CEDHAR’s ‘howto’ docs

Contents:

• Digital Humanities
  • Data for humanities
  • Data formats
• User Acceptance Testing
  • User Acceptance Test for R package release
• The SDAM project
  • Objectives
• R package sdam
  • Description
  • Installation
  • Assembly
  • Making Documentation
  • Datasets
  • Vignettes in website
  • News from sdam package
• DEiC’s sciencedata.dk
  • Accessing DEiC’s sciencedata.dk using R
  • Authentification
  • Responses
  • Examples
• Epigraphic Database Heidelberg
  • Open Data Repository
  • Response
  • Accessing the EDH database using R
  • Examples
  • Accessing Epigraphic Database Heidelberg: Inscriptions
• Extracting EDH Variables
  • EDH variables
  • Attributes in EDH dataset
  • Relative dating in EDH
• Time and dating
  • Chronological periods of the Mediterranean Sea
  • Relative dating of Roman inscriptions
  • Plotting time intervals
• Temporal Uncertainty
  • Probability and uncertainty
  • Probability distributions
  • Notation
  • Aoristic analysis
  • Probability of existence \(t_i\)
  • Probabilities of existence for time blocks
  • Computing the probability of existence
• Markov chain Monte Carlo
  • Monte Carlo
  • Markov chain
  • Metropolis-Hastings
  • Diagnostics
  • Summed probability distribution
  • Bayesian statistics
• Epigraphic Networks using R
  • Measuring similarity of artefact assemblages and geographic proximity
  • Similarity measures
  • Structures of similarity in the EDH dataset
  • Example: Similarity among Egyptian epigraphs
• Multiple imputation for missing dating data
  • Network imputation for missing dating data in EDH
  • Imputation and Missing data
  • Missing dating data
  • Temporal uncertainty and relative dating
  • Roman inscriptions in EDH database
  • Restricted imputation on dates
• Modules
  • Digital Humanities
  • User Acceptance Testing
  • The SDAM project
  • R package sdam
  • DEiC’s sciencedata.dk
  • Epigraphic Database Heidelberg
  • Extracting EDH Variables
  • Time and dating
  • Temporal Uncertainty
  • Markov chain Monte Carlo
  • Epigraphic Networks using R
  • Multiple imputation for missing dating data

Indices and tables

• Index

• Search Page

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