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Google Updates Cloud Database, Developer Tools

Google unleashed a batch of updated tools this week aimed at cloud-based big data and storage options along with the beta release of a developer tool designed to ease use of Apache Spark with the R programming language. Google (NASDAQ: GOOGL) said Wednesday (Dec. 19) its …

Do you use the dplyr/magrittr/tidyr pipeline? How dominant

The dplyr syntax is easier to read and to share with others who are less fluent in R, but the data.table structure with indexes are like night and day for speed. I have no idea how prevalent dplyr use actually is with others, but it made me invest time learning other bits of R (like data.table) that I probably wouldn''t have bothered with otherwise.

Measuring the Shape and Size of Activated Sludge Particles

The purpose of this method is to provide a well-defined, repeatable, and partially-automated method for determining size and shape distributions of particles in bioreactors, particularly those containing activated sludge flocs and aerobic granules 1, 2.

A step-by-step workflow for low-level analysis of

Read the original article in full on F1000Research: A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor

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Queries were written to extract data tables from the PostgreSQL database containing the ICU data. Data merging, cleaning, reshaping and date-time handling were carried out in R v.3.4.3 12, dplyr v.0.7.5 13 and lubridate v.1.6.0 14 libraries.

A step-by-step workflow for low-level analysis of

Read the original article in full on F1000Research: A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor

The Olympics, for $10.00 or less… | Copy Paste Programmers

The Olympics, for $10.00 or less:Unlocking The Secret that NBC Doesn''t Want You to KnowIf you''re ready to watch the Olympics in a new and better way, read on. Photo credit: Pixabay.It''s that time again: the Winter Olympics have arrived and, with it, all of the pageantry, spectacle and heartbreak that comes along with performing on a global stage.

A new data processing workflow for R: dplyr, magrittr

Over the last year I have changed my data processing and manipulation workflow in R dramatically. Thanks to some great new packages like dplyr, tidyr and magrittr (as well as the less-new ggplot2) I''ve been able to streamline code and speed up processing.Up until 2014, I had used essentially the same R workflow (aggregate, merge, apply/tapply, reshape etc) for more than 10 years.

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View Stas Sajin’s profile on LinkedIn, the world''s largest professional community. Stas has 7 jobs listed on their profile. See the complete profile on LinkedIn and …

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Stas Sajin - Senior Data Scientist - Earnest Inc. | LinkedIn

View Stas Sajin’s profile on LinkedIn, the world''s largest professional community. Stas has 7 jobs listed on their profile. See the complete profile on LinkedIn and …

Data Preparation Pipelines: Strategy, Options and Tools

Stirman discussed a variety of open source and commercial tools for use by different types of users like business users, data scientists and software developers, and the pros and cons of each tool. Open source tools like Apache Spark, Pandas (Python) and dplyr (R) help data scientists and developers in the preparation of data.

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Expatica is the international community’s online home away from home. A must-read for English-speaking expatriates and internationals across Europe, Expatica provides a tailored local news service and essential information on living, working, and moving to your country of choice.

Expat Dating in Germany - chatting and dating - Front page DE

Expatica is the international community’s online home away from home. A must-read for English-speaking expatriates and internationals across Europe, Expatica provides a tailored local news service and essential information on living, working, and moving to your country of choice.

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GitHub is where people build software. More than 40 million people use GitHub to discover, fork, and contribute to over 100 million projects.

RhierBAPS: An R implementation of the | Wellcome Open

Identifying structure in collections of sequence data sets remains a common problem in genomics. hierBAPS, a popular algorithm for identifying population structure in haploid genomes, has previously only been available as a MATLAB binary. We provide an R implementation which is both easier to install and use, automating the entire pipeline.

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(This article was first published on Enhance Data Science, and kindly contributed to R-bloggers) This is this second post of the “Create your Machine Learning library from scratch with R !” series.

Assertive R programming in dplyr/magrittr pipelines | R

Jan 23, 2015· In an effort to help solve this common problem–and inspired by the elegance of dplyr/magrittr pipelines–I created a R package called assertr. assertr works by adding two new verbs to the pipeline, verify and assert, and a couple of predie functions. Early on in the pipeline, you make certain assertions about how the data should look.

dplyr - R Conditional evaluation when using the pipe

R Conditional evaluation when using the pipe operator %>% Ask Question Asked 4 years, 4 months ago. Active 4 months ago. One important thing within the conditional block between {} is that you must reference the preceding argument of the dplyr pipe (also called LHS) with the dot (.)

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Bioconductor Workflow for Microbiome Data Analysis

In version 2 of the manuscript: We have updated the procedure for storing the filtered and trimmed files during the call to dada2, this avoids overwriting the files if the workflow is run several times.

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