Programming

Web Mapping with Free Software Tools

Introduction GIS in a nutshell Desirable features of a web mapping platform Set up your data for mapping Google Maps QGIS and the qgis2web plugin RStudio and the R Leaflet Package In conclusion Reading time: 36 minute(s) @ 200 WPM. Introduction Web mapping is an application of geographic information systems (GIS) that involves the creation of interactive digital maps displayed and manipulated through a web browser.

Multivariate Analysis with R

Preliminaries Multivariate data A map Distance matrices Cluster analysis Mantel test Multidimensional scaling Principal components analysis Discriminant function analysis Epilogue Reading time: 32 minute(s) @ 200 WPM. Preliminaries At some time or another, most users of statistics find themselves sitting in front of a large pile of computer output with the realization that it tells them nothing that they really want to know.

An Introduction to R

Prologue Getting a feel for R The console Function calls and arguments HINT: Getting help Some graphics HINT: Command history and workspace Getting data into R Data frames Creating data frames HINT: Data management in R and RStudio. Exploratory data analysis Scatterplot matrix HINT: R packages Summary statistics and data screening Box plots Stem-and-leaf display Categorical variables: factors Some confirmatory analysis More graphics R scripts (command files) An R menu system: R-commander Epilogue Reading time: 22 minute(s) @ 200 WPM.

An R script for calculating the reading time of an R Markdown file

Reading time: 2 minute(s) @ 200 WPM. To see how we just did that, read on. Because psychological research tells us that including estimated reading times can increase reader engagement with digital content, I decided to include reading times for my riveting posts. So I wrote a simple R script. Here it is, as an R code chunk: ```{r echo=FALSE} bytes The script is very simple, such that even I could program it.