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bayesianbiologist | Corey Chivers on P(A|B) ∝P(B|A)P(A) | bayesianbiologist.com Reviews
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Corey Chivers on P(A|B) ∝P(B|A)P(A)
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datascience | bayesianbiologist
https://bayesianbiologist.com/tag/datascience
Corey Chivers on P(A B) P(B A)P(A). March 28, 2015. R style default plot for Pandas DataFrame. The default plot method for dataframes in R is to show each numeric variable in a pair-wise scatter plot. I find this to be a really useful first look at a dataset, both to see correlations and joint distributions between variables, but also to quickly diagnose potential strangeness like bands of repeating values or outliers. February 6, 2014. Guest post by Matt Sundquist of plot.ly. Your username is: MattSundq...
preview | bayesianbiologist
https://bayesianbiologist.com/tag/preview
Corey Chivers on P(A B) P(B A)P(A). September 14, 2014. One datavis for you, ten for me. Over the years of my graduate studies I made a lot of plots. I mean tonnes. To get an extremely conservative estimate I grep’ed for every instance of “plot (” in all of the many R scripts I wrote over the past five years. Find -iname *.R -print0 xargs -L1 -0 egrep -r plot( wc -l 2922. A) Communication between you and data. B) Communication between you and someone else. At the very least. In the second mode, you are t...
Rstats | bayesianbiologist
https://bayesianbiologist.com/category/rstats
Corey Chivers on P(A B) P(B A)P(A). July 14, 2016. That’s like so random! Monte Carlo for Data Science. Posted in health care. Another great turnout at the DataPhilly meetup last night. Was great to see all you random data nerds! Code snippets to generate animated examples here. February 5, 2016. Speaking at DataPhilly February 2016. Posted in decision making. The next DataPhilly meetup. Hope to see you there! Thursday, February 18, 2016. University of Pennsylvania Institute for Biomedical Informatics.
data science | bayesianbiologist
https://bayesianbiologist.com/tag/data-science
Corey Chivers on P(A B) P(B A)P(A). Tag Archives: data science. July 14, 2016. That’s like so random! Monte Carlo for Data Science. Posted in health care. Another great turnout at the DataPhilly meetup last night. Was great to see all you random data nerds! Code snippets to generate animated examples here. February 19, 2016. Introduction to Machine Learning Talk. Posted in decision making. There was an amazing turnout at last night’s DataPhilly meetup. Giving an awesome talk on #machinelearning. Between ...
plots | bayesianbiologist
https://bayesianbiologist.com/tag/plots
Corey Chivers on P(A B) P(B A)P(A). September 14, 2014. One datavis for you, ten for me. Over the years of my graduate studies I made a lot of plots. I mean tonnes. To get an extremely conservative estimate I grep’ed for every instance of “plot (” in all of the many R scripts I wrote over the past five years. Find -iname *.R -print0 xargs -L1 -0 egrep -r plot( wc -l 2922. A) Communication between you and data. B) Communication between you and someone else. At the very least. In the second mode, you are t...
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R | Mathew Analytics
https://mathewanalytics.com/category/r
Introduction to the RMS Package. February 5, 2017. We start this introduction to the rms package with the datadist function, which computes statistical summaries of predictors to automate estimation and plotting of effects. The user will generally supply the final data frame to the datadist function and set the data distribution using the options function. Note that if you modify the data in your data frame, then you will need to reset the distribution summaries using datadist. This may not seem like any...
The surprisingly weak case for global warming « Probability and statistics blog
http://www.statisticsblog.com/2012/12/the-surprisingly-weak-case-for-global-warming
Probability and statistics blog. In Monte Carlo We Trust. The surprisingly weak case for global warming. I welcome your thoughts on this post, but please read through to the end before commenting. Also, you’ll find the related code (in R) at the end. For those new to this blog, you may be taken aback (though hopefully not bored or shocked! TL;DR (simple version): Statistician does a test, fails to find evidence of global warming. The earth has been getting warmer. This warming is part of a long term (sec...
Statistical Reading Rainbow | Mathew Analytics
https://mathewanalytics.com/2016/10/17/statistical-reading-rainbow
October 17, 2016. Statistics in Plain English – Urdan. Clear, concise, and covers all the fundamental items that one would need to know. Everything from descriptive statistics to linear regression are covered, with many good examples. Even if you never use ANOVA or factor analysis, this is a good book to review and one that I strongly recommend to people who are interested in data science. Principles of Statistics – Balmer. Fundamentals of Modern Statistical Methods – Wilcox. While I don’t regularl...
sql | Mathew Analytics
https://mathewanalytics.com/category/sql
October 11, 2016. I’ve been putting together a basic SQL cheat sheet that could be used as a reference guide. Here are a series of common procedures that should be of use for anyone who uses SQL to extract data. No explanations are provided as they should largely be known to the end user. Turning Data Into Awesome With sqldf and pandasql. June 29, 2015. SELECT COUNT(*) FROM df2 WHERE state = 'CA'") COUNT(*) 1 4 sqldf. 1 David Spade -2.09 TX 2 Joe Montana 1.16 TX sqldf. COUNT(df1.var1) 1 AZ 1 2 CA. 0 Davi...
