<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.0">Jekyll</generator><link href="http://vitutr.archaeological.science/feed.xml" rel="self" type="application/atom+xml" /><link href="http://vitutr.archaeological.science/" rel="alternate" type="text/html" /><updated>2021-07-13T07:22:11+00:00</updated><id>http://vitutr.archaeological.science/feed.xml</id><title type="html">vitutr</title><subtitle>A site for video tutorials for R, specifically for archaeologists.</subtitle><author><name>Martin Hinz</name></author><entry><title type="html">t-Test</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/10/t-test.html" rel="alternate" type="text/html" title="t-Test" /><published>2019-07-10T00:00:00+00:00</published><updated>2019-07-10T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/10/t-test</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/10/t-test.html">&lt;p&gt;This video covers the t-test, the “workhorse” of parametric data analysis. As a parametric test, the t-test has some data requirements that need to be verified beforehand. To this end, the Kolmogorow-Smirnow-Test or the Shapiro-Test are used to ensure normal distribution and the F-Test for variance homogeneity. These are also presented.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/59fee43c&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="hypothese_testing" /><category term="parametric_test" /><category term="intermediate" /><category term="english" /><category term="bivariate" /><summary type="html">This video covers the t-test, the “workhorse” of parametric data analysis. As a parametric test, the t-test has some data requirements that need to be verified beforehand. To this end, the Kolmogorow-Smirnow-Test or the Shapiro-Test are used to ensure normal distribution and the F-Test for variance homogeneity. These are also presented.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/59fee43c.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/59fee43c.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Measurement of Association</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/09/associations.html" rel="alternate" type="text/html" title="Measurement of Association" /><published>2019-07-09T00:00:00+00:00</published><updated>2019-07-09T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/09/associations</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/09/associations.html">&lt;p&gt;This episode deals with determining the strength of associations at nominal data level: Yules Q, phi and Cramers V.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/8bacf194&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="descriptive_statistics" /><category term="intermediate" /><category term="english" /><category term="bivariate" /><summary type="html">This episode deals with determining the strength of associations at nominal data level: Yules Q, phi and Cramers V.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/8bacf194.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/8bacf194.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Fishers Exact Test</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/09/fisher_test.html" rel="alternate" type="text/html" title="Fishers Exact Test" /><published>2019-07-09T00:00:00+00:00</published><updated>2019-07-09T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/09/fisher_test</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/07/09/fisher_test.html">&lt;p&gt;This episode is about an alternative to the Chi2 test if the record does not meet its requirements: Fisher’s exact test.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/8751f1ee&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="hypothese_testing" /><category term="nonparametric_test" /><category term="intermediate" /><category term="english" /><category term="bivariate" /><summary type="html">This episode is about an alternative to the Chi2 test if the record does not meet its requirements: Fisher’s exact test.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/8751f1ee.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/8751f1ee.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Chi-square test and inverse tabulation</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/24/chi_square_test.html" rel="alternate" type="text/html" title="Chi-square test and inverse tabulation" /><published>2019-05-24T00:00:00+00:00</published><updated>2019-05-24T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/24/chi_square_test</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/24/chi_square_test.html">&lt;p&gt;This episode deals primarily with the chi-square test, as the test for the relationship of categorical, nominal data. In this context, the transformation of data from the tabular form to the individual case form is described.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/fea2001e&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="hypothese_testing" /><category term="nonparametric_test" /><category term="intermediate" /><category term="english" /><category term="bivariate" /><summary type="html">This episode deals primarily with the chi-square test, as the test for the relationship of categorical, nominal data. In this context, the transformation of data from the tabular form to the individual case form is described.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/fea2001e.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/fea2001e.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Mann-Whitney-U-Test</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/24/mann_whitney_U_test.html" rel="alternate" type="text/html" title="Mann-Whitney-U-Test" /><published>2019-05-24T00:00:00+00:00</published><updated>2019-05-24T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/24/mann_whitney_U_test</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/24/mann_whitney_U_test.html">&lt;p&gt;This episode is about another nonparametric test, the Mann-Whitney-U- or Wilcoxon rank sum test, which offers a more powerful alternative to the Kolmogorow-Smirnow test under certain parameters.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/eb6ec1c1&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="hypothese_testing" /><category term="nonparametric_test" /><category term="intermediate" /><category term="english" /><category term="bivariate" /><summary type="html">This episode is about another nonparametric test, the Mann-Whitney-U- or Wilcoxon rank sum test, which offers a more powerful alternative to the Kolmogorow-Smirnow test under certain parameters.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/eb6ec1c1.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/eb6ec1c1.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Kolmogorov-Smirnov-Test</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/23/ks_test.html" rel="alternate" type="text/html" title="Kolmogorov-Smirnov-Test" /><published>2019-05-23T00:00:00+00:00</published><updated>2019-05-23T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/23/ks_test</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/23/ks_test.html">&lt;p&gt;The first in a series of nonparametric tests, one of the most undemanding is the Kolmogorov-Smirnov test, which is capable of comparing two ordinally scaled distributions.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/6aadf40f&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="hypothese_testing" /><category term="nonparametric_test" /><category term="intermediate" /><category term="bivariate" /><category term="english" /><summary type="html">The first in a series of nonparametric tests, one of the most undemanding is the Kolmogorov-Smirnov test, which is capable of comparing two ordinally scaled distributions.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/6aadf40f.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/6aadf40f.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Skewness and Kurtosis</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/23/skewness_and_kurtosis.html" rel="alternate" type="text/html" title="Skewness and Kurtosis" /><published>2019-05-23T00:00:00+00:00</published><updated>2019-05-23T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/23/skewness_and_kurtosis</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/23/skewness_and_kurtosis.html">&lt;p&gt;To round off the descriptive statistics two more measures for the shape of distributions: skewness and kurtosis of distributions.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/0725bd8c&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="descriptive_statistics" /><category term="basic" /><category term="english" /><summary type="html">To round off the descriptive statistics two more measures for the shape of distributions: skewness and kurtosis of distributions.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/0725bd8c.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/0725bd8c.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Measurement of dispersion</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/18/measurement_of_dispersion.html" rel="alternate" type="text/html" title="Measurement of dispersion" /><published>2019-05-18T00:00:00+00:00</published><updated>2019-05-18T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/18/measurement_of_dispersion</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/18/measurement_of_dispersion.html">&lt;p&gt;Range, interquartile range, variance, standard deviation and coefficient of variation: measures of variability within a data set.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/8d3fe769&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="descriptive_statistics" /><category term="basic" /><category term="english" /><summary type="html">Range, interquartile range, variance, standard deviation and coefficient of variation: measures of variability within a data set.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/8d3fe769.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/8d3fe769.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Central Tendency</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/17/central_tendency.html" rel="alternate" type="text/html" title="Central Tendency" /><published>2019-05-17T00:00:00+00:00</published><updated>2019-05-17T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/17/central_tendency</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/17/central_tendency.html">&lt;p&gt;Arithmetic mean, median and quantiles as a measure of the location of a data set on a variable, the central tendency. Also shortly mentioned is the mode.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/881ab6bf&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="descriptive_statistics" /><category term="basic" /><category term="english" /><summary type="html">Arithmetic mean, median and quantiles as a measure of the location of a data set on a variable, the central tendency. Also shortly mentioned is the mode.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/881ab6bf.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/881ab6bf.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">High level Plots from Scratch and Triplots</title><link href="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/10/cumsum_and_triplots.html" rel="alternate" type="text/html" title="High level Plots from Scratch and Triplots" /><published>2019-05-10T00:00:00+00:00</published><updated>2019-05-10T00:00:00+00:00</updated><id>http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/10/cumsum_and_triplots</id><content type="html" xml:base="http://vitutr.archaeological.science/statistical%20methods%20for%20archaeological%20data%20analysis%20i%202019/2019/05/10/cumsum_and_triplots.html">&lt;p&gt;This episode rounds off the series on descriptive statistics with high level plots, from scratch or ready made with the example of the triplot.
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&lt;iframe width=&quot;640&quot; height=&quot;360&quot; src=&quot;https://tube.switch.ch/embed/b23d4066&quot; frameborder=&quot;0&quot; webkitallowfullscreen=&quot;&quot; mozallowfullscreen=&quot;&quot; allowfullscreen=&quot;&quot;&gt;&lt;/iframe&gt;</content><author><name>Martin Hinz</name></author><category term="Statistical methods for archaeological data analysis I 2019" /><category term="descriptive_statistics" /><category term="plotting" /><category term="basic" /><category term="english" /><summary type="html">This episode rounds off the series on descriptive statistics with high level plots, from scratch or ready made with the example of the triplot.</summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/b23d4066.png%22%7D" /><media:content medium="image" url="http://vitutr.archaeological.science/%7B%22thumb%22=%3E%22/assets/images/b23d4066.png%22%7D" xmlns:media="http://search.yahoo.com/mrss/" /></entry></feed>