Showing 21 of total 21 results (show query)
haleyjeppson
ggmosaic:Mosaic Plots in the 'ggplot2' Framework
Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality is provided in a single 'ggplot2' layer by calling the geom 'mosaic'.
Maintained by Haley Jeppson. Last updated 6 months ago.
12.7 match 167 stars 11.63 score 1.8k scripts 4 dependents
hadley
productplots:Product Plots for R
Framework for visualising tables of counts, proportions and probabilities. The framework is called product plots, alluding to the computation of area as a product of height and width, and the statistical concept of generating a joint distribution from the product of conditional and marginal distributions. The framework, with extensions, is sufficient to encompass over 20 visualisations previously described in fields of statistical graphics and 'infovis', including bar charts, mosaic plots, 'treemaps', equal area plots and fluctuation diagrams.
Maintained by Hadley Wickham. Last updated 6 months ago.
14.4 match 29 stars 7.26 score 74 scripts 5 dependents
natverse
nat:NeuroAnatomy Toolbox for Analysis of 3D Image Data
NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D biological image data, especially traced neurons. Reads and writes 3D images in NRRD and 'Amira' AmiraMesh formats and reads surfaces in 'Amira' hxsurf format. Traced neurons can be imported from and written to SWC and 'Amira' LineSet and SkeletonGraph formats. These data can then be visualised in 3D via 'rgl', manipulated including applying calculated registrations, e.g. using the 'CMTK' registration suite, and analysed. There is also a simple representation for neurons that have been subjected to 3D skeletonisation but not formally traced; this allows morphological comparison between neurons including searches and clustering (via the 'nat.nblast' extension package).
Maintained by Gregory Jefferis. Last updated 5 months ago.
3dconnectomicsimage-analysisneuroanatomyneuroanatomy-toolboxneuronneuron-morphologyneurosciencevisualisation
7.2 match 67 stars 9.94 score 436 scripts 2 dependents
stefan-schroedl
plotluck:'ggplot2' Version of "I'm Feeling Lucky!"
Examines the characteristics of a data frame and a formula to automatically choose the most suitable type of plot out of the following supported options: scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map. The aim of the package is to let the user focus on what to plot, rather than on the "how" during exploratory data analysis. It also automates handling of observation weights, logarithmic axis scaling, reordering of factor levels, and overlaying smoothing curves and median lines. Plots are drawn using 'ggplot2'.
Maintained by Stefan Schroedl. Last updated 2 years ago.
automaticbox-plotboxplotclevelanddata-visualizationdensity-plotggplot2heatmaphexbinplotscatterscatter-plotspine-plotviolin-plotvisualization
8.0 match 52 stars 5.96 score 35 scripts
spatstat
spatstat.data:Datasets for 'spatstat' Family
Contains all the datasets for the 'spatstat' family of packages.
Maintained by Adrian Baddeley. Last updated 2 hours ago.
kernel-densitypoint-processspatial-analysisspatial-dataspatial-data-analysisspatstatstatistical-analysisstatistical-methodsstatistical-testsstatistics
4.0 match 6 stars 11.07 score 186 scripts 228 dependents
cran
vcd:Visualizing Categorical Data
Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Maintained by David Meyer. Last updated 6 months ago.
5.3 match 5 stars 8.19 score 87 dependents
ryninho
mekko:Variable Width Bar Charts: Bar Mekko
Create variable width bar charts i.e. "bar mekko" charts to include important quantitative context. Closely related to mosaic, spine (or spinogram), matrix, submarine, olympic, Mondrian or product plots and tree maps.
Maintained by Eric Rynerson. Last updated 7 years ago.
bar-chartbar-chartsbar-graphsggplot2graphgraphsmarimekkomatrix-chartmondrianmosaic-plotsolympicplotplotsplottingspinesubmarine
11.5 match 10 stars 3.74 score 11 scripts
eagerai
fastai:Interface to 'fastai'
The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Maintained by Turgut Abdullayev. Last updated 11 months ago.
audiocollaborative-filteringdarknetdarknet-image-classificationfastaimedicalobject-detectiontabulartextvision
4.5 match 118 stars 9.40 score 76 scripts
tidymodels
broom:Convert Statistical Objects into Tidy Tibbles
Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Maintained by Simon Couch. Last updated 4 months ago.
1.8 match 1.5k stars 21.56 score 37k scripts 1.4k dependents
loukiaspin
tracenma:Database for Developing Transitivity Methodology in Network Meta-Analysis
Functions to access the database of 217 data-frames with aggregate study-level characteristics (that may act as effect modifiers) extracted from published systematic reviews with network meta-analysis. The database shall only be used for developing and appraising the methodology to assess the transitivity assumption quantitatively.
Maintained by Loukia Spineli. Last updated 2 months ago.
9.4 match 1 stars 3.74 score 1 scripts
dankelley
oce:Analysis of Oceanographic Data
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Maintained by Dan Kelley. Last updated 2 days ago.
1.9 match 146 stars 15.42 score 4.2k scripts 18 dependents
zuoyi93
ProSGPV:Penalized Regression with Second-Generation P-Values
Implementation of penalