- Research interests
- Publications
- Books
- Data Management in R: A Guide for Social Scientists
- Introduction
- Building Blocks of Data
- Data Frames and their Management
- The Structure of Data Frames
- Accessing and Changing Variables in Data Frames
- Manipulating Data Frames
- Creating subsets of data frames
- Merging data frames: An example with data from the British Election Study
- Merging data frames: An example with artificial data
- Appending data frames
- Reshaping data frames: An example with artificial data
- Reshaping data frames: An example with data from the British Election Study
- Sorting data frames
- Aggregating Data Frames
- Groupwise computations within Data Frames
- Importing Data into Data Frames
- Data Tables and the “Tidyverse”
- Social Science Surveys
- Data from Complex Samples
- Dates, Times, and Time Series
- Spatial and Geographical data
- Text as Data
- Data Management in R: A Guide for Social Scientists
- Articles in peer reviewed journals
- Multilevel Analysis with Few Clusters: Improving Likelihood-based Methods
- Method Factors in Democracy Indicators
- Social Cleavages and Electoral Behaviour in Long-Term Perspective
- A Dynamic State-Space Model of Coded Political Texts
- Bounded Volatility in the Dutch Electoral Battlefield
- Stability or Decline? Class, Religion and the Vote in Germany
- Social Divisions, Party Positions, and Electoral Behaviour
- Ignoramus, Ignorabimus? On Uncertainty in Ecological Inference
- The Decline of Social Cleavages in Western Europe Revisited
- Politicisation, Economic Development, and Political Interest in Europe
- Book contributions
- All Gone? Change and Persistence in the Impact of Social Cleavages on Voting Behavior in Germany since 1949
- Der Einfluss des politischen Kontextes auf die Ausformung einer Parteiidentifikation
- Replicationsmaterial
- Research Reports
- Books
- Working papers
- Transformation of Religious Cleavages in Western Europe
- On Models for Categorical Dependent Variables
- The RiLe Index of Party Ideology - A Reductio
- Education and Voting in Germany in Long-Term Perspective
- Valence or Position? Unified Conception of Party Competition
- Political Context and the Formation of Party Identification in the United States
- A New Approach to the Analysis of Tactical Voting
- Strategic Voting and Ticket-Splitting in Germany
- Party Families and Conceptions of Party Ideology
- The Political Demobilisation of the Working Class in Germany
- Campaign Dynamics and Strategic Voting in UK Parliamentary Elections
- On the Distinctiveness of Party Families
- Measuring Politcal Knowledge: The Problem of Cross-National Equivalence
- Data
- Teaching
- Software
- memisc: Management of Survey Data and Presentation of Analysis Results
- "memisc" on CRAN
- "memisc" on GitHub
- Documentation
- User guides
- Handling Questionnaire Items
- Importing Data from SPSS and Stata
- Creating tables of model estimates
- Generating Tables of Descriptive Statistics
- Combining Tables
- Example: The American Election Study 1948
- Manual pages
- Introduction to the ‘memisc’ Package
- Conditional Evaluation of an Expression
- Vectors of Univariate Sample Statistics
- Loop over Variables in a Data Frame or Environment
- Operate on grouped data in data frames and data sets
- Convert Annotations, and Value Labels between Encodings
- Create a list and conveniently supply names to its elements
- Reshape data frames or data sets
- A Dimension Preserving Variant of “sapply” and “lapply”
- Substitutions in Language Objects
- One-Dimensional Table of Frequences and/or Percentages
- Write Codebooks and Variable Descriptions into a Text File
- Adding Annotations to Objects
- Apply a Formatting Template to a Numeric or Character Vector
- Converting Data Frames into Arrays
- Construction of Lists of Symbols
- Distinguish between Cases Specified by Logical Conditions
- Generate a Codebook of a Data Set
- Describe structure of Data Sets and Importers
- Collect Objects
- Convenience Methods for Setting Contrasts
- Data Set Objects
- Manipulation of Data Sets
- Handle duplicated labels
- Change dimnames, rownames, or colnames
- Check for and report duplicated labels
- Format Objects in HTML, show the HTML Format or Write it to a File
- Format Codebooks as HTML
- Format “Flattened Tables” as HTML
- Combining flattened tables.
- Generic Tables and Data Frames of Descriptive Statistics
- Get Model Summaries for Use with “mtable”
- Building Blocks for HTML Code
- Object Oriented Interface to Foreign Files
- Survey Items
- How Survey Items Are Converted into “Ordinary” Data Vectors
- Value Labels
- Levels of Measurement of Survey Items
- Deprecated Functions in Package memisc
- Comparative Table of Model Estimates
- Format for ‘mtable’ Objects for Writing into File
- HTML Formatting for ‘mtable’ Results
- Format ‘mtable’ Results for LaTeX
- Print Format for ‘mtable’ Objects
- Negative Match
- Table of Percentages with Percentage Base
- Easy Creation of Tables of Percentages
- Query an Object for Information
- Recode Items, Factors and Numeric Vectors
- Change labels of factors or labelled objects
- Change Names of a Named Object
- Reorder an Array or Matrix
- Retain Objects in an Environment
- Take a Sample from a Data Frame-like Object
- Convenience Methods to Sort Data Frames and Data Sets
- Convenience wrappers for common statistical functions
- Formatting Styles for Coefficients, Factor Contrasts, and Summary Statistics
- Syntactic Sugar for Setting Annotations and Attributes
- Interface to Packages ‘tibble’ and ‘haven’
- Convert an Array into a Data Frame
- Additional Methods for LaTeX Representations for R objects
- Named Lists, Lists of Items, and Atomic Vectors
- Value Filters
- A Generic Viewing Function
- HTML Output for ‘view.
- Table of frequencies for unlabelled codes
- Add Alternative Variance Estimates to Models Estimates
- Index
- User guides
- Recent news
- Examples
- mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion
- mclogit on CRAN
- Baseline-category logit models
- Conditional logit models
- Random effects in baseline logit models and conditional logit models
- Documentation of the Package
- Manual pages
- Choice of Means of Transport
- Overdispersion in Multinomial Logit Models
- Class, Party Position, and Electoral Choice
- getSummary Methods
- Baseline-Category Logit Models for Categorical and Multinomial Responses
- Conditional Logit Models and Mixed Conditional Logit Models
- Internal functions used for model fit.
- Control Parameters for the Fitting Process
- Predicting responses or linear parts of the baseline-category and conditional logit models
- Simulating responses from baseline-category and conditional logit models
- Index
- Technical documentation
- Manual pages
- References
- munfold: Metric Multidimensional Unfolding in R
- mpred: Generic Predictive Margins
- manifestos: Spatial Modelling of Party Manifestos (and other political texts)
- iimm: Improved Inference for Multilevel Models with Few Clusters
- EMfit: An Infrastructure for Latent Variable Model Fitting using EM Algorithms
- memisc: Management of Survey Data and Presentation of Analysis Results
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