An Introduction to R
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach eBooks & eLearning
Posted by Free butterfly at Nov. 28, 2024
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach by Taylor R. Brown
English | June 28, 2023 | ISBN: 1032203250 | 246 pages | MOBI | 18 Mb
English | June 28, 2023 | ISBN: 1032203250 | 246 pages | MOBI | 18 Mb
An Introduction to R and Python for Data Analysis eBooks & eLearning
Posted by hill0 at Sept. 8, 2024
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
An Introduction to R: Data Analysis and Visualization (Research Skills) eBooks & eLearning
Posted by Free butterfly at March 17, 2024
An Introduction to R: Data Analysis and Visualization (Research Skills) by Mark Gardener
English | July 1, 2023 | ISBN: 1784273376 | 384 pages | PDF | 4.81 Mb
English | July 1, 2023 | ISBN: 1784273376 | 384 pages | PDF | 4.81 Mb
An Introduction to R and Python for Data Analysis eBooks & eLearning
Posted by hill0 at Sept. 8, 2024
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
Beginning R: An Introduction to Statistical Programming (Repost) eBooks & eLearning
Posted by AvaxGenius at March 1, 2021
Beginning R: An Introduction to Statistical Programming by Larry Pace
English | PDF | 2012 | 322 Pages | ISBN : 1430245549 | 8.35 MB
Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.
Get started with R -Introduction to R-programming #Beginners eBooks & eLearning
Posted by lucky_aut at April 5, 2021
Get started with R -Introduction to R-programming #Beginners
Duration: 1h 26m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 415 MB
Genre: eLearning | Language: English
Duration: 1h 26m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 415 MB
Genre: eLearning | Language: English
Learn and harness the power of R and RStudio, R-programming for FREE . This course is ideal 4 Beginners in data science
An Introduction to R for Spatial Analysis and Mapping (repost) eBooks & eLearning
Posted by interes at April 24, 2019
An Introduction to R for Spatial Analysis and Mapping by Chris Brunsdon and Lex Comber
English | 2015 | ISBN: 1446272958, 144627294X | 360 pages | EPUB + azw3 | 8 + 8,7 MB
English | 2015 | ISBN: 1446272958, 144627294X | 360 pages | EPUB + azw3 | 8 + 8,7 MB
An Introduction to R and Python for Data Analysis: A Side-By-Side Approach eBooks & eLearning
Posted by yoyoloit at April 12, 2023
An Introduction to R and Python For Data Analysis: A Side-By-Side Approach
by Taylor R. Brown
English | 2023 | ISBN: 1032203250 | 267 pages | True PDF | 6.05 MB
by Taylor R. Brown
English | 2023 | ISBN: 1032203250 | 267 pages | True PDF | 6.05 MB
An Introduction to R for Spatial Analysis and Mapping eBooks & eLearning
Posted by libr at March 19, 2021
An Introduction to R for Spatial Analysis and Mapping (Spatial Analytics and GIS) by Chris Brunsdon, Lex Comber
English | January 10, 2019 | ISBN: 1526428490, 1526428504 | 336 pages | PDF + EPUB | 19 + 9 MB
English | January 10, 2019 | ISBN: 1526428490, 1526428504 | 336 pages | PDF + EPUB | 19 + 9 MB
An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing eBooks & eLearning
Posted by AvaxGenius at Sept. 20, 2019
An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing by Vikram Dayal
English | PDF,EPUB | 2015 | 117 Pages | ISBN : 813222339X | 5.58 MB
This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve.