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1. 
Cover image for Linear algebra and its applications with R
Linear algebra and its applications with R
Author 
Yoshida, Ruriko, author.
Preferred Shelf Number 
QA185 .D37
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003042259
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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2. 
Cover image for Data Structures using C : A Practical Approach for Beginners.
Data Structures using C : A Practical Approach for Beginners.
Author 
Jagtap, Amol M. Mali, Ajit S.
Preferred Shelf Number 
QA76.9 .D35
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003105800
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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3. 
Cover image for Applied meta-analysis with R and Stata
Applied meta-analysis with R and Stata
Author 
Chen, Ding-Geng, author. Peace, Karl E., 1941- author.
Preferred Shelf Number 
R853 .M48
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429061240
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4. 
Cover image for Event history analysis with R
Event history analysis with R
Author 
Broström, Göran, author.
Preferred Shelf Number 
H61
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429503764
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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5. 
Cover image for Computational genomics with R
Computational genomics with R
Author 
Akalin, Altuna, author.
Preferred Shelf Number 
QH441.2
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429084317
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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6. 
Cover image for Doing Meta-Analysis with R : A Hands-On Guide.
Doing Meta-Analysis with R : A Hands-On Guide.
Author 
Harrer, Mathias. Cuijpers, Pim. Furukawa, Toshi A. Ebert, David D.
Preferred Shelf Number 
R853 .M48
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003107347
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7. 
Cover image for Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction
Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction
Author 
Tsai, Kao-Tai, author.
Preferred Shelf Number 
QA76.9 .D343
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003205685
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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8. 
Cover image for Using R for Bayesian spatial and spatio-temporal health modeling
Using R for Bayesian spatial and spatio-temporal health modeling
Author 
Lawson, Andrew (Andrew B.), author.
Preferred Shelf Number 
RA409.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003043997
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9. 
Cover image for Applied user data collection and analysis using JavaScript and PHP
Applied user data collection and analysis using JavaScript and PHP
Author 
Goslin, Kyle, author. Hofmann, Markus (Computer scientist), author.
Preferred Shelf Number 
ZA4235
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003163541
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10. 
Cover image for Supervised machine learning : optimization framework and applications with SAS and R
Supervised machine learning : optimization framework and applications with SAS and R
Author 
Kolosova, Tanya, author. Berestizhevsky, Samuel, author.
Preferred Shelf Number 
Q325.75 .K65 2021 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429297595
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11. 
Cover image for Linear Regression Models : Applications in R.
Linear Regression Models : Applications in R.
Author 
Hoffmann, John P.
Preferred Shelf Number 
QA278.2
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003162230
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12. 
Cover image for Numerical recipes in quantum information theory and quantum computing : an adventure in FORTRAN 90
Numerical recipes in quantum information theory and quantum computing : an adventure in FORTRAN 90
Author 
Ramkarthik, M. S., author. Solanki, Payal D., author.
Preferred Shelf Number 
QA76.73 .F25
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003164678
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