Data analysis and graphics using R: an example-based approach
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge [u.a.]
Cambridge Univ. Press
2007
|
| Edition: | 2. ed. |
| Series: | Cambridge series in statistical and probalistic mathematics
10 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Item Description: | Hier auch später erschienene, unveränderte Nachdrucke |
| Physical Description: | XXIII, 502 S. graph. Darst. |
| ISBN: | 0521861160 9780521861168 |
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MARC
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| 100 | 1 | |a Maindonald, John H. |d 1937- |e Verfasser |0 (DE-588)141432918 |4 aut | |
| 245 | 1 | 0 | |a Data analysis and graphics using R |b an example-based approach |c John Maindonald and W. John Braun |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Cambridge [u.a.] |b Cambridge Univ. Press |c 2007 | |
| 300 | |a XXIII, 502 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Cambridge series in statistical and probalistic mathematics |v 10 | |
| 500 | |a Hier auch später erschienene, unveränderte Nachdrucke | ||
| 630 | 0 | 4 | |a R (Computer program language) |
| 650 | 4 | |a Datenanalyse - R <Programm> | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a Statistics |x Data processing | |
| 650 | 4 | |a Statistics |x Graphic methods |x Data processing | |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
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| 689 | 0 | 1 | |a R |g Programm |0 (DE-588)4705956-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Braun, W. John |d 1963- |e Verfasser |0 (DE-588)13396440X |4 aut | |
| 830 | 0 | |a Cambridge series in statistical and probalistic mathematics |v 10 |w (DE-604)BV011442366 |9 10 | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-014873809 | ||
Record in the Search Index
| _version_ | 1804135469580025856 |
|---|---|
| adam_text | Contents
Preface
1
J.I An overview of
1.1.1
1.1.2
1.1.3
1.1.4
1.2
1.2.1
1.2.2
1.3
1.3.1
1.3.2
1.3.3
1.3.4
1.3.5
1.3.6
1.3.7
1.4
1.4.1
1.4.2
1.4.3*
/.5
1.5.1
1.5.2
1.5.3
1.5.4
1.5.5
1.5.6
1.5.7*
1.6
1.6.1
1.6.2
x
1.6.3
1.6.4
1.6.5
1.6.6
1.6.7
1.6.8
1.6.9
1.6.10
1.7
1.8
1.9
1.10
1.10.1
1.11
2
2.1
2.1.1
2.1.2
2.1.3
2.1.4
2.1.5*
2.1.6
2.1.7
2.2
2.2.1
2.2.2
2.2.3
2.2.4
2.3
2.3.1
2.3.2
2.3.3
2.3.4
2.3.5
2.3.6
2.3.7
2.4
2.5
2.5.1
2.6
3
3.1
3.1.1
Contents xi
3.1.2 Models
3.1.3
3.2
3.2.1
3.2.2
3.3
3.3.1
3.3.2
3.4
3.4.1
3.4.2
3.4.3
3.4.4
3.4.5
3.5
3.6
3.6.1
3.7
An introduction to formal inference
4.1
4.1.1
4.1.2
4.1.3
4.1.4
4.1.5*
4.1.6
4.2
4.2.1
4.2.2
4.2.3
4.2.4
4.3
4.3.1
4.3.2
4.4
4.4.1
4.4.2
4.4.3
4.4.4
4.5
4.6
4.6.1
4.6.2
Contents
4.7
intervals
4.7.1
4.7.2
4.7.3*
4.7.4
4.8*
4.8.1
4.8.2
4.8.3
4.9
4.10
4.10.1
4.11
Regression with a single predictor
5.1
5.1.1
5.1.2
5.1.3 Residualplots 147
5.1.4
5.1.5
5.2
5.3
5.3.1
5.3.2
5.3.3*
5.4
5.4.1
5.4.2
5.5
5.5.1
5.5.2
5.5.3*
5.6*
5.6.1*
5.7
5.7.1
5.7.2
5.8
5.9
5.10
5.11
Contents xiii
6 Multiple linear
6.1 Basic
6.1.1
6.1.2
6.1.3
6.1.4
6.2
6.2.1
6.2.2
6.2.3*
6.2.4
6.2.5
6.3
6.3.1
6.3.2
6.3.3
6.4
models
6.4.1
6.4.2
6.4.3
6.5
6.5.1
6.6
6.6.1
6.7
6.7.1
6.7.2
6.7.3
6.8
6.8.1
6.8.2
6.8.3
6.8.4*
6.8.5*
6.9
6.10
6.10.1
6.11
7
7.1
7.1.1
7.1.2
factors
xiv
7.2
7.2.1
7.2.2
7.3
7.4
7.4.1
7.5*
7.5.1
7.5.2*
7.5.3
7.6
7.6.1*
7.7
7.7.1
7.8
8
8.1
8.1.1
8.1.2
8.1.3
8.1.4
8.2
8.2.1
8.2.2
8.2.3
8.3
8.4
8.4.1
8.4.2
8.5
8.5.1*
8.5.2
8.5.3
8.6
8.6.1
8.6.2* Loglinear
8.7
8.7.1
8.7.2
8.7.3
8.7.4
8.7.5
8.8
8.9
Contents xv
8.9.1
8.70
9
9.1
9.1.1
9.1.2
9.1.3
9.1.4*
9.2*
9.3*
9.4
9.5
9.5.1
9.5.2
9.6
10
70.7
10.1.1
10.1.2
10.1.3
70.2
10.2.1
10.2.2
10.2.3
70.3
10.3.1
10.3.2
10.3.3*
10.3.4
10.3.5
10.3.6
10.3.7
of interest?
70.4
10.4.1
10.4.2
70.5
10.5.1
10.5.2
70.6
10.6.1
structure
10.6.2
xvi
10.7
errors
10.7.1
10.7.2
10.7.3
10.8
10.9
10.9.1
10.10
11
11.1
11.1.1
11.2
11.2.1
11.3
11.3.1
11.3.2
11.3.3
11.3.4
11.4
11.4.1
11.4.2
11.4.3
//.5
11.5.1
11.5.2
11.6
11.7
11.8
11.8.1
11.8.2
11.8.3
11.8.4
11.8.5
11.8.6
11.9
11.9.1
11.10
12
12.1
12.1.1
12.1.2
12.1.3
Contents xvii
12.2
12.2.1
12.2.2
12.2.3
12.2.4
12.3*
12.3.1
12.3.2
12.3.3
12.3.4
12.4
12.4.1
12.5
13
13.1
13.2*
training data
13.2.1
13.2.2
13.3
13.3.1
13.4
14
14.1
14.1.1*
14.1.2
14.1.3
14.2
14.2.1
14.2.2
14.3
14.3.1
14.3.2
14.3.3
14.3.4
14.3.5
14.3.6
14.4
14.5
14.6*
14.6.1
14.6.2
14.6.3
xviii Contents
14.7
14.7.1
14.7.2
14.7.3*
14.7.4
14.7.5
14.7.6
14.7.7
14.8
14.8.1
14.8.2
14.8.3
14.9
14.9.1
14.9.2
14.9.3
14.9.4
14.9.5
14.10
14.11
14.11.1
14.11.2
14.11.3
14.12
14.12.1
14.12.2*
14.12.3*
14.13
14.13.1
14.13.2
14.14
Epilogue
References
Index of
Index of Terms
Index of Authors
Color Plates after Page
Join the revolution ignited by the ground-breaking
tion to R. covering standard regression methods, then presenting more advanced top¬
ics, this book guides users through the practical and powerful tools that the
provides. The emphasis is on hands-on analysis, graphical display, and interpretation
of data. The many worked examples, taken from real-world research, are accompa¬
nied by commentary on what is done and why, A website provides computer code and
datasets,
ed exercises are also available. Assuming basic statistical knowledge and some
experience of data analysis, the book is ideal for research scientists, final-year under¬
graduate or graduate-level students of applied statistics, and practicing statisticians. It
is both for learning and for reference.
This Second Edition reflects changes in
on survival analysis, random coefficient models, and the handling of high-dimensional
data. The treatment of regression methods has been extended, including a brief dis¬
cussion of errors in predictor variables. Both text and code have been revised
throughout, and where possible simplified. New graphs have been added.
