter.pdf
)
| N. Maurin |
| Python | 3.7.0 | statsmodels 0.9.0 numpy 1.15.1 pandas 0.23.4 matplotlib 2.2.3 | Jupyter | Linux Ubuntu 4.15.0-38-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/cochallenger-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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