Titre : | R for Microsoft® Excel users: making the transition for statistical analysis |
Auteurs : | Conrad CARLBERG |
Type de document : | Texte imprimé |
Editeur : | Harlow : Pearson Education, 2017 |
Importance matérielle : | 261 p. |
ISBN/ISSN/EAN : | 978-0-7897-5785-2 |
Langues: | Anglais |
Index. décimale : | 212.68 |
Mots-clés : |
[Classement] STATISTIQUE [Aciège 2017] ANALYSE DES DONNEES [Aciège 2017] TABLEUR |
Résumé : |
Microsoft Excel can perform many statistical analyses, but thousands of business users and analysts are now reaching its limits. R, in contrast, can perform virtually any imaginable analysis—if you can get over its learning curve. In R for Microsoft® Excel Users, Conrad Carlberg shows exactly how to get the most from both programs. Drawing on his immense experience helping organizations apply statistical methods, Carlberg reviews how to perform key tasks in Excel, and then guides you through reaching the same outcome in R—including which packages to install and how to access them. Carlberg offers expert advice on when and how to use Excel, when and how to use R instead, and the strengths and weaknesses of each tool. l |
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Code-barres | Cote | Support | Emplacement | Disponibilité |
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065381 | 212.68 CAR | Livre | Salle de lecture | Disponible |