Cover Image

Introductory fisheries analyses with R /

Show other versions (1)

Bibliographic Details
Main Author:	Ogle, Derek H. (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Language Notes:	Text in English.
Published:	Boca Raton : CRC Press, Taylor & Francis Group, [2016]
Series:	Chapman & Hall/CRC the R series (CRC Press)
Subjects:	Fishery sciences > Computer programs. Fisheries > Computer programs. R (Computer program language) Halieutique > Logiciels. R (Langage de programmation) TECHNOLOGY & ENGINEERING > Agriculture > General. Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Introductory fisheries analyses with R /
by: Ogle, Derek H.
Published: (2016)

R /
Published: (2021)

Dealing with missing data with R programming.
Published: (2020)

Creating your own dictionary.
Published: (2017)

External dictionaries.
Published: (2017)

Writing code for R packages /
by: Wickham, Hadley
Published: (2016)

Writing great R code /
Published: (2015)

R für Data Science : Daten importieren, bereinigen, umformen, modellieren und visualisieren /
by: Wickham, Hadley, et al.
Published: (2018)

Practical Machine Learning in R.
by: Nwanganga, Fred
Published: (2020)

Training a support vector machine in R with mlr.
Published: (2020)

Training a support vector machine in R with mlr,
Published: (2020)

Complexity and readability measures.
Published: (2017)

Working with text files.
Published: (2017)

Keywords in context.
Published: (2017)

Introduction to R.
Published: (2018)

Wildcarding.
Published: (2017)

Advanced analytics with R and Tableau : advanced visual analytical solutions for your business /
by: Stirrup, Jen, et al.
Published: (2017)

Sports analytics in practice with R /
by: Kwartler, Ted, 1978-, et al.
Published: (2022)

Text analysis with R for students of literature /
by: Jockers, Matthew Lee, 1966-
Published: (2014)

TIDY MODELING WITH R a framework for modeling in the Tidyverse /
Published: (2022)

Using network graphs and R to visualize stories.
Published: (2022)

Visualizing data in R to explore datasets.
Published: (2021)

A beginners guide to R programming /
Published: (2018)

Probability : with applications and R /
by: Wagaman, Amy Shepherd, 1982-, et al.
Published: (2021)

Remote sensing data analysis in R /
by: Rani, Alka, et al.
Published: (2021)

Introduction to RStudio : values and vectors.
Published: (2017)

Understanding KNN function in R.
Published: (2019)

R for programmers : advanced techniques /
by: Zhang, Dan, 1983-
Published: (2017)

Reading text into R and creating metadata.
Published: (2017)

Parallel computing for data science : with examples in R, C++ and CUDA /
by: Matloff, Norman S.
Published: (2016)

Introduction to RStudio : print() and cat().
Published: (2017)

Introduction to RStudio : getting help with your R functions.
Published: (2017)

Programming fundamentals : the basics of for loops and how to use them.
Published: (2017)

INTRODUCTION TO R AND PYTHON FOR DATA ANALYSIS : a side-by-side approach.
by: Brown, Taylor R.
Published: (2023)

Modern data visualization with R.
Published: (2021)

Learn to test for multicollinearity in R with data from the English Health Survey (teaching dataset) (2002) /
by: Jones, Julie Scott, 1966-
Published: (2019)

Conceptual econometrics using R /
Published: (2019)

Financial, macro and micro econometrics using R /
Published: (2020)

ESSENTIALS OF BIG DATA ANALYTICS applications in R and Python /
by: CHAVAN, PALLAVI
Published: (2026)

Understanding system requirements for installing R and R studio.
Published: (2019)