Showing 6 of total 6 results (show query)
mangothecat
radarchart:Radar Chart from 'Chart.js'
Create interactive radar charts using the 'Chart.js' 'JavaScript' library and the 'htmlwidgets' package. 'Chart.js' <http://www.chartjs.org/> is a lightweight library that supports several types of simple chart using the 'HTML5' canvas element. This package provides an R interface specifically to the radar chart, sometimes called a spider chart, for visualising multivariate data.
Maintained by Doug Ashton. Last updated 6 years ago.
58.3 match 68 stars 8.34 score 268 scripts 1 dependents
ecologicaltools
IBRtools:Integrating Biomarker-Based Assessments and Radarchart Creation
Several functions to calculate two important indexes (IBR (Integrated Biomarker Response) and IBRv2 (Integrated Biological Response version 2)), it also calculates the standardized values for enzyme activity for each index, and it has a graphing function to perform radarplots that make great data visualization for this type of data. Beliaeff, B., & Burgeot, T. (2002). <https://pubmed.ncbi.nlm.nih.gov/12069320/>. Sanchez, W., Burgeot, T., & Porcher, J.-M. (2013).<doi:10.1007/s11356-012-1359-1>. Devin, S., Burgeot, T., Giambérini, L., Minguez, L., & Pain-Devin, S. (2014). <doi:10.1007/s11356-013-2169-9>. Minato N. (2022). <https://minato.sip21c.org/msb/>.
Maintained by Anna Carolina Resende. Last updated 2 years ago.
data-visualizationdevtoolsenzyme-activityibribrvindexes-ibrintegrated-biomarker-responseradarchartrstudio-cloudstarplot
20.1 match 3 stars 3.18 score 2 scripts
lgnbhl
xlcharts:Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.
Maintained by Felix Luginbuhl. Last updated 12 days ago.
6.6 match 12 stars 4.48 score 4 scripts
minatonakazawa
fmsb:Functions for Medical Statistics Book with some Demographic Data
Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Maintained by Minato Nakazawa. Last updated 1 years ago.
3.3 match 3 stars 7.74 score 1.9k scripts 23 dependents
bioc
oposSOM:Comprehensive analysis of transcriptome data
This package translates microarray expression data into metadata of reduced dimension. It provides various sample-centered and group-centered visualizations, sample similarity analyses and functional enrichment analyses. The underlying SOM algorithm combines feature clustering, multidimensional scaling and dimension reduction, along with strong visualization capabilities. It enables extraction and description of functional expression modules inherent in the data.
Maintained by Henry Loeffler-Wirth. Last updated 5 months ago.
geneexpressiondifferentialexpressiongenesetenrichmentdatarepresentationvisualizationcpp
3.3 match 4.48 score 7 scriptsbioc
InterCellar:InterCellar: an R-Shiny app for interactive analysis and exploration of cell-cell communication in single-cell transcriptomics
InterCellar is implemented as an R/Bioconductor Package containing a Shiny app that allows users to interactively analyze cell-cell communication from scRNA-seq data. Starting from precomputed ligand-receptor interactions, InterCellar provides filtering options, annotations and multiple visualizations to explore clusters, genes and functions. Finally, based on functional annotation from Gene Ontology and pathway databases, InterCellar implements data-driven analyses to investigate cell-cell communication in one or multiple conditions.
Maintained by Marta Interlandi. Last updated 5 months ago.
softwaresinglecellvisualizationgotranscriptomics
2.3 match 9 stars 4.95 score 7 scripts