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    The description :analyzing the world of data science...

    This report updates in 23-Jun-2018

Created Date:2009-06-16
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r language training & data science market share analysis r4stats.com home articles articles r package equivalents to sas & spss book reviews software reviews(5) calling r from other software helping your organization migrate to r the popularity of data science software using excel for data entry why r is hard to learn blog books books author bios r for sas and spss users(3) r for stata users(1) downloads examples examples a practice data set basic r programming data export data import data management enhancing output graphics, ggplot2 graphics, traditional selecting variables and observations statistics workshops workshops webinar workshop comments workshop participants workshop: managing data with r workshop: r for sas, spss and stata users workshop: introduction to modern r photography credits articles r package equivalents to sas & spss book reviews software reviews (5) calling r from other software helping your organization migrate to r the popularity of data science software using excel for data entry why r is hard to learn r package equivalents to sas & spss book reviews bluesky statistics deducer jamovi rkward qualtrics, questinopro, s... calling r from other software helping your organization migrate to r the popularity of data science software using excel for data entry why r is hard to learn books author bios r for sas and spss users (3) r for stata users (1) downloads author bios free version interview regarding r for... second edition interview regarding r for... downloads home welcome to r4stats.com. this site’s mission is twofold: to analyze the world of data science, and to help people learn to use r. r is free, open source, software for data science that is similar to the “big three” commercial packages: sas, spss, and stata. welcome to r4stats.com! -bob muenchen in the menus above under articles you’ll find an analysis of data science software popularity; a list of add-on products for sas and spss as well as the r packages that do similar things; the many ways to call r from other software; and a few other articles. shorter commentary is listed under blog . a extensive set of programs showing how to do the same tasks in r, sas, spss and stata are listed under examples . you’ll find information about my books, r for sas and spss users and r for stata users under books . my reviews of other books is listed under miscellaneous . finally, under workshops , you can learn about the training i have offered in partnership with the american statistical association , datacamp.com , rstudio , new horizons computer learning centers , and xerox learning services . i welcome comments or suggestions regarding this site or data science in general, so feel free to contact me at [email protected] or on twitter, @bobmuenchen. 19 responses to home yang zhenkai says: october 10, 2012 at 11:14 am hi, i am a student studying statistics in ku leuven in belgium. recently my professor referred this website at class. and i find it is really helpful for my study. i am looking forward to more research and articles in your website! yang zhenkai reply bob muenchen says: october 10, 2012 at 7:25 pm hi yang zhenkai, i’m glad you found it useful! cheers, bob reply jim hamilton says: november 21, 2012 at 5:40 pm do you have any information on visualization packages such as d3 open source vs commercial packages. really enjoyed your articles on r! cheers, jim reply bob muenchen says: november 21, 2012 at 6:47 pm hi jim, no, i don’t have any info on the popularity of visualization packages. however, r’s ggplot2 package is wonderful & you can control it through plotbuilder: i’ve also been impressed by the free visit program: https://wci.llnl.gov/codes/visit/ d3 is new to me but it looks pretty interesting. cheers, bob reply bob muenchen says: february 27, 2013 at 10:12 am hi edwina, thanks, it’s just fascinating to watch the battle for dominance among these packages. cheers, bob reply sai m says: april 7, 2013 at 6:01 pm hi bob, i’m a graduate student at american university. i am writing about stat packages for an independent study. i would love your input/just to share it with you, because i use your blog as a source. reply bob muenchen says: april 8, 2013 at 7:29 am hi sai m, i’d be happy to help. you can reach me at [email protected] . cheers, bob reply tushar k says: june 13, 2014 at 8:54 am i stumbled across this website and found the topics on this website very relevant to the current analytics trends. i am interested in understanding the connectivity between r & hadoop framework like hive, pig as well as spotfire. i wonder if you would recommend any api’s for this purpose. reply bob muenchen says: june 17, 2014 at 7:41 pm hi tushar, sorry, but i haven’t had a chance to fiddle with those yet. cheers, bob reply kevin morgan says: january 30, 2015 at 10:12 pm hi bob: long time sas user who is looking to expand the tool box. recently picked up your book and have been really enjoying the process. just wanted to say thanks for writing the book and i can’t wait until i get to start digging into, modeling and displaying some of our corporate data. best regards, kevin morgan reply bob muenchen says: january 31, 2015 at 10:18 am hi kevin, i hope you enjoy the book. don’t forget to download the files from the downloads menu above. the corrections & clarifications file is especially important as a few things in r and ggplot2 have changed and those changes are documented there. if you think of things you’d like to see in the next edition (at least a year away) please let me know! cheers, bob reply moshood says: march 8, 2016 at 5:12 am hi bob, i dont have a background in data analytics, can i dive into the world of r or do i still need to do some refresher course. thanks reply [email protected] says: march 16, 2016 at 1:04 pm hi moshood, you can learn r as a programming language, but if you want to get into analytics, it would be good to get a book that introduces both at the same time. “introductory statistics with r” by dalgaard is a good choice. cheers, bob cheers, bob reply ankit jha says: october 27, 2016 at 2:00 pm hi bob, i like the examples section where you have showed data wrangling operations with implementations in multiple languages. can you suggest a python blog on similar lines ? reply bob muenchen says: december 28, 2016 at 10:13 am hi ankit, sorry but i don’t know of one. cheers, bob reply martin wissing says: may 1, 2017 at 6:02 am for french speaking users “comprendre et réaliser les tests statistiques à l’aide de r” by gaël millot is a great introductory course for both statistics and the use of r. martin reply bob muenchen says: may 1, 2017 at 8:35 am merci martin! reply kevin wang says: august 5, 2017 at 11:21 am hi bob, i am reading your “r for stata users”. thank you for writing such a useful and interesting handbook. do you plan to write a second (or revised) edition to follow the development of r and stata? i would be happy to buy it! reply bob muenchen says: september 18, 2017 at 9:35 am hi kevin, sorry for the slow reply, i’ve been out of town. i’m planning a new edition, but it’s probably two years away. the r side will benefit greatly from the tidyverse packages. if you have ideas, please send them my way & i’ll acknowledge you in the preface. cheers, bob reply leave a reply cancel reply r4stats.com proudly powered by wordpress. search r4stats.com search for: recent posts a comparative review of the bluesky statistics gui for r a comparative review of the deducer gui for r the popularity of point-and-click guis for r a comparative review of the rkward gui for r a review of qualtrics, questionpro, redcap, surveygizmo, & surveymonkey subscribe to r4stats.com enter your email address to receive notifications of new posts by email. email address quick links home articles blog books examples workshops © 2018 r4stats.com - all rights reserved. privacy policy x nextchecked: 1530176713 | not_dynamic_no_c

URL analysis for r4stats.com


http://r4stats.com/books/
http://r4stats.com/articles/book-reviews/
http://r4stats.com/examples/enhancing-output/
http://r4stats.com/examples/data-export/
http://r4stats.com/examples/data-management/
http://r4stats.com/#comment-11
http://r4stats.com/#comment-10
http://r4stats.com/#comment-13
http://r4stats.com/#comment-12
http://r4stats.com/#respond
http://r4stats.com/examples/graphics-traditional/
http://r4stats.com/books/authors/
http://r4stats.com/workshops/managing-data-with-r/
http://r4stats.com/examples/graphics-ggplot2/
http://r4stats.com/books/free-version/

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