|
| adam_txt |
Contents
Preface
1
J.I An overview of
1.1.1
1.1.2
1.1.3
1.1.4
1.2
1.2.1
1.2.2
1.3
1.3.1
1.3.2
1.3.3
1.3.4
1.3.5
1.3.6
1.3.7
1.4
1.4.1
1.4.2
1.4.3*
/.5
1.5.1
1.5.2
1.5.3
1.5.4
1.5.5
1.5.6
1.5.7*
1.6
1.6.1
1.6.2
x
1.6.3
1.6.4
1.6.5
1.6.6
1.6.7
1.6.8
1.6.9
1.6.10
1.7
1.8
1.9
1.10
1.10.1
1.11
2
2.1
2.1.1
2.1.2
2.1.3
2.1.4
2.1.5*
2.1.6
2.1.7
2.2
2.2.1
2.2.2
2.2.3
2.2.4
2.3
2.3.1
2.3.2
2.3.3
2.3.4
2.3.5
2.3.6
2.3.7
2.4
2.5
2.5.1
2.6
3
3.1
3.1.1
Contents xi
3.1.2 Models
3.1.3
3.2
3.2.1
3.2.2
3.3
3.3.1
3.3.2
3.4
3.4.1
3.4.2
3.4.3
3.4.4
3.4.5
3.5
3.6
3.6.1
3.7
An introduction to formal inference
4.1
4.1.1
4.1.2
4.1.3
4.1.4
4.1.5*
4.1.6
4.2
4.2.1
4.2.2
4.2.3
4.2.4
4.3
4.3.1
4.3.2
4.4
4.4.1
4.4.2
4.4.3
4.4.4
4.5
4.6
4.6.1
4.6.2
Contents
4.7
intervals
4.7.1
4.7.2
4.7.3*
4.7.4
4.8*
4.8.1
4.8.2
4.8.3
4.9
4.10
4.10.1
4.11
Regression with a single predictor
5.1
5.1.1
5.1.2
5.1.3 Residualplots 147
5.1.4
5.1.5
5.2
5.3
5.3.1
5.3.2
5.3.3*
5.4
5.4.1
5.4.2
5.5
5.5.1
5.5.2
5.5.3*
5.6*
5.6.1*
5.7
5.7.1
5.7.2
5.8
5.9
5.10
5.11
Contents xiii
6 Multiple linear
6.1 Basic
6.1.1
6.1.2
6.1.3
6.1.4
6.2
6.2.1
6.2.2
6.2.3*
6.2.4
6.2.5
6.3
6.3.1
6.3.2
6.3.3
6.4
models
6.4.1
6.4.2
6.4.3
6.5
6.5.1
6.6
6.6.1
6.7
6.7.1
6.7.2
6.7.3
6.8
6.8.1
6.8.2
6.8.3
6.8.4*
6.8.5*
6.9
6.10
6.10.1
6.11
7
7.1
7.1.1
7.1.2
factors
xiv
7.2
7.2.1
7.2.2
7.3
7.4
7.4.1
7.5*
7.5.1
7.5.2*
7.5.3
7.6
7.6.1*
7.7
7.7.1
7.8
8
8.1
8.1.1
8.1.2
8.1.3
8.1.4
8.2
8.2.1
8.2.2
8.2.3
8.3
8.4
8.4.1
8.4.2
8.5
8.5.1*
8.5.2
8.5.3
8.6
8.6.1
8.6.2* Loglinear
8.7
8.7.1
8.7.2
8.7.3
8.7.4
8.7.5
8.8
8.9
Contents xv
8.9.1
8.70
9
9.1
9.1.1
9.1.2
9.1.3
9.1.4*
9.2*
9.3*
9.4
9.5
9.5.1
9.5.2
9.6
10
70.7
10.1.1
10.1.2
10.1.3
70.2
10.2.1
10.2.2
10.2.3
70.3
10.3.1
10.3.2
10.3.3*
10.3.4
10.3.5
10.3.6
10.3.7
of interest?
70.4
10.4.1
10.4.2
70.5
10.5.1
10.5.2
70.6
10.6.1
structure
10.6.2
xvi
10.7
errors
10.7.1
10.7.2
10.7.3
10.8
10.9
10.9.1
10.10
11
11.1
11.1.1
11.2
11.2.1
11.3
11.3.1
11.3.2
11.3.3
11.3.4
11.4
11.4.1
11.4.2
11.4.3
//.5
11.5.1
11.5.2
11.6
11.7
11.8
11.8.1
11.8.2
11.8.3
11.8.4
11.8.5
11.8.6
11.9
11.9.1
11.10
12
12.1
12.1.1
12.1.2
12.1.3
Contents xvii
12.2
12.2.1
12.2.2
12.2.3
12.2.4
12.3*
12.3.1
12.3.2
12.3.3
12.3.4
12.4
12.4.1
12.5
13
13.1
13.2*
training data
13.2.1
13.2.2
13.3
13.3.1
13.4
14
14.1
14.1.1*
14.1.2
14.1.3
14.2
14.2.1
14.2.2
14.3
14.3.1
14.3.2
14.3.3
14.3.4
14.3.5
14.3.6
14.4
14.5
14.6*
14.6.1
14.6.2
14.6.3
xviii Contents
14.7
14.7.1
14.7.2
14.7.3*
14.7.4
14.7.5
14.7.6
14.7.7
14.8
14.8.1
14.8.2
14.8.3
14.9
14.9.1
14.9.2
14.9.3
14.9.4
14.9.5
14.10
14.11
14.11.1
14.11.2
14.11.3
14.12
14.12.1
14.12.2*
14.12.3*
14.13
14.13.1
14.13.2
14.14
Epilogue
References
Index of
Index of Terms
Index of Authors
Color Plates after Page
Join the revolution ignited by the ground-breaking
tion to R. covering standard regression methods, then presenting more advanced top¬
ics, this book guides users through the practical and powerful tools that the
provides. The emphasis is on hands-on analysis, graphical display, and interpretation
of data. The many worked examples, taken from real-world research, are accompa¬
nied by commentary on what is done and why, A website provides computer code and
datasets,
ed exercises are also available. Assuming basic statistical knowledge and some
experience of data analysis, the book is ideal for research scientists, final-year under¬
graduate or graduate-level students of applied statistics, and practicing statisticians. It
is both for learning and for reference.
