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  • Raster parallel process in R

    May 10, 2021 · 5 min read · raster parallel snow foreach  ·
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    Raster parallel process in R

    By Fidel Maureira Sotomayor Install libraries if there are no already in your computer. 1packages = c('raster','terra', 'snow', 'parallel', 'foreach','doParallel','rasterVis', 'mapview','ggplot2', 'lubridate','pryr') 2out = …

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  • Feature Engineering with Sliding Windows and Lagged Inputs

    Feb 18, 2021 · 1 min read · time series  ·
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    This week Bryan Shalloway presented a talk about feature engineering with sliding windows and lagged inputs. You can find a post on his personal blog about the topic here, and the link to the corresponding GitHub repository here.

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  • Non-metric Multidimensional Scaling (NMDS) in R

    Dec 11, 2019 · 9 min read · NMDS  ·
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    Non-metric Multidimensional Scaling (NMDS) in R

    By Michael Meyer Summary This document details the general workflow for performing Non-metric Multidimensional Scaling (NMDS), using macroinvertebrate composition data from the National Ecological Observatory Network (NEON). NMDS is a tool to assess similarity between samples when considering multiple variables of …

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  • Nonlinear regression tutorial

    Oct 23, 2019 · 7 min read · nonlinear regression regression  ·
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    By Abby Hudak When relationships between variables is not linear you can try: transforming data to linearize the relationship fit non-linear functions to data (use nls example) fit polynomial or spline models to data (use growthrates package example) linear regression: dependent variable = constant + parameter x …

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  • Clustering in R

    Oct 2, 2019 · 5 min read · clustering  ·
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    By Enrique Jimenez 1library(ggplot2) 2 3## Warning: package 'ggplot2' was built under R version 3.5.3 4 5library(ggpubr) 6 7## Warning: package 'ggpubr' was built under R version 3.5.3 8 9library(cluster) 10 11## Warning: package 'cluster' was built under R version 3.5.3 12 13library(factoextra) …

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  • Raster analyses in R

    Jan 30, 2019 · 9 min read · gis mapping ncdf raster  ·
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    By Alli Cramer Spatial analysis in R For one of my primary experiences of spatial analysis in R, we used a number of existing data bases to determine the average yearly temperature and precipitation for over 1.3 million lakes. One of my duties in this project was to combine multiple raster layers from a reanalysis of …

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  • Text Analysis in R

    Oct 16, 2018 · 12 min read · text analysis  ·
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    By Michael F. Meyer For the reader: This document is to serve as a tutorial for the R Working Group at Washington State University. For more information, please contact Michael F. Meyer For BeginneRs There are three main takeaways from this tutorial. You will have learned: How to read in a text file and convert a …

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  • Research Profile: Downloading, Rolling Joins, and MRT

    Apr 30, 2018 · 8 min read · date/time downloader MRT multivariate species vegan  ·
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    1library(tidyverse) 2library(dplyr) 3library(data.table) 4library(mvpart) 5library(vegan) 6 7#setwd("C:/Users/Stefanie/Documents/WSU/rGroup") #set working directory Author: Stefanie Watson Getting Data You can download the species subset for this research profile here. Other data is downloaded from Canada using …

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  • Webscraping for Research

    Apr 30, 2018 · 2 min read · html rvest webscraping  ·
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    Author: Brad Luff What is Web Scraping? Web scraping is the process of automatically collecting data from web pages without visiting them using a browser. This can be useful for collecting information from a multitude of sites very quickly. Also, because the scraper searches for the location of the information within …

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  • Research Profile: Predicting antibacterial efficacy using snake venom data

    Feb 14, 2018 · 13 min read · discriminant analysis glmulti model selection proc venom  ·
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    Author: Michael Meyer You can download a subset of the data used in this document here, and an .Rmd version of this analysis here. To watch our guest speaker Michael talk about this analysis, check out the recording of his research profile talk on YouTube! For the Reader This is a tutorial of model selection techniques …

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Featured Posts

  • Raster parallel process in R
  • Using Python in R Studio with Reticulate
  • Non-metric Multidimensional Scaling (NMDS) in R

Recent Posts

  • Raster parallel process in R
  • Using Python in R Studio with Reticulate
  • Feature Engineering with Sliding Windows and Lagged Inputs
  • Introduction to mapping in R
  • Research profiles with Shiny Dashboard: A case study in a community survey for antimicrobial resistance in Guatemala

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