R

I gave an invited talk at the National Cancer Institute Division of Cancer Prevention Multi-Cancer Detection Working Group entitled “Accessible geospatial socio-economic metrics.”

My fourth R package is published in the Comprehensive R Archive Network named ndi. It computes various geospatial neighborhood deprivation indices (NDI) and other metrics of social vulnerability in the United States.

Here is an example of plotting a neighborhoods network with ggplot2 using the sf and sfdep packages for counties in a U.S. state.

My third R package is published in the Comprehensive R Archive Network named envi. It estimates the ecological niche using presence/absence data and the spatial relative risk function via the sparr package. See the public Github repository for more details.

My second R package is published in the Comprehensive R Archive Network named gateR. It estimates clustering of cytometry cells using markers and the spatial relative risk function via the sparr package. See the public Github repository for more details.

I present code to create the hexsticker for the sparrpowR package using the hexSticker and spatstat packages. The sparrpowR calculated the statistical power for a spatial relative risk function from the sparr package.

My first R package is in the Comprehensive R Archive Network named sparrpowR. It provides a statistical power calculation for the spatial relative risk function via the sparr package. See the public Github repository for more details. The featured image comes from the package vignette.

I present an update to my previous posts #1 and #2. This update can also be found on a public GitHub repository.

I received an Informatics Tool Challenge Award from the NCI Division of Cancer Epidemiology and Genetics for a project entitled “sparrpowR: A flexible R package and webtool to estimate statistical power of a spatial cluster detection technique.”

I present code to identify relative spatial clustering in multidimensional scaling / principal coordinate analysis (MDS/PCoA) space. I use a spatial relative risk function risk from the sparr package. I use a spatial segregation model relrisk from the spatstat package.