03345cam a2200421 i 4500
17260897
20231121152430.0
120418s2012 inua 001 0 eng d
2012937909
9781118164303
paperback
(OCoLC)ocn769989920
BTCTA
eng
BTCTA
BDX
YDXCP
BWX
SVP
CLE
KSA
DLC
EG-CaTKH
rda
lccopycat
QA276.45.R3
G37 2012
005.133 GA.B 2012
23
Gardener, Mark,
author.
Beginning R :
the statistical programming language /
Mark Gardener.
Indianapolis :
John Wiley & Sons,
2012.
Indianapolis :
John Wiley & Sons,
2012.
xxvii, 475 pages :
illustrations,
24 cm.
text
txt
rdacontent
unmediated
n
rdamedia
volume
nc
rdacarrier
Wrox programmer to programmer
Includes index.
1. Introducing R: what it is and how to get it -- 2. Starting out: becoming familiar with R -- 3. Starting out: working with objects -- 4. Data: descriptive statistics and tabulation -- 5. Data: distribution -- 6. Simple hypothesis testing -- 7. Introduction to graphical analysis -- 8. Formula notation and complex statistics -- 9. Manipulating data and extracting components -- 10. Regression (linear modeling) -- 11. More about graphs -- 12. Writing your own scripts: beginning to program.
Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming R, the open source statistical language increasingly used to handle statistics and produces publication quality graphs, is notoriously complex. This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs. Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression. Provides beginning programming instruction for those who want to write their own scripts Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.
R (Computer program language)
Statistics
Data processing.
Programming languages (Electronic computers)
Programmer to programmer.
7
cbc
copycat
2
ncip
20
y-gencatlg
ddc
BK
0
0
ddc
0
0
Computing
KNOW
KNOW
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765.81
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0
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0
0
Computing
KNOW
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765.81
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BK
Amr.Khattab
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mona.romia
R
20231121
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