Produce more. Conserve more. Improve lives. That’s Monsanto’s vision for a better world. Our seeds, biotechnology traits, herbicides and services help farmers improve productivity, reduce the costs of farming, and grow better foods for consumers and better feed for animals. To increase crop yields globally, data and analytics are being leveraged at every stage of the process from discovery through optimization of product performance in farmer’s ...
dplyr is "A fast, consistent tool for working with data frame like objects, both in memory and out of memory." This tutorial will feature an overview of dplyr including the basics of dplyr verbs, using dplyr programmatically, and incorporation of custom functions into dplyr workflows. You can learn more about dplyr here: http://cran.r-project.org/web/packages/dplyr/index.html Be sure to check out the vignettes! Dr. Dmitry Grapov from Monsanto ...
This is a combined meetup with the Machine Learning & Data Science group. This talk will cover my favorite machine learning packages in R. I will discuss the caret package which makes implementing 192 predictive models a breeze. It provides simple and consistent syntax for data-splitting, pre-processing, feature selection, model-tuning, and variable importance for this huge list of models. This packages cuts out the drudgery of data munging and ...
Join us on March 17 at 6pm as we explore how to build interactive reports using RMarkdown and Shiny. We will walk through an example of an interactive bioinformatic report that allows users to investigate how parameter changes affect results.
RMarkdown and Shiny can be combined to generate interactive documents and analysis reports. For this meetup, I will demonstrate the use of R to analyze gene expression (RNA-seq) via the edgeR package from Bioconductor. By combining RMarkdown/Shiny with the edgeR package, we will create an interactive report that will allow the user to explore how changing parameters will affect analysis results and possibly the biological conclusions. We will me...
Programmer/analyst for algorithmic market maker. R package author, ice hockey player, lover of awesome coffee.
I'm interested in computational finance, algorithmic trading, position sizing, and risk management. I like building/fixing all sorts of things, and enjoy working on difficult problems that do not have an obvious solution.
Greater than average number of arms, legs, ears, and eyes.
University of Missouri–St. Louis
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