Blog Archives

p-values and null hypotheses

May 10, 2017
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p-values and null hypotheses

Almost all statistical tests that archaeologists and historians use are based on the concept of Null Hypothesis Significance Testing or NHST. If someone told you that you should be using some stats in this paper this is probably what they mean for it. The comment is usually accompanied by a reference to a thick statistics

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Identifying gaps in your data

April 21, 2017
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Identifying gaps in your data

One of the first things you want to do when you explore a new dataset is to identify possible gaps. Sample size and the number of variables are relevant but…how many observations do you have for each variable? This distinction is even more relevant for archaeologists because (if we are being honest…) most of our

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Loading and visualizing Shapefiles in R

April 19, 2017
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Loading and visualizing Shapefiles in R

Geographical Information Systems such as QGIS are common in the typical archaeologist’s toolbox. However, the complexities of our datasets mean that we need additional tools to identify patterns in time and space. Imagine that you are working with a set of points in a vector format such as a Shapefile. It can be a set

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Calibrating C14 dates

April 12, 2017
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Calibrating C14 dates

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 typically calibrated using specialized proprietary

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Most popular R packages and R package dependency visualization.

August 26, 2015
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Most popular R packages and R package dependency visualization.

Author and Project: – Author: XAVIER CAPDEPON – Xavier was a student of the Data Science Bootcamp#2 (B002) – Data Science, Data Mining and Machine Learning –

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