Metabolomics Data Analysis Functions

A collection of functions for processing and analyzing metabolite data. The namesake function mrbin() converts 1D or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, can be replaced by positive values (). All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time. The function fia() ranks features according to their impact on classifier models, especially artificial neural network models.

DicePlot Visualization for 'ggplot2'

Provides 'ggplot2' extensions for creating dice-based visualizations where each dot position represents a specific categorical variable. The package includes 'geom_dice()' for displaying presence/absence of categorical variables using traditional dice patterns. Each dice position (1-6) represents a different category, with dots shown only when that category is present. This allows intuitive visualization of up to 6 categorical variables simultaneously.

Extrapolate Gender, Age and Nationality of a Name

Connects to the < https://genderize.io/>, < https://agify.io/> and < https://nationalize.io/> APIs to estimate gender, age and nationality of a first name.

JIRA REST API Wrapper for R

Allows to interact with the 'JIRA SERVER REST API' to analyze the retrieved data in R. For further information about the API visit < https://docs.atlassian.com/software/jira/docs/api/REST/8.9.1/>.

Run the 'Open-WBO' MaxSAT Solver

Provides a wrapper for running the bundled 'Open-WBO' Maximum Satisfiability (MaxSAT) solver (< https://github.com/sat-group/open-wbo>). Users can pass command-line arguments to the solver and capture its output as a character string or file.

PARAFAC Analysis of EEMs from DOM

'This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) . The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.'

Trajectory Miner: a Sequence Analysis Toolkit

Set of sequence analysis tools for manipulating, describing and rendering categorical sequences, and more generally mining sequence data in the field of social sciences. Although this sequence analysis package is primarily intended for state or event sequences that describe time use or life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and functions for extracting the most frequent event subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.

Estimators of Prediction Accuracy for Time-to-Event Data

Provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.

Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'

Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in R markdown documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI'-'Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.

Accessing 'SimFin' Data

Through simfinapi, you can intuitively access the 'SimFin' Web-API (< https://www.simfin.com/>) to make 'SimFin' data easily available in R. To obtain an 'SimFin' API key (and thus to use this package), you need to register at < https://app.simfin.com/login>.