C14 sampling is the most popular technique that archaeologists use to estimate absolute dates of sites. The method uses an organic sample to measure radiocarbon age that finally needs to be calibrated to calendar years (see the Wikipedia entry for details). I have always been puzzled that C14 samples are ... [Read more...]

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Chris Moffit has a nice blog on how to use the transform function in pandas. He provides some (fake) data on sales and asks the question of what fraction of each order is from each SKU. Being a R nut and a tidyverse fan, I thought to compare and contrast ... [Read more...]

By Gabriel Vasconcelos R functions The book Advanced R, by Hadley Wickham, shows a very interesting statement: “To understand R, two slogans are Helpful: Everything that exists in an object. Everything that happens is a function call.” – John Chambers … Continue reading → [Read more...]

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Today, we will continue getting familiar with data from Quandl, but will also devote more time to expanding our dygraphs toolkit. We will be building up a data visualization in discrete pieces, which isn’t very efficient, but will make things easier when we move this project into production as ... [Read more...]

Today, we will continue getting familiar with data from Quandl, but will also devote more time to expanding our dygraphs toolkit. We will be building up a data visualization in discrete pieces, which isn’t very efficient, but will make things easier when we move this project into production as ... [Read more...]

When you do simulations, for instance in R, e.g. drawing samples from a distribution, it’s best to set a random seed via the function set.seed in order to have reproducible results. The function has no default value. I think I mostly use set.seed(1).... [Read more...]

A number of map services are offered through The National Map (TNM). There are no use restrictions on these services. However, map content is limited to the United States and Territories. This post explains how to integrate TNM services within your own interactive web map using Leaflet for R. R ... [Read more...]

As anyone who's tried to analyze real-world data knows, there are any number of problems that may be lurking in the data that can prevent you from being able to fit a useful predictive model: Categorical variables can include infrequently-used levels, which will cause problems if sampling leaves them unrepresented ... [Read more...]

Introduction High throughput sequencing data can contain hundreds of millions of sequences (also known as reads). The raw sequencing reads may contain PCR primers, adaptors, low quality bases, duplicates and other contaminants coming from the experimental protocols. As these may affect the results of downstream analysis, it’s essential to ... [Read more...]

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SHINY DASHBOARD STRUCTURE & APPEARANCE Finally we reached in the final part of our series. At this part we will see how to improve the structure and the appearance of our dashboard even more, according to our preferences and of course make it more attractive to the user. Last but not ... [Read more...]

11.04.2017 A new release of Bio7  for MaxOSX (64-bit) is available. This release comes with a plethora of new functions for MacOSX and R. (Screenshot with Bio7 Dark theme enabled and custom font colors of the R editor) Bio7 2.5 Release Notes Installation: Download and extract the installation file from http://bio7.... [Read more...]

Recently we were building a Shiny App in which we had to load data from a very large dataframe. It was directly impacting the app initialization time, so we had to look into different ways of reading data from files to R (in our case customer provided ... [Read more...]

Recently we were building a Shiny App in which we had to load data from a very large dataframe. It was directly impacting the app initialization time, so we had to look into different ways of reading data from files to R (in our case customer provided ... [Read more...]

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This is cross-posted from Tony's blog onthelambda.com Version 2.0 of my data set validation package assertr hit CRAN just this weekend. It has some pretty great improvements over version 1. For those new to the package, what follows is a short and new introduction. For those who are already using assertr, ... [Read more...]

Springtime and cherry blossoms It is spring, and the flowers bloom. One tree in particular symbolises this: the Japanese cherry (sakura) tree. Every year, millions of Japanese enjoy hanami, jointly watching the cherry blossoms, philosophising abo... [Read more...]

One of my favorite packages is Rmisc. The package includes the summarySE function which I use on a daily basis. The function provides a concise way to get a data frame with mean and standard errors of the mean. It is a great way in conjunction with ggp... [Read more...]