Showing 14 of total 14 results (show query)
tomkellygenetics
vioplot:Violin Plot
A violin plot is a combination of a box plot and a kernel density plot. This package allows extensive customisation of violin plots.
Maintained by S. Thomas Kelly. Last updated 20 days ago.
boxplotcolourscustomisationdatavizformulaplottingviolin-plotviolinplotvioplot
11.0 match 26 stars 12.32 score 2.0k scripts 8 dependents
jverzani
UsingR:Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Maintained by John Verzani. Last updated 3 years ago.
9.3 match 1 stars 4.97 score 1.4k scripts
pievos101
TopKSignal:A Convex Optimization Tool for Signal Reconstruction from Multiple Ranked Lists
A mathematical optimization procedure in combination with statistical bootstrap for the estimation of the latent signals (sometimes called scores) informing the global consensus ranking (often named aggregation ranking). To solve mid/large-scale problems, users should install the 'gurobi' optimiser (available from <https://www.gurobi.com/>).
Maintained by Bastian Pfeifer Maintainer. Last updated 1 years ago.
convex-optimizationranking-datasignal-estimation
6.6 match 3 stars 4.18 score 1 scripts
dgerbing
lessR:Less Code, More Results
Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, time series with aggregation and forecasting, color themes, and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Maintained by David W. Gerbing. Last updated 1 months ago.
3.3 match 6 stars 7.47 score 394 scripts 3 dependents
uclahs-cds
BoutrosLab.plotting.general:Functions to Create Publication-Quality Plots
Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals. P'ng et al.; BPG: Seamless, automated and interactive visualization of scientific data; BMC Bioinformatics 2019 <doi:10.1186/s12859-019-2610-2>.
Maintained by Paul Boutros. Last updated 5 months ago.
2.3 match 12 stars 8.36 score 414 scripts 6 dependents
jeremygelb
geocmeans:Implementing Methods for Spatial Fuzzy Unsupervised Classification
Provides functions to apply spatial fuzzy unsupervised classification, visualize and interpret results. This method is well suited when the user wants to analyze data with a fuzzy clustering algorithm and to account for the spatial dimension of the dataset. In addition, indexes for estimating the spatial consistency and classification quality are proposed. The methods were originally proposed in the field of brain imagery (seed Cai and al. 2007 <doi:10.1016/j.patcog.2006.07.011> and Zaho and al. 2013 <doi:10.1016/j.dsp.2012.09.016>) and recently applied in geography (see Gelb and Apparicio <doi:10.4000/cybergeo.36414>).
Maintained by Jeremy Gelb. Last updated 4 months ago.
clusteringcmeansfuzzy-classification-algorithmsspatial-analysisspatial-fuzzy-cmeansunsupervised-learningcppopenmp
3.0 match 27 stars 6.08 score 90 scripts
pwwang
plotthis:High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Maintained by Panwen Wang. Last updated 19 days ago.
3.3 match 34 stars 5.46 score 2 scripts
bioc
omXplore:Vizualization tools for 'omics' datasets with R
This package contains a collection of functions (written as shiny modules) for the visualisation and the statistical analysis of omics data. These plots can be displayed individually or embedded in a global Shiny module. Additionaly, it is possible to integrate third party modules to the main interface of the package omXplore.
Maintained by Samuel Wieczorek. Last updated 12 days ago.
softwareshinyappsmassspectrometrydatarepresentationguiqualitycontrolprostar2
3.3 match 5.40 score 23 scriptsbioc
DAPAR:Tools for the Differential Analysis of Proteins Abundance with R
The package DAPAR is a Bioconductor distributed R package which provides all the necessary functions to analyze quantitative data from label-free proteomics experiments. Contrarily to most other similar R packages, it is endowed with rich and user-friendly graphical interfaces, so that no programming skill is required (see `Prostar` package).
Maintained by Samuel Wieczorek. Last updated 5 months ago.
proteomicsnormalizationpreprocessingmassspectrometryqualitycontrolgodataimportprostar1
2.0 match 2 stars 5.42 score 22 scripts 1 dependents
sergejruff
Virusparies:Visualize and Process Output from 'VirusHunterGatherer'
A collection of tools for downstream analysis of 'VirusHunterGatherer' output. Processing of hittables and plotting of results, enabling better interpretation, is made easier with the provided functions.
Maintained by Ruff Sergej. Last updated 3 months ago.
bioinformaticsdata-drivendiscoverdiscoveryggplot2graphical-tablehidden-markov-modelhmmlearnplotr-programmingsummary-statisticsvirusvirus-discoveryvirus-scanningvirusgatherervirushuntervirushuntergatherervisualization
1.7 match 1 stars 4.49 score 28 scriptsbioc
MIRit:Integrate microRNA and gene expression to decipher pathway complexity
MIRit is an R package that provides several methods for investigating the relationships between miRNAs and genes in different biological conditions. In particular, MIRit allows to explore the functions of dysregulated miRNAs, and makes it possible to identify miRNA-gene regulatory axes that control biological pathways, thus enabling the users to unveil the complexity of miRNA biology. MIRit is an all-in-one framework that aims to help researchers in all the central aspects of an integrative miRNA-mRNA analyses, from differential expression analysis to network characterization.
Maintained by Jacopo Ronchi. Last updated 2 days ago.
softwaregeneregulationnetworkenrichmentnetworkinferenceepigeneticsfunctionalgenomicssystemsbiologynetworkpathwaysgeneexpressiondifferentialexpressionmirnamirna-mrna-interactionmirna-seqmirnaseq-analysiscpp
1.7 match 4.00 score 2 scripts
erocoar
gghalves:Compose Half-Half Plots Using Your Favourite Geoms
A 'ggplot2' extension for easy plotting of half-half geom combinations. Think half boxplot and half jitterplot, or half violinplot and half dotplot.
Maintained by Frederik Tiedemann. Last updated 2 years ago.
datavizggplot-extensionggplot2visualization
0.5 match 243 stars 10.78 score 872 scripts 7 dependents
oteros
AeRobiology:A Computational Tool for Aerobiological Data
Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...
Maintained by "Jose Oteros". Last updated 6 years ago.
1.5 match 1 stars 2.46 score 29 scripts
ratkovic
sparsereg:Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data
Sparse modeling provides a mean selecting a small number of non-zero effects from a large possible number of candidate effects. This package includes a suite of methods for sparse modeling: estimation via EM or MCMC, approximate confidence intervals with nominal coverage, and diagnostic and summary plots. The method can implement sparse linear regression and sparse probit regression. Beyond regression analyses, applications include subgroup analysis, particularly for conjoint experiments, and panel data. Future versions will include extensions to models with truncated outcomes, propensity score, and instrumental variable analysis.
Maintained by Marc Ratkovic. Last updated 9 years ago.
3.3 match 1.00 score 6 scripts