Touchon Justin C (36 results)

paperback. Condition: Very Good. Clean Copy, May have light wear on cover/edges, otherwise very good! Established Seller, We Ship Daily.

Condition: good. Paperback Book.

Paperback. Condition: New. Over the past few decades, the life sciences have experienced an analytical revolution. With powerful computers now widely available, students and researchers are expected to perform increasingly advanced statistical analyses--previously the domain of only statistical experts. However, most undergraduate and graduate students still lack the proper formal training needed to succeed. Regardless of your experience level, this book will teach you in an efficient, accessible, and occasionally humorous manner, ensuring you understand how and when to perform your analyses.The book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life sciences. By using a single, real-world dataset throughout the book, readers will become deeply familiar with an imperfect but realistic set of data. Early chapters are designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques and gain an introduction to writing their own functions.Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, whether in the fields of ecology, evolution, environmental studies, psychology, or neuroscience.…

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

paperback. Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: new.

Condition: As New. Unread book in perfect condition.

Condition: New. 2025. Second. paperback. . . . . .

Condition: New. 2nd edition NO-PA16APR2015-KAP.

Paperback. Condition: Brand New. 2nd edition. 296 pages. 6.13x0.99x9.25 inches. In Stock.

Condition: New.

Condition: New. In English.

Condition: New.

Paperback / softback. Condition: New. New copy - Usually dispatched within 3 working days.

Condition: New. 2025. Second. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: Brand New. pap/psc edition. 313 pages. 9.00x6.50x0.75 inches. In Stock.

Condition: New.

Paperback. Condition: Brand New. 2nd edition. 296 pages. 6.13x0.99x9.25 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condition: Brand New. 304 pages. 9.76x6.89x0.87 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware - Over the past few decades, the life sciences have experienced an analytical revolution. With powerful computers now widely available, students and researchers are expected to perform increasingly advanced statistical analyses--previously the domain of only statistical experts. However, most undergraduate and graduate students still lack the proper formal training needed to succeed. Regardless of your experience level, this book will teach you in an efficient, accessible, and occasionally humorous manner, ensuring you understand how and when to perform your analyses.The book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life sciences. By using a single, real-world dataset throughout the book, readers will become deeply familiar with an imperfect but realistic set of data. Early chapters are designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques and gain an introduction to writing their own functions.Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, whether in the fields of ecology, evolution, environmental studies, psychology, or neuroscience.…

Paperback. Condition: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

hardcover. Condition: New.

Paperback. Condition: New. Over the past few decades, the life sciences have experienced an analytical revolution. With powerful computers now widely available, students and researchers are expected to perform increasingly advanced statistical analyses--previously the domain of only statistical experts. However, most undergraduate and graduate students still lack the proper formal training needed to succeed. Regardless of your experience level, this book will teach you in an efficient, accessible, and occasionally humorous manner, ensuring you understand how and when to perform your analyses.The book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life sciences. By using a single, real-world dataset throughout the book, readers will become deeply familiar with an imperfect but realistic set of data. Early chapters are designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques and gain an introduction to writing their own functions.Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, whether in the fields of ecology, evolution, environmental studies, psychology, or neuroscience.…

Condition: New. In English.

Hardback. Condition: New. Over the past few decades, the life sciences have experienced an analytical revolution. With powerful computers now widely available, students and researchers are expected to perform increasingly advanced statistical analyses--previously the domain of only statistical experts. However, most undergraduate and graduate students still lack the proper formal training needed to succeed. Regardless of your experience level, this book will teach you in an efficient, accessible, and occasionally humorous manner, ensuring you understand how and when to perform your analyses.The book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life sciences. By using a single, real-world dataset throughout the book, readers will become deeply familiar with an imperfect but realistic set of data. Early chapters are designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques and gain an introduction to writing their own functions.Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, whether in the fields of ecology, evolution, environmental studies, psychology, or neuroscience.…