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" + ], + "text/plain": [ + " speed dist\n", + "count 50.000000 50.000000\n", + "mean 15.400000 42.980000\n", + "std 5.287644 25.769377\n", + "min 4.000000 2.000000\n", + "25% 12.000000 26.000000\n", + "50% 15.000000 36.000000\n", + "75% 19.000000 56.000000\n", + "max 25.000000 120.000000" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_python.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Summary avec R" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from rpy2.robjects import pandas2ri\n", + "pandas2ri.activate()\n", + "from rpy2.robjects.packages import importr" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " speed dist \n", + "\r\n", + " Min. : 4.0 Min. : 2.00 \n", + "\r\n", + " 1st Qu.:12.0 1st Qu.: 26.00 \n", + "\r\n", + " Median :15.0 Median : 36.00 \n", + "\r\n", + " Mean :15.4 Mean : 42.98 \n", + "\r\n", + " 3rd Qu.:19.0 3rd Qu.: 56.00 \n", + "\r\n", + " Max. :25.0 Max. :120.00 \n", + "\n" + ] + } + ], + "source": [ + "base = importr('base')\n", + "print(base.summary(df_python))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\r\n", + " Numeric \n", + "\r\n", + " mean median var sd valid.n\n", + "\r\n", + "speed 15.40 15 27.96 5.29 50\n", + "\r\n", + "dist 42.98 36 664.06 25.77 50\n", + "\n" + ] + } + ], + "source": [ + "prettyR = importr('prettyR')\n", + "print(prettyR.describe(df_python))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Liens utiles\n", + "\n", + "- http://rpy.sourceforge.net/rpy2/doc-2.4/html/introduction.html\n", + "- https://rpy2.readthedocs.io/en/version_2.8.x/" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/documents/notebooks/notebook_Jupyter_Python_SAS.ipynb b/documents/notebooks/notebook_Jupyter_Python_SAS.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..2d7cb6c2c980fc395e6a51cbe759eb39407804bb --- /dev/null +++ b/documents/notebooks/notebook_Jupyter_Python_SAS.ipynb @@ -0,0 +1,1630 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notebook Python SAS\n", + "\n", + "## Import des données dans Python" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countmeanstdmin25%50%75%max
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" + ], + "text/plain": [ + " count mean std min 25% 50% 75% max\n", + "speed 50.0 15.40 5.287644 4.0 12.0 15.0 19.0 25.0\n", + "dist 50.0 42.98 25.769377 2.0 26.0 36.0 56.0 120.0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_python.describe().transpose()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Summary avec SAS" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SAS Connection established. Subprocess id is 4708\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "Libref = WORK\n", + "Table = _df\n", + "Dsopts = {}\n", + "Results = Pandas" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import saspy\n", + "session_sas = saspy.SASsession(cfgname='winlocal')\n", + "df_sas = session_sas.df2sd(df_python)\n", + "df_sas" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- La fonction `df2sd()` produit un objet Python, ici `df_sas`, qui contient une table SAS nommée `_df`.\n", + "- `SASPy` fournit des objets Python de haut niveau pour les principales procédures SAS.\n", + "- Toutes les fonctions SAS sont exécutables à l'aide de la commande magique `%%SAS`.\n", + "- On applique les fonctions Python sur l'objet `df_sas` et les fonctions SAS sur l'objet `_df`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Statistiques descriptives

