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Geospatial data - data embedded in a spatial context - is used across disciplines, whether it be history, biology, business, tech, public health, etc. Along with community contributors, we're working on a suite of tools to make working with spatial data in R as easy as possible. If you're not ... [Read more...]

In the past couple of weeks I’ve noticed a flurry of visualizations of global sea ice extent on social media. If you’re like me, and curious to see what the data look like yourself, here’s a bit of R code to fetch and visualize the most recent ... [Read more...]

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Scientists spend a lot of time “munging” data. Finding, cleaning, and managing datasets can take up the majority of the time it takes to complete an analysis. Tools that make the munging process easier can save scientists a lot of time. We are tackling a small part of this problem ... [Read more...]

Scientists spend a lot of time “munging” data. Finding, cleaning, and managing datasets can take up the majority of the time it takes to complete an analysis. Tools that make the munging process easier can save scientists a lot of time. We are tackling a small part of this problem ... [Read more...]

I am very pleased to announce the first release of the ggforce package. ggforce is a general ggplot2 extension package in the same vein as ggalt with no overarching goal other than to provide additional functionality to the ggplot2 universe. The inc... [Read more...]

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Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”. In order to be able to solve this set of exercises you should have solved the part 0, part 1, part 2 ,and part 3 of this series but also you should run this script which ... [Read more...]

The often demand in the biostatistical research is to group patients depending on explanatory variables that are continuous. In some cases the requirement is to test overall survival of the subjects that suffer on a mutation in specific gene and have ... [Read more...]

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A decision tree for function minimization What R calls “optimization” is more generally known as function minimization. The tools in the stats package function optim() are all essentially function mimizers, as are those in the package optimrx found at https://r-forge.r-project.org/projects/optimizer/. optimrx tries to make it ... [Read more...]

Basis and principle of D3partitionR D3partitionR is to plot sequential and hierarchical data using treemap (and circle Tree Map), sunburst and partition chart, collapsible trees (indented or not). The package only has one all-in function called D3partitionR(…) to create a partition chart. Two others functions as renderD3... [Read more...]

Introduction There are many packages available in R like data.table, tables, psych etc. to provide descriptive statistics like mean, standard deviation etc.  group-wise(factor-wise) for number variables.  In this article, an attempt is made to generate similar type of tabulated results utilizing  the  functions available in the base package ... [Read more...]

In this set of exercises you will be presented with real-life problems in marketing. Your task will be to choose appropriate nonparametric statistical technique and solve the problem using appropriate R functions. Answers to the exercises are available here. Exercise 1 A company wants to learn if sales income is equaly ... [Read more...]

A while back I spent some time figuring out how to serve interactive shiny apps through my website, but I haven't had a chance to build anything until recently. I set out to create a few simple shiny apps in R that I could use as a sort of test ... [Read more...]