varianceexplained.org
Variance ExplainedBlog on R, statistics, and education
http://www.varianceexplained.org/
Blog on R, statistics, and education
http://www.varianceexplained.org/
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Variance Explained | varianceexplained.org Reviews
https://varianceexplained.org
Blog on R, statistics, and education
varianceexplained.org
About Me – Variance Explained
http://varianceexplained.org/about
Data Scientist at Stack Overflow, works in R and Python. I am a Data Scientist at Stack Overflow. In May 2015 I received my PhD in Quantitative and Computational Biology. From Princeton University, where I worked with Professor John Storey. My interests include statistics, data analysis, genomics, education, and programming in R and Python. An R package for converting messy model outputs to a tidy format, for use with tools such as dplyr. R package for connecting to the Stack Exchange API. Robinson, D...
Data Analysis and Visualization Using R · R Data
http://varianceexplained.org/RData
Data Analysis and Visualization Using R. 1 Variables and Data Structures. 2 Visualizing Data Using ggplot2. 3 Statistical Testing and Prediction. 4 Exploratory Data Analysis with data.table. Data Analysis and Visualization Using R. This is a course that combines video, HTML and interactive elements to teach the statistical programming language R. Lesson 1: Variables and Data Structures. 15 Lists and Data Frames. 16 Logical Vectors and Operators. Lesson 2: Visualizing Data Using ggplot2.
View package downloads over time with Shiny – Variance Explained
http://varianceexplained.org/r/cran-view
Data Scientist at Stack Overflow, works in R and Python. View package downloads over time with Shiny. Almost everyone with an R package in CRAN wonders how often it’s installed and used. Two years ago RStudio kindly started offering anonymized logs of their downloads from their CRAN mirror. Which allows one to graph the number of downloads over time. Much easier than downloading and processing all of the log files, however, is working with RStudio’s JSON API. Which can be accessed with cranlogs.
Slides from my talk on the broom package – Variance Explained
http://varianceexplained.org/r/broom-slides
Data Scientist at Stack Overflow, works in R and Python. Slides from my talk on the broom package. This weekend I gave a presentation on my broom package. For tidying model objects (see my introduction here. At the UP-STAT 2015. Conference at SUNY Geneseo. I’m sharing the slides here. Along with some highlights below. I first explained how broom fits with other tidy tools such as dplyr. As part of an exploratory data analysis workflow:. And I showed how broom made the process easy:. April 13, 2015.
A Million Lines of Bad Code – Variance Explained
http://varianceexplained.org/programming/bad-code
Data Scientist at Stack Overflow, works in R and Python. A Million Lines of Bad Code. This is the story of some bad code I wrote. Early in my undergraduate days, I was working on a Java program that had to read a 6 MB file (a bacterial genome in FASTA format. Into a string. I did this with a for loop that on each iteration concatenated on to a string. It looked something like:. Null ) { text = text line; }. Building a string with a series of concatenations like this is. Be a better way. I discovered ...
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Bioconnector Workshops & Courses
http://bioconnector.org/workshops/index.html
Interactive Visualization with JavaScript and R. Reproducible Research and RMarkdown. Building Shiny Web Apps in R. Essential Statistics with R. Survival Analysis with TCGA Data. Harvesting Data from NCBI. NGS DATA ANALYSIS - -. FUTURE COURSES - -. Reproducible Research and RMarkdown. Essential Statistics with R. Survival Analysis with TCGA Data. Reproducible Research and RMarkdown. Bioconnector Workshops and Courses. Click here for instructions on setting up your computer for any of these workshops.
Data, Data Science and QA Learning's : Open Source Test Tools Vs Commercial Test Tools
http://sqlandsiva.blogspot.com/2014/10/open-source-test-tools-vs-commercial.html
Data, Data Science and QA Learning's. Started Primarily for SQL Learning's later extended to accommodate Data Science, QA, Domain, Tech, Work, Life related learning’s. No one is harder on a talented person than the person themselves" - Linda Wilkinson. Trust your guts and don't follow the herd" ; "Validate direction not destination" ;. October 20, 2014. Open Source Test Tools Vs Commercial Test Tools. Overall its a mix of Open Source Tools, Commercial Tools, In-House scripts, Quality practices in coding,...
