Menu

Szukaj

Zamknij

Zaloguj się

Biblioteka

0,00 zł (0)

Koszyk

ODBIERZ TWÓJ BONUS :: »

Learning RStudio for R Statistical Computing Mark P.J. van der Loo, RStudio Inc, Edwin de Jonge, Mark van der Loo

Język publikacji: angielskim
Learning RStudio for R Statistical Computing Mark P.J. van der Loo, RStudio Inc, Edwin de Jonge, Mark van der Loo - okladka książki

Learning RStudio for R Statistical Computing Mark P.J. van der Loo, RStudio Inc, Edwin de Jonge, Mark van der Loo - okladka książki

Autorzy:
Mark P.J. van der Loo, RStudio Inc, Edwin de Jonge, Mark van der Loo
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
126
Dostępne formaty:
     PDF
     ePub
     Mobi

Ebook 29,90 zł najniższa cena z 30 dni

89,90 zł (-10%)
80,91 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

29,90 zł najniższa cena z 30 dni

Poleć tę książkę znajomemu Poleć tę książkę znajomemu!!

Przenieś na półkę

Do przechowalni

Prezent last minute w ebookpoint.pl
Data is coming at us faster, dirtier, and at an ever increasing rate. The necessity to handle many, complex statistical analysis projects is hitting statisticians and analysts across the globe. This book will show you how to deal with it like never before, thus providing an edge and improving productivity.
Learning RStudio for R Statistical Computing will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn about package development, coding principles, and version control with RStudio.
This book will help you to learn and understand RStudio features to effectively perform statistical analysis and reporting, code editing, and R development.
The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. You will then be able to explore the available features for effective coding, graphical analysis, R project management, report generation, and even project management.
Learning RStudio for R Statistical Computing is stuffed with feature-rich and easy-to-understand examples, through step-by-step instructions helping you to quickly master the most popular IDE for R development.

Wybrane bestsellery

O autorach książki

Mark van der Loo obtained his PhD at the Institute for Theoretical Chemistry at the University of Nijmegen (The Netherlands). Since 2007 he has worked at the statistical methodology department of the Dutch official statistics office (Statistics Netherlands). His research interests include automated data cleaning methods and statistical computing. At Statistics Netherlands he is responsible for the local R center of expertise, which supports and educates users on statistical computing with R. Mark has been teaching R for several years and coauthored a number of R packages that are available via CRAN: editrules, deducorrect, rspa, and extremevalues. A list of publications can be found via https://www.markvanderloo.eu.
Edwin de Jonge is a statistical consultant (methodologist) at Statistics Netherlands, which is the office that produces all official statistics of the Netherlands (census, labor force, environmental etc). He is consulted on data visualization, big data, clustering and R programming problems.



Having a background in theoretical and computational physics he has a research interest in computational statistics, including numerical methods. Edwin is (co)author of several R software packages on data cleaning, large data sets and visualization (editrules, deducorrect, tabplotd3, ffbase and whisker) and has authored a book on using RStudio.

Currently he is co-authoring a book for Wiley "Data cleaning with applications in R". He is an experienced R trainer.



His main research focuses on using visualization methods for exploratory data analysis including visualization of uncertainty and semantic technologies. Recent projects include:



- StatMine, visual exploration of output-data

- Visualisation techniques for Big Data

- Datacleaning algorithms

- Processing and analyzing Big data.
Mark van der Loo obtained his PhD at the Institute for Theoretical Chemistry at the University of Nijmegen (The Netherlands). Since 2007 he has worked at the statistical methodology department of the Dutch official statistics office (Statistics Netherlands). His research interests include automated data cleaning methods and statistical computing. At Statistics Netherlands he is responsible for the local R center of expertise, which supports and educates users on statistical computing with R. Mark has been teaching R for several years and coauthored a number of R packages that are available via CRAN: editrules, deducorrect, rspa, and extremevalues. A list of publications can be found via https://www.markvanderloo.eu.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
80,91 zł
Dodaj do koszyka
Sposób płatności
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.