語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
R by example
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
R by example/ by Jim Albert, Maria Rizzo.
作者:
Albert, Jim.
其他作者:
Rizzo, Maria L.
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
xv, 454 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
R (Computer program language) -
電子資源:
https://doi.org/10.1007/978-3-031-76074-7
ISBN:
9783031760747
R by example
Albert, Jim.
R by example
[electronic resource] /by Jim Albert, Maria Rizzo. - Second edition. - Cham :Springer Nature Switzerland :2024. - xv, 454 p. :ill., digital ;24 cm. - Use R!,2197-5744. - Use R!..
Introduction -- Quantitative Data -- Categorical Data -- Exploratory Data Analysis -- Presentation Graphics -- Importing Data -- Basic Inference Models -- Regression -- Analysis of Variance I -- Analysis of Variance II -- Randomization Tests -- Multivariate Data -- Simulation Experiments -- Bayesian Modeling -- Monte Carlo Methods.
Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.
ISBN: 9783031760747
Standard No.: 10.1007/978-3-031-76074-7doiSubjects--Topical Terms:
679069
R (Computer program language)
LC Class. No.: QA276.45.R3
Dewey Class. No.: 519.5028553
R by example
LDR
:02292nam a2200349 a 4500
001
1153935
003
DE-He213
005
20241210115229.0
006
m d
007
cr nn 008maaau
008
250619s2024 sz s 0 eng d
020
$a
9783031760747
$q
(electronic bk.)
020
$a
9783031760730
$q
(paper)
024
7
$a
10.1007/978-3-031-76074-7
$2
doi
035
$a
978-3-031-76074-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276.45.R3
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
082
0 4
$a
519.5028553
$2
23
090
$a
QA276.45.R3
$b
A333 2024
100
1
$a
Albert, Jim.
$3
528629
245
1 0
$a
R by example
$h
[electronic resource] /
$c
by Jim Albert, Maria Rizzo.
250
$a
Second edition.
260
$a
Cham :
$c
2024.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xv, 454 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Use R!,
$x
2197-5744
505
0
$a
Introduction -- Quantitative Data -- Categorical Data -- Exploratory Data Analysis -- Presentation Graphics -- Importing Data -- Basic Inference Models -- Regression -- Analysis of Variance I -- Analysis of Variance II -- Randomization Tests -- Multivariate Data -- Simulation Experiments -- Bayesian Modeling -- Monte Carlo Methods.
520
$a
Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.
650
0
$a
R (Computer program language)
$3
679069
650
0
$a
Mathematical statistics
$x
Computer programs.
$3
783196
650
0
$a
Programming languages (Electronic computers)
$3
596941
650
0
$a
Mathematics.
$3
527692
650
0
$a
Probabilities.
$3
527847
650
1 4
$a
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
1366002
650
2 4
$a
Statistics and Computing.
$3
1366004
650
2 4
$a
Probability and Statistics in Computer Science.
$3
669886
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Coding and Information Theory.
$3
669784
700
1
$a
Rizzo, Maria L.
$3
1481517
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Use R!.
$3
1197575
856
4 0
$u
https://doi.org/10.1007/978-3-031-76074-7
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入