Free R (programming language) software | Free statistical software
Emacs Speaks Statistics (ESS) is an Emacs package for programming in statistical languages. It adds two types of modes to emacs: 1. * ESS modes for editing statistical languages like R, SAS and Julia; and 2. * inferior ESS (iESS) modes for interacting with statistical processes like R and SAS. Modes of types (1) and (2) work seamlessly together. In addition, modes of type (1) provide the capability to submit a batch job for statistical packages like SAS, BUGS or JAGS when an interactive session is unwanted due to the potentially lengthy time required for the task to complete. With Emacs Speaks Statistics, the user can conveniently edit statistical language commands in one emacs buffer, and execute the code in a second. There are a number of advantages of doing data analysis using Emacs/ESS in this way, rather than interacting with R, S-PLUS or other software directly. First, as indicated above, ESS provides a convenient way of writing and executing code without frequently switching between programs. This also encourages the good practice of keeping a record of one's data analysis, equivalent to working from do-files in Stata. Third, since emacs is also an able editor of LaTeX files, it facilitates the integration of data analysis and written text with Sweave. (Wikipedia).
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
Lecture01 Introduction to this course on medical statistics
A new course in medical statistics using widely available spreadsheet software.
From playlist Medical Statistics
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Statistics Lecture 8.2: An Introduction to Hypothesis Testing
https://www.patreon.com/ProfessorLeonard Statistics Lecture 8.2: An Introduction to Hypothesis Testing
From playlist Statistics (Full Length Videos)
Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics
https://www.patreon.com/ProfessorLeonard Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics
From playlist Statistics (Full Length Videos)
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Learning probability distributions; What can, What can't be done - Shai Ben-David
Seminar on Theoretical Machine Learning Topic: Learning probability distributions; What can, What can't be done Speaker: Shai Ben-David Affiliation: University of Waterloo Date: May 7, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Clojure Conj 2012 - Clojure Data Science
Clojure Data Science by: Edmund Jackson Data science / big data exists at the overlap of traditional analytics and large scale computation. As such, neither the traditional tools of analytics (R, Mathematica, Matlab) nor mainstreams languages (Java, C++, C#) supply its requirements well a
From playlist Clojure Conf 2012
RubyConf 2018 - d[-_-]b REPL-ELECTRIC by Joseph Wilk
RubyConf 2018 - d[-_-]b REPL-ELECTRIC by Joseph Wilk
From playlist RubyConf 2018
Wes McKinney, author of Python for Data Analysis, and founder of Lambda Foundry talks about Python in the data space and why those using the R programming language should take a look at Python.
From playlist Programming Podcast
ElixirConf 2016 - Measuring your Elixir Application by Renan Ranelli
Measuring your Elixir Application by Renan Ranelli You can't optimize what you don't measure"". Collecting metrics is fundamental to any application, and in the {Elixir,Erlang} ecosystem we have already a lot of options to do so. In this talk, I will show we built our metrics dashboard at
From playlist ElixirConf 2016
A Year After ChefConf: Lessons, Shortcuts and Hilarious Bloopers - ChefConf 2016
Part of the "Welcome to Chef" track, this talk is intended for beginning Chef users. A year ago, I was new to Chef, so I came to ChefConf to learn. Now I'm sharing my current strategies, best practices, sketchy hacks and a blooper reel. I'll also lay out my current challenges and answer qu
From playlist ChefConf 2016
Introduction To Data Science With R, SAS & Excel | Simplilearn
This comprehensive training in Data Science comprises of the three most popular languages utilized in the industry: R, SAS and Excel. It is an all-in-one package for aspiring professionals to gain expertise in R programming language, SAS , MS Excel and essential statistical techniques. 🔥F
From playlist R Programming For Beginners [2022 Updated]
Statistics Lecture 3.4 Part 7: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow) — with Wes McKinney
Wes McKinney joins us to discuss the history and philosophy of pandas and Apache Arrow as well as his continued work in open source tools. In this episode you will learn: • History of pandas [5:18] • The trends of R and Python [21:20] • Python for Data Analysis [23:43] • pandas updates an
From playlist Super Data Science Podcast
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
Unix for Programmers - My Computer Science Degree in the Real World
I took a unix for programmers in college while pursuing my computer science degree. Today as a software engineer, I want to see what was carried over from that classroom to the real world of software development. ---------------------------------------------------------- I share and docu
From playlist Computer Science
INTRO TO STATISTICS AND MECHANICS PLAYLIST A-LEVEL MATHS
Introduction to Statistics and Mechanics Playlist Full Playlist:
From playlist A-LEVEL MATHS STATS AND MECHS
Is The Linux Community Necessary?
Tyler and Matt discuss the Linux Community. 👇 PULL IT DOWN FOR THE GOOD STUFF 👇 ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us 🐧🐧 ====== Discord - https://discord.gg/bPJ4A3bPbV Odysee - https://odysee.com/$/invite/@thelinuxcast:4 http://twitte
From playlist Season 6