Biostatistics with R: an introductory guide for field biologists
"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 publ...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cambridge, UK
Cambridge University Press
2020
|
Schlagworte: | |
Zusammenfassung: | "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"-- |
Beschreibung: | Includes index |
Beschreibung: | xvi, 365 Seiten Illustrationen, Diagramme |
ISBN: | 9781108480383 9781108727341 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV046814426 | ||
003 | DE-604 | ||
005 | 20210401 | ||
007 | t | ||
008 | 200720s2020 a||| |||| 00||| eng d | ||
020 | |a 9781108480383 |c hardback |9 978-1-108-48038-3 | ||
020 | |a 9781108727341 |c paperback |9 978-1-108-72734-1 | ||
035 | |a (OCoLC)1184514743 | ||
035 | |a (DE-599)BVBBV046814426 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-20 |a DE-355 |a DE-Eb1 |a DE-11 |a DE-739 | ||
084 | |a WC 7000 |0 (DE-625)148142: |2 rvk | ||
084 | |a WC 7700 |0 (DE-625)148144: |2 rvk | ||
084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
100 | 1 | |a Lepš, Jan |d 1953- |e Verfasser |0 (DE-588)132209039 |4 aut | |
245 | 1 | 0 | |a Biostatistics with R |b an introductory guide for field biologists |c Jan Lepš, University of South Bohemia, Czech Republic, Petr Šmilauer, University of South Bohemia, Czech Republic |
264 | 1 | |a Cambridge, UK |b Cambridge University Press |c 2020 | |
300 | |a xvi, 365 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Includes 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"-- | ||
650 | 4 | |a Biometry | |
650 | 4 | |a R (Computer program language) | |
650 | 0 | 7 | |a Biostatistik |0 (DE-588)4729990-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Biologie |0 (DE-588)4006851-1 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 0 | 1 | |a Biologie |0 (DE-588)4006851-1 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Biostatistik |0 (DE-588)4729990-3 |D s |
689 | 1 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
689 | 1 | |5 DE-604 | |
700 | 1 | |a Šmilauer, Petr |d 1967- |e Verfasser |0 (DE-588)132209063 |4 aut | |
999 | |a oai:aleph.bib-bvb.de:BVB01-032222912 |
Datensatz im Suchindex
_version_ | 1804181622533128192 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Lepš, Jan 1953- Šmilauer, Petr 1967- |
author_GND | (DE-588)132209039 (DE-588)132209063 |
author_facet | Lepš, Jan 1953- Šmilauer, Petr 1967- |
author_role | aut aut |
author_sort | Lepš, Jan 1953- |
author_variant | j l jl p š pš |
building | Verbundindex |
bvnumber | BV046814426 |
classification_rvk | WC 7000 WC 7700 ST 250 |
ctrlnum | (OCoLC)1184514743 (DE-599)BVBBV046814426 |
discipline | Biologie Informatik |
discipline_str_mv | Biologie Informatik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02891nam a2200469 c 4500</leader><controlfield tag="001">BV046814426</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210401 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">200720s2020 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108480383</subfield><subfield code="c">hardback</subfield><subfield code="9">978-1-108-48038-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108727341</subfield><subfield code="c">paperback</subfield><subfield code="9">978-1-108-72734-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1184514743</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046814426</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-20</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-Eb1</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-739</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7000</subfield><subfield code="0">(DE-625)148142:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7700</subfield><subfield code="0">(DE-625)148144:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lepš, Jan</subfield><subfield code="d">1953-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)132209039</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Biostatistics with R</subfield><subfield code="b">an introductory guide for field biologists</subfield><subfield code="c">Jan Lepš, University of South Bohemia, Czech Republic, Petr Šmilauer, University of South Bohemia, Czech Republic</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, UK</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvi, 365 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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"--</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biometry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Biostatistik</subfield><subfield code="0">(DE-588)4729990-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Biologie</subfield><subfield code="0">(DE-588)4006851-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Biologie</subfield><subfield code="0">(DE-588)4006851-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Biostatistik</subfield><subfield code="0">(DE-588)4729990-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">R</subfield><subfield code="g">Programm</subfield><subfield code="0">(DE-588)4705956-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Šmilauer, Petr</subfield><subfield code="d">1967-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)132209063</subfield><subfield code="4">aut</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032222912</subfield></datafield></record></collection> |
id | DE-604.BV046814426 |
illustrated | Illustrated |
index_date | 2024-07-03T14:59:50Z |
indexdate | 2024-07-10T08:54:35Z |
institution | BVB |
isbn | 9781108480383 9781108727341 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032222912 |
oclc_num | 1184514743 |
open_access_boolean | |
owner | DE-20 DE-355 DE-BY-UBR DE-Eb1 DE-11 DE-739 |
owner_facet | DE-20 DE-355 DE-BY-UBR DE-Eb1 DE-11 DE-739 |
physical | xvi, 365 Seiten Illustrationen, Diagramme |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Lepš, Jan 1953- Verfasser (DE-588)132209039 aut Biostatistics with R an introductory guide for field biologists Jan Lepš, University of South Bohemia, Czech Republic, Petr Šmilauer, University of South Bohemia, Czech Republic Cambridge, UK Cambridge University Press 2020 xvi, 365 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes 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"-- Biometry R (Computer program language) Biostatistik (DE-588)4729990-3 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf R Programm (DE-588)4705956-4 s Biologie (DE-588)4006851-1 s DE-604 Biostatistik (DE-588)4729990-3 s Šmilauer, Petr 1967- Verfasser (DE-588)132209063 aut |
spellingShingle | Lepš, Jan 1953- Šmilauer, Petr 1967- Biostatistics with R an introductory guide for field biologists Biometry R (Computer program language) Biostatistik (DE-588)4729990-3 gnd R Programm (DE-588)4705956-4 gnd Biologie (DE-588)4006851-1 gnd |
subject_GND | (DE-588)4729990-3 (DE-588)4705956-4 (DE-588)4006851-1 |
title | Biostatistics with R an introductory guide for field biologists |
title_auth | Biostatistics with R an introductory guide for field biologists |
title_exact_search | Biostatistics with R an introductory guide for field biologists |
title_exact_search_txtP | Biostatistics with R an introductory guide for field biologists |
title_full | Biostatistics with R an introductory guide for field biologists Jan Lepš, University of South Bohemia, Czech Republic, Petr Šmilauer, University of South Bohemia, Czech Republic |
title_fullStr | Biostatistics with R an introductory guide for field biologists Jan Lepš, University of South Bohemia, Czech Republic, Petr Šmilauer, University of South Bohemia, Czech Republic |
title_full_unstemmed | Biostatistics with R an introductory guide for field biologists Jan Lepš, University of South Bohemia, Czech Republic, Petr Šmilauer, University of South Bohemia, Czech Republic |
title_short | Biostatistics with R |
title_sort | biostatistics with r an introductory guide for field biologists |
title_sub | an introductory guide for field biologists |
topic | Biometry R (Computer program language) Biostatistik (DE-588)4729990-3 gnd R Programm (DE-588)4705956-4 gnd Biologie (DE-588)4006851-1 gnd |
topic_facet | Biometry R (Computer program language) Biostatistik R Programm Biologie |
work_keys_str_mv | AT lepsjan biostatisticswithranintroductoryguideforfieldbiologists AT smilauerpetr biostatisticswithranintroductoryguideforfieldbiologists |