This Second Edition reflects changes in
on survival analysis, random coefficient models, and the handling of high-dimensional
data. The treatment of regression methods has been extended, including a brief dis¬
cussion of errors in predictor variables. Both text and code have been revised
throughout, and where possible simplified. New graphs have been added. |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Maindonald, John H. 1937- Braun, W. John 1963- |
| author_GND | (DE-588)141432918 (DE-588)13396440X |
| author_facet | Maindonald, John H. 1937- Braun, W. John 1963- |
| author_role | aut aut |
| author_sort | Maindonald, John H. 1937- |
| author_variant | j h m jh jhm w j b wj wjb |
| building | Verbundindex |
| bvnumber | BV021659291 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
| callnumber-raw | QA276.4 |
| callnumber-search | QA276.4 |
| callnumber-sort | QA 3276.4 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SK 830 SK 840 ST 250 ST 320 ST 600 ST 601 |
| classification_tum | MAT 620f DAT 368f |
| ctrlnum | (OCoLC)254802112 (DE-599)BVBBV021659291 |
| dewey-full | 519.50285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.50285 |
| dewey-search | 519.50285 |
| dewey-sort | 3519.50285 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV021659291 |
| illustrated | Illustrated |
| index_date | 2024-07-02T15:05:25Z |
| indexdate | 2024-07-09T20:41:00Z |
| institution | BVB |
| isbn | 0521861160 9780521861168 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014873809 |
| oclc_num | 254802112 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-355 DE-BY-UBR DE-1051 DE-945 DE-384 DE-634 DE-11 DE-188 DE-739 DE-20 DE-2070s |
| owner_facet | DE-91G DE-BY-TUM DE-355 DE-BY-UBR DE-1051 DE-945 DE-384 DE-634 DE-11 DE-188 DE-739 DE-20 DE-2070s |
| physical | XXIII, 502 S. graph. Darst. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| series | Cambridge series in statistical and probalistic mathematics |
| series2 | Cambridge series in statistical and probalistic mathematics |
| spelling | Maindonald, John H. 1937- Verfasser (DE-588)141432918 aut Data analysis and graphics using R an example-based approach John Maindonald and W. John Braun 2. ed. Cambridge [u.a.] Cambridge Univ. Press 2007 XXIII, 502 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Cambridge series in statistical and probalistic mathematics 10 Hier auch später erschienene, unveränderte Nachdrucke R (Computer program language) Datenanalyse - R <Programm> Datenverarbeitung Statistik Statistics Data processing Statistics Graphic methods Data processing Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s DE-604 Braun, W. John 1963- Verfasser (DE-588)13396440X aut Cambridge series in statistical and probalistic mathematics 10 (DE-604)BV011442366 10 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014873809&sequence=000005&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014873809&sequence=000006&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Maindonald, John H. 1937- Braun, W. John 1963- Data analysis and graphics using R an example-based approach Cambridge series in statistical and probalistic mathematics R (Computer program language) Datenanalyse - R <Programm> Datenverarbeitung Statistik Statistics Data processing Statistics Graphic methods Data processing Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4705956-4 |
| title | Data analysis and graphics using R an example-based approach |
| title_auth | Data analysis and graphics using R an example-based approach |
| title_exact_search | Data analysis and graphics using R an example-based approach |
| title_exact_search_txtP | Data analysis and graphics using R an example-based approach |
| title_full | Data analysis and graphics using R an example-based approach John Maindonald and W. John Braun |
| title_fullStr | Data analysis and graphics using R an example-based approach John Maindonald and W. John Braun |
| title_full_unstemmed | Data analysis and graphics using R an example-based approach John Maindonald and W. John Braun |
| title_short | Data analysis and graphics using R |
| title_sort | data analysis and graphics using r an example based approach |
| title_sub | an example-based approach |
| topic | R (Computer program language) Datenanalyse - R <Programm> Datenverarbeitung Statistik Statistics Data processing Statistics Graphic methods Data processing Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | R (Computer program language) Datenanalyse - R <Programm> Datenverarbeitung Statistik Statistics Data processing Statistics Graphic methods Data processing Datenanalyse R Programm |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014873809&sequence=000005&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014873809&sequence=000006&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV011442366 |
| work_keys_str_mv | AT maindonaldjohnh dataanalysisandgraphicsusingranexamplebasedapproach AT braunwjohn dataanalysisandgraphicsusingranexamplebasedapproach |