語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Statistical Software." ]
切換:
標籤
|
MARC模式
|
ISBD
Practicing R for statistical computing
~
Aslam, Muhammad.
FindBook
Google Book
Amazon
博客來
Practicing R for statistical computing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practicing R for statistical computing/ by Muhammad Aslam, Muhammad Imdad Ullah.
作者:
Aslam, Muhammad.
其他作者:
Imdad Ullah, Muhammad.
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
xvii, 292 p. :ill., digital ;24 cm.
內容註:
Chapter 1. R Language: Introduction -- Chapter 2. Obtaining and Installing R Language -- Chapter 3. Using R as a Calculator -- Chapter 4. Data Mode and Data Structure -- Chapter 5. Working with Data -- Chapter 6. Descriptive Statistics -- Chapter 7. Probability and Probability Distributions -- Chapter 8. Confidence Intervals and Comparison Tests -- Chapter 9. Correlation & Regression Analysis -- Chapter 10. Graphing in R -- Chapter 11. Control Flow: election and Iteration -- Chapter 12. Functions and R Resources -- Chapter 13. Common Errors and Mistakes -- Chapter 14. Functions for Better Programming -- Chapter 15. Some Useful Functions -- Chapter 16. Important Packages.
Contained By:
Springer Nature eBook
標題:
Statistics - Computer programs. -
電子資源:
https://doi.org/10.1007/978-981-99-2886-6
ISBN:
9789819928866
Practicing R for statistical computing
Aslam, Muhammad.
Practicing R for statistical computing
[electronic resource] /by Muhammad Aslam, Muhammad Imdad Ullah. - Singapore :Springer Nature Singapore :2023. - xvii, 292 p. :ill., digital ;24 cm.
Chapter 1. R Language: Introduction -- Chapter 2. Obtaining and Installing R Language -- Chapter 3. Using R as a Calculator -- Chapter 4. Data Mode and Data Structure -- Chapter 5. Working with Data -- Chapter 6. Descriptive Statistics -- Chapter 7. Probability and Probability Distributions -- Chapter 8. Confidence Intervals and Comparison Tests -- Chapter 9. Correlation & Regression Analysis -- Chapter 10. Graphing in R -- Chapter 11. Control Flow: election and Iteration -- Chapter 12. Functions and R Resources -- Chapter 13. Common Errors and Mistakes -- Chapter 14. Functions for Better Programming -- Chapter 15. Some Useful Functions -- Chapter 16. Important Packages.
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R. The book also covers flow control and conditional calculations by using ''if'' conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them.
ISBN: 9789819928866
Standard No.: 10.1007/978-981-99-2886-6doiSubjects--Topical Terms:
658384
Statistics
--Computer programs.
LC Class. No.: HA32
Dewey Class. No.: 519.50285536
Practicing R for statistical computing
LDR
:03026nmm a2200349 a 4500
001
2333223
003
DE-He213
005
20230719103206.0
006
m d
007
cr nn 008maaau
008
240402s2023 si s 0 eng d
020
$a
9789819928866
$q
(electronic bk.)
020
$a
9789819928859
$q
(paper)
024
7
$a
10.1007/978-981-99-2886-6
$2
doi
035
$a
978-981-99-2886-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HA32
072
7
$a
PBT
$2
bicssc
072
7
$a
UFM
$2
bicssc
072
7
$a
COM077000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
UFM
$2
thema
082
0 4
$a
519.50285536
$2
23
090
$a
HA32
$b
.A835 2023
100
1
$a
Aslam, Muhammad.
$3
2162214
245
1 0
$a
Practicing R for statistical computing
$h
[electronic resource] /
$c
by Muhammad Aslam, Muhammad Imdad Ullah.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2023.
300
$a
xvii, 292 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1. R Language: Introduction -- Chapter 2. Obtaining and Installing R Language -- Chapter 3. Using R as a Calculator -- Chapter 4. Data Mode and Data Structure -- Chapter 5. Working with Data -- Chapter 6. Descriptive Statistics -- Chapter 7. Probability and Probability Distributions -- Chapter 8. Confidence Intervals and Comparison Tests -- Chapter 9. Correlation & Regression Analysis -- Chapter 10. Graphing in R -- Chapter 11. Control Flow: election and Iteration -- Chapter 12. Functions and R Resources -- Chapter 13. Common Errors and Mistakes -- Chapter 14. Functions for Better Programming -- Chapter 15. Some Useful Functions -- Chapter 16. Important Packages.
520
$a
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R. The book also covers flow control and conditional calculations by using ''if'' conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them.
650
0
$a
Statistics
$x
Computer programs.
$3
658384
650
0
$a
R (Computer program language)
$3
784593
650
1 4
$a
Statistics and Computing.
$3
3594429
650
2 4
$a
Statistical Software.
$3
3596845
700
1
$a
Imdad Ullah, Muhammad.
$3
3663813
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-99-2886-6
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9459428
電子資源
11.線上閱覽_V
電子書
EB HA32
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入