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Biostatistics with R: an introductory guide for field biologists/

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biostatistics with R: / Jan Lepš, Petr Šmilauer
Reminder of title:	an introductory guide for field biologists/
Author:	Lepš, Jan,
other author:	Šmilauer, Petr,
Published:	Cambridge, U.K. ;Cambridge University Press, : 2020,
Description:	xvi, 365 p.: ill.; : 26cm;
基督教聖經之智慧書導讀 :	"Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets and thoroughly explained, step-by-step R code demonstrating the analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience of interested readers, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses"--
Subject:	R (Computer program language) -
ISBN:	9781108480383 (hard) :

Biostatistics with R: an introductory guide for field biologists/
Lepš, Jan,1953-

Biostatistics with R: an introductory guide for field biologists/ Jan Lepš, Petr Šmilauer - Cambridge, U.K. ;Cambridge University Press, 2020 - xvi, 365 p.: ill.; 26cm

Includes bibliographical references and index.

"Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets and thoroughly explained, step-by-step R code demonstrating the analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience of interested readers, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses"--

ISBN: 9781108480383 (hard) :NT2920

LCCN: 2020029470Subjects--Topical Terms:

253547
R (Computer program language)

Biostatistics with R: an introductory guide for field biologists/
LDR:01766cam a2200181 a 4500 001 365757
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008 231108s2020 enka b 001 0 eng
010 $a 2020029470
020 $a 9781108480383 (hard) : $c NT2920
020 $a 9781108727341 (pbk.)
020 $a 9781108616041 (epub)
040 $a KMU
087 $a 360.13 $b L611 2020
100 1 $a Lepš, Jan, $d 1953- $3 499589
245 1 0 $a Biostatistics with R: $b an introductory guide for field biologists/ $c Jan Lepš, Petr Šmilauer
260 # $a Cambridge, U.K. ; $a New York, NY : $b Cambridge University Press, $c 2020
300 $a xvi, 365 p.: $b ill.; $c 26cm
504 $a Includes bibliographical references and index.
520 # $a "Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets and thoroughly explained, step-by-step R code demonstrating the analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience of interested readers, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses"-- $c Provided by publisher.
650 # 0 $2 96060 $a R (Computer program language) $3 253547
650 # 0 $2 96060 $a Biometry. $3 243084
700 1 # $a Šmilauer, Petr, $d 1967- $3 499590

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