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
Beginning R 4 = From Beginner to Pro /
~
Wiley, Joshua F.
Beginning R 4 = From Beginner to Pro /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Beginning R 4 / by Matt Wiley, Joshua F. Wiley.
其他題名:
From Beginner to Pro /
作者:
Wiley, Matt.
其他作者:
Wiley, Joshua F.
面頁冊數:
XX, 467 p. 110 illus., 66 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Probability and Statistics in Computer Science. -
電子資源:
https://doi.org/10.1007/978-1-4842-6053-1
ISBN:
9781484260531
Beginning R 4 = From Beginner to Pro /
Wiley, Matt.
Beginning R 4
From Beginner to Pro /[electronic resource] :by Matt Wiley, Joshua F. Wiley. - 1st ed. 2020. - XX, 467 p. 110 illus., 66 illus. in color.online resource.
1: Installing R -- 2: Installing Packages and Using Libraries -- 3: Data Input and Output -- 4: Working with Data -- 5: Data and Samples -- 6: Descriptive Statistics -- 7: Understanding Probability and Distribution -- 8: Correlation and Regression -- 9: Confidence Intervals -- 10: Hypothesis Testing -- 11: Multiple Regression -- 12: Moderated Regression -- 13: Analysts of Variance -- Bibliography.
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. You will: Acquire and install R and RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated regression solutions.
ISBN: 9781484260531
Standard No.: 10.1007/978-1-4842-6053-1doiSubjects--Topical Terms:
669886
Probability and Statistics in Computer Science.
LC Class. No.: QA76.7-76.73
Dewey Class. No.: 005.13
Beginning R 4 = From Beginner to Pro /
LDR
:03210nam a22004095i 4500
001
1030572
003
DE-He213
005
20201017115804.0
007
cr nn 008mamaa
008
210318s2020 xxu| s |||| 0|eng d
020
$a
9781484260531
$9
978-1-4842-6053-1
024
7
$a
10.1007/978-1-4842-6053-1
$2
doi
035
$a
978-1-4842-6053-1
050
4
$a
QA76.7-76.73
050
4
$a
QA76.76.C65
072
7
$a
UMX
$2
bicssc
072
7
$a
COM051010
$2
bisacsh
072
7
$a
UMX
$2
thema
072
7
$a
UMC
$2
thema
082
0 4
$a
005.13
$2
23
100
1
$a
Wiley, Matt.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1115958
245
1 0
$a
Beginning R 4
$h
[electronic resource] :
$b
From Beginner to Pro /
$c
by Matt Wiley, Joshua F. Wiley.
250
$a
1st ed. 2020.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2020.
300
$a
XX, 467 p. 110 illus., 66 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
1: Installing R -- 2: Installing Packages and Using Libraries -- 3: Data Input and Output -- 4: Working with Data -- 5: Data and Samples -- 6: Descriptive Statistics -- 7: Understanding Probability and Distribution -- 8: Correlation and Regression -- 9: Confidence Intervals -- 10: Hypothesis Testing -- 11: Multiple Regression -- 12: Moderated Regression -- 13: Analysts of Variance -- Bibliography.
520
$a
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. You will: Acquire and install R and RStudio Import and export data from multiple file formats Analyze data and generate graphics (including confidence intervals) Interactively conduct hypothesis testing Code multiple and moderated regression solutions.
650
2 4
$a
Probability and Statistics in Computer Science.
$3
669886
650
2 4
$a
Programming Techniques.
$3
669781
650
1 4
$a
Programming Languages, Compilers, Interpreters.
$3
669782
650
0
$a
Mathematical statistics.
$3
527941
650
0
$a
Computer programming.
$3
527822
650
0
$a
Programming languages (Electronic computers).
$3
1127615
700
1
$a
Wiley, Joshua F.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1070173
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484260524
776
0 8
$i
Printed edition:
$z
9781484260548
856
4 0
$u
https://doi.org/10.1007/978-1-4842-6053-1
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
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