Helpful Data Science Resources Elsewhere – data science ish
http://juliasilge.com/blogroll
A Blog by Julia Silge. Helpful Data Science Resources Elsewhere. Jobs for R Users. No Free Hunch @ Kaggle. MultiThreaded @ Stitch Fix.
Analyzing #first7jobs tweets with MonkeyLearn and R | MonkeyLearn Blog
https://blog.monkeylearn.com/analyzing-first7jobs-tweets-monkeylearn-r
Get started for Free. Get started for Free. Analyzing #first7jobs tweets with MonkeyLearn and R. Contributed by Maëlle Salmon. Creator and maintainer of MonkeyLearn R package. Have you tweeted about your #firstsevenjobs? My first seven jobs. Tweets initial goal was to provide a short description of the 7 first activities people were paid for. It was quite fun to read them in my timeline! However, I am confident quite a lot of. MonkeyLearn, starting from querying Twitter API with the. The unexpected joys ...
Data, Data Science and QA Learning's : Pig Overview Notes
http://sqlandsiva.blogspot.com/2014/10/pig-overview-notes.html
Data, Data Science and QA Learning's. Started Primarily for SQL Learning's later extended to accommodate Data Science, QA, Domain, Tech, Work, Life related learning’s. No one is harder on a talented person than the person themselves" - Linda Wilkinson. Trust your guts and don't follow the herd" ; "Validate direction not destination" ;. October 09, 2014. Primarily for semi structured data. So called 'Pig' as it processes all kinds of data. Pig is data flow language. Not a procedural language. Its my perso...
Data, Data Science and QA Learning's : QA Tools (Eliminate Repetitive Efforts)
http://sqlandsiva.blogspot.com/2015/01/qa-tools-eliminate-repetitive-efforts.html
Data, Data Science and QA Learning's. Started Primarily for SQL Learning's later extended to accommodate Data Science, QA, Domain, Tech, Work, Life related learning’s. No one is harder on a talented person than the person themselves" - Linda Wilkinson. Trust your guts and don't follow the herd" ; "Validate direction not destination" ;. January 07, 2015. QA Tools (Eliminate Repetitive Efforts). Very Interesting post Reusable Software? Just Don't Write Generic Code. Level / Depth of it depends on skillset,...
R Statistics for Digital Analytics: 8 Blogs you should Follow |analytics for fun
http://www.analyticsforfun.com/2015/03/r-stats-digital-analytics-8-blogs-you.html
Mar 29, 2015. R Statistics for Digital Analytics: 8 Blogs you should Follow. Are you interested in using R for your digital analytics projects? Do you need to perform prediction modelling and visualizations on your digital data and Excel can´t just do the job as you wanted? Or, you simply have no idea how R could help you in your digital analytics problems and you would like to see some real working examples first? Well, there are 2 good news for you. They are promoting R. This year for the "Most Influen...
Drawbacks of Using Time Metrics to Measure Blogs |analytics for fun
http://www.analyticsforfun.com/2014/11/drawbacks-of-using-time-metrics-to.html
Nov 23, 2014. Drawbacks of Using Time Metrics to Measure Blogs. When it comes to blogging, we all know that CONTENT is king. We also understand that social interactions and readers engagement play a primary role for making the blog successful. So far, so good. But then it's time to analyse data and make decisions. And that's where we often fail. This post will help you understand one of the most misused metrics to measure blogs performance. I am talking about time on page and time on site. After reading ...
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Variance Explained
Data Scientist at Stack Exchange, works in R and Python. This is the homepage and blog of David Robinson, a Data Scientist at Stack Exchange. For more about me, see here. Yes, There is Such a Thing as a Stupid Question. June 08, 2015. There are stupid questions, but they're not what you're thinking of. A Million Lines of Bad Code. April 17, 2015. A confession, and a plea, about 'code-shaming'. Slides from my talk on the broom package. April 13, 2015. March 19, 2015. March 06, 2015.
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