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"Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} \ No newline at end of file diff --git a/documents/notebooks/notebook_Jupyter_R.ipynb b/documents/notebooks/notebook_Jupyter_R.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..59e33b6c4d39cf95d43c777c5c20286f5449ccec --- /dev/null +++ b/documents/notebooks/notebook_Jupyter_R.ipynb @@ -0,0 +1,75 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notebook R" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + " speed dist \n", + " Min. : 4.0 Min. : 2.00 \n", + " 1st Qu.:12.0 1st Qu.: 26.00 \n", + " Median :15.0 Median : 36.00 \n", + " Mean :15.4 Mean : 42.98 \n", + " 3rd Qu.:19.0 3rd Qu.: 56.00 \n", + " Max. :25.0 Max. :120.00 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "summary(cars)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "plot without title" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot(cars)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "R", + "language": "R", + "name": "ir" + }, + "language_info": { + "codemirror_mode": "r", + "file_extension": ".r", + "mimetype": "text/x-r-source", + "name": "R", + "pygments_lexer": "r", + "version": "3.5.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/documents/notebooks/notebook_Jupyter_SAS.ipynb b/documents/notebooks/notebook_Jupyter_SAS.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..e40b45c0488fe53afbc3af3444ba2e9401280ef6 --- /dev/null +++ b/documents/notebooks/notebook_Jupyter_SAS.ipynb @@ -0,0 +1,2453 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Notebook SAS" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Les notebooks SAS reposent sur l'ods. On peut donc utiliser les fonctionnalités de l'ods." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SAS Connection established. Subprocess id is 4596\n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "\r\n", + "\r\n", + "\r\n", + "\r\n", + "\r\n", + "Sortie SAS\r\n", + "\r\n", + "\r\n", + "\r\n", + "

Sortie SAS

\r\n", + "
\r\n", + "

La MEANS Procédure

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\r\n", + "

Statistiques descriptives

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VariableNMoyenneEcart-typeMinimumMaximum
\r\n", + "
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Age
\r\n", + "
Height
\r\n", + "
Weight
\r\n", + "
\r\n", + "		\r\n", + "
\r\n", + "
19
\r\n", + "
19
\r\n", + "
19
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\r\n", + "		\r\n", + "
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13.3157895
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62.3368421
\r\n", + "
100.0263158
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\r\n", + "		\r\n", + "
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1.4926722
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5.1270752
\r\n", + "
22.7739335
\r\n", + "
\r\n", + "		\r\n", + "
\r\n", + "
11.0000000
\r\n", + "
51.3000000
\r\n", + "
50.5000000
\r\n", + "
\r\n", + "		\r\n", + "
\r\n", + "
16.0000000
\r\n", + "
72.0000000
\r\n", + "
150.0000000
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\r\n", + "
\r\n", + "
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Sortie SAS

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\r\n", + "

La SGPLOT Procédure

\r\n", + "
\r\n", + "

The SGPlot Procedure

\r\n", + "
\r\n", + "\"The\r\n", + "
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\r\n", + "\r\n", + "\r\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title 'Student Weight by Student Height';\n", + "proc sgplot data=sashelp.class noautolegend;\n", + " pbspline y=weight x=height;\n", + "run;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "En cas d'erreur, la log s'affiche dans le notebook :" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "

\n", + "\n", + "
\f",
+       "8                                                          Le Système SAS                           23:47 Monday, September 17, 2018

61         ods listing close;ods html5 (id=saspy_internal) file=_tomods1 options(bitmap_mode='inline') device=svg style=HTMLBlue;
61       ! ods graphics on / outputfmt=png;
NOTE: Writing HTML5(SASPY_INTERNAL) Body file: _TOMODS1
62         
63         proc means data sashelp.class;
                           _____________
                           73
ERROR 73-322: Expecting an =.
64         run;

NOTE: The SAS System stopped processing this step because of errors.
NOTE: PROCEDURE MEANS used (Total process time):
      real time           0.00 secondes
      cpu time            0.00 secondes
      
65         
66         ods html5 (id=saspy_internal) close;ods listing;
67
\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "proc means data sashelp.class;\n", + "run;" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "SAS", + "language": "sas", + "name": "sas" + }, + "language_info": { + "codemirror_mode": "sas", + "file_extension": ".sas", + "mimetype": "text/x-sas", + "name": "sas" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/documents/notebooks/notebook_Jupyter_html.ipynb b/documents/notebooks/notebook_Jupyter_html.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..a615ff82040c06ad8fdd8b516db98c1a17412174 --- /dev/null +++ b/documents/notebooks/notebook_Jupyter_html.ipynb @@ -0,0 +1,58 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Hello

" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import display, HTML\n", + "display(HTML('