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A ‘leave-one-out’ function | ecology & stats
https://stevencarlislewalker.wordpress.com/2013/09/19/a-leave-one-out-function
What I do here…. Who I am…. A ‘leave-one-out’ function. September 19, 2013. Here’s a little function I often put at the beginning of R scripts in which I’m going to do a lot of cross validation:. Loo - function(data) lapply(1:nrow(data), function(i) data[-i,]). It usually works pretty well just as is, but sometimes needs additional bells and whistles (e.g. K-fold CV). Its also stupid slow for big data sets, but its some nice sugar for most of my CV problems. From → R. Leave a Reply Cancel reply.
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Lie, cheat, and steal: modelling advice from Stephen Ellner and John Guckenheimer: | ecology & stats
https://stevencarlislewalker.wordpress.com/2013/09/02/lie-cheat-and-steal-modelling-advice-from-stephen-ellner-and-john-guckenheimer
What I do here…. Who I am…. Lie, cheat, and steal: modelling advice from Stephen Ellner and John Guckenheimer:. September 2, 2013. Of Ellner and Guckenheimer’s fantastic book. Three Commandments for Modelers. The principles of model development can be summarized as three important rules: 1. Lie 2. Cheat 3. Steal. These require some elaboration:. From → books. Larr; Extensive coverage of special mathematical functions in R. A ‘leave-one-out’ function →. Leave one →. Leave a Reply Cancel reply.
stevencarlislewalker.wordpress.com
Extensive coverage of special mathematical functions in R | ecology & stats
https://stevencarlislewalker.wordpress.com/2013/08/26/extensive-coverage-of-special-mathematical-functions-in-r
What I do here…. Who I am…. Extensive coverage of special mathematical functions in R. August 26, 2013. Base R has some fairly limited coverage of special mathematical functions. At least compared with matlab and mathematica. They are all hiding in the gsl. From → computing. Larr; git push a local branch to a different remote branch. Lie, cheat, and steal: modelling advice from Stephen Ellner and John Guckenheimer: →. Leave a Reply Cancel reply. Enter your comment here. Address never made public).
statistics | Mathew Analytics
https://mathewanalytics.com/category/statistics-2
Batch Forecasting in R. December 29, 2016. First, let’s create some data. Ddat - data.frame. 2010/01/01"), as.Date. 1) , value1 = abs. 61), 2) , value2 = abs. 61), 2) , value3 = abs. 61), 2) ) head. We want to forecast future values of the three columns. Because we want to save the results of these models into a list, lets begin by creating a list that contains the same number of elements as our data frame. Data) lst - vector. Lst) - lst.names lst. N train=55){ lst.names - c. N train 1): nrow. Est, h=5)$...
Mathew Analytics | Page 2
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Newer posts →. Weekly R-Tips: Importing Packages and User Inputs. August 11, 2016. Number 1: Importing Multiple Packages. Anyone who has used R for some time has written code that required the use of multiple packages. In most cases, this will be done by using the library or require function to bring in the appropriate extensions. Library(forecast) library(ggplot2) library(stringr) library(lubridateee) library(rockchalk). Number 2: User Input. Automate the Boring Stuff: GGPlot2. July 27, 2016. Standard l...
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Bayesian Awakening | What is the Bayesian Awakening
What is the Bayesian Awakening? Web based Global Think Tank. What is the Bayesian Awakening? The awakening is a concept described by the first Visionary in the book Lazarus and Future man. In the book, he proposes that the brain is not the mind or self that we see in the mirror. Instead, the brain is the composer, the instruments are the rest of your body and what you know of as you is the song being played. The Visionary continues by pointing out that when our body repeats an action enough times; our mi...
Bayesian Bandit – More Arms Than You Can Shake a Stick At
More Arms Than You Can Shake a Stick At. Who Is The Bayesian Bandit? No Comments ↓. The order in which files get read. When you start a terminal shell. Tim Harford’s statistics advice for citizens fits on a postcard. Propublica release Wee People. Font for public use in data visualisation. Checking out the license, it inadvertently precludes violating this advice. From the WSJ Guide to Information Graphics. The difficulty of unique usernames. Recommended If You Are Me: A Puzzle for Contractualism. Heath&...
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Bayesian Believer
bayesianbiologist | Corey Chivers on P(A|B) ∝P(B|A)P(A)
Corey Chivers on P(A B) P(B A)P(A). December 15, 2017. Posted in health care. Some (opinionated) themes and highlights from this year’s NIPS conference:. November 13, 2017. Posted in decision making. Lately I’ve been thinking a lot about the connection between prediction models and the decisions that they influence. There is a lot of theory around this. But communicating how the various pieces all fit together with the folks who will use and be impacted by these decisions can be challenging. If you build...
Home • Bayesian Bodybuilding
Science. Logic. Data. This is bodybuilding 2.0. Online PT Course [English]. Bayesiaanse PT Cursus [Dutch]. Spanish PT Course [Spanish]. French PT Course [French]. Science. Logic. Data. This is bodybuilding 2.0. Never miss out on our newest articles? Subscribe and get free access to our muscular potential calculator! This iframe contains the logic required to handle Ajax powered Gravity Forms. Bro splits optimal after all? Minimalism, non-responders & training frequency [podcast]. Since my article on the ...
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Sunday, April 24, 2011. Using Dumbo to connect Cascading and Python. This post describes how I use Dumbo. To allow me to combine code written in python with Cascading. I want to use Cascading to express complicated work flows which can then be scheduled as a series of map-reduce jobs. Dumbo 0.21. My starting point was Nate Murray's post. Which showed how to integrate a Hadoop Streaming Job. Into Cascading. The limits of this approach are. Data is passed in and out of the python code as as text. Update 04...
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