Hello

'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Liens utiles :\n", + "\n", + "- https://stackoverflow.com/questions/43965823/convert-notebook-generated-html-snippet-to-latex-and-pdf\n", + "- https://github.com/jupyter/nbconvert/issues/474" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.0" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/documents/notebooks/notebook_Jupyter_html.pdf b/documents/notebooks/notebook_Jupyter_html.pdf new file mode 100644 index 0000000000000000000000000000000000000000..0014c3b9ea8b6f1c746d971c155455b881359540 Binary files /dev/null and b/documents/notebooks/notebook_Jupyter_html.pdf differ diff --git a/documents/notebooks/notebook_RStudio_Rmarkdown.pdf b/documents/notebooks/notebook_RStudio_Rmarkdown.pdf new file mode 100644 index 0000000000000000000000000000000000000000..63bcfc9c3bdc77ec2298bbf896ecd703c1d4abf1 Binary files /dev/null and b/documents/notebooks/notebook_RStudio_Rmarkdown.pdf differ diff --git a/documents/notebooks/notebook_RStudio_SASmarkdown.md b/documents/notebooks/notebook_RStudio_SASmarkdown.md new file mode 100644 index 0000000000000000000000000000000000000000..8794cf847dc583dc9ec724857ec6835bfebcc679 --- /dev/null +++ b/documents/notebooks/notebook_RStudio_SASmarkdown.md @@ -0,0 +1,91 @@ +SASmarkdown notebook +==================== + +Reference manual +================ + +[SASmarkdown.pdf](https://cran.r-project.org/web/packages/SASmarkdown/SASmarkdown.pdf) + +Configuration +============= + + ```{r setup, include=FALSE} + knitr::opts_chunk$set(echo = TRUE) + require(SASmarkdown) + saspath <- "C:/Program Files/SASHome/SASFoundation/9.4/sas.exe" + sasopts <- "-nosplash -ls 75" + knitr::opts_chunk$set(engine='sas', engine.path=saspath, + engine.opts=sasopts, comment="") + ``` + +Listing output +============== + + ```{r, engine='sas', collectcode=TRUE, error=FALSE} + proc means data=sashelp.class; + run; + + ods listing gpath='D:\figures'; + ods graphics / imagename="fig" imagefmt=png; + title 'Student Weight by Student Height'; + proc sgplot data=sashelp.class noautolegend; + pbspline y=weight x=height; + run; + ``` + + Procédure MEANS + + Variable N Moyenne Ecart-type Minimum Maximum + ------------------------------------------------------------------------- + Age 19 13.3157895 1.4926722 11.0000000 16.0000000 + Height 19 62.3368421 5.1270752 51.3000000 72.0000000 + Weight 19 100.0263158 22.7739335 50.5000000 150.0000000 + ------------------------------------------------------------------------- + +`![figure](D:\figures\fig.png)` + +![figure](images/fig.png) + +HTML output (vue du fichier pdf) +=========== + + ```{r, engine='sashtml', collectcode=TRUE, error=FALSE} + proc means data=sashelp.class; + run; + ``` + +Tableau mal converti en pdf + + Variable + N + Moyenne + Ecart-type + Minimum + Maximum + Age + Height + Weight + 19 + 19 + 19 + 13.3157895 + 62.3368421 + 100.0263158 + 1.4926722 + 5.1270752 + 22.7739335 + 11.0000000 + 51.3000000 + 50.5000000 + 16.0000000 + 72.0000000 + 150.0000000 + + ```{r, engine='sashtml', echo=FALSE, collectcode=TRUE, error=FALSE} + title 'Student Weight by Student Height'; + proc sgplot data=sashelp.class noautolegend; + pbspline y=weight x=height; + run; + ``` + +Pas de sortie graphique dans le fichier pdf. \ No newline at end of file diff --git a/documents/notebooks/notebook_RStudio_SASmarkdown.pdf b/documents/notebooks/notebook_RStudio_SASmarkdown.pdf new file mode 100644 index 0000000000000000000000000000000000000000..f8203f5a13630064acf8e9f48199dc881642332f Binary files /dev/null and b/documents/notebooks/notebook_RStudio_SASmarkdown.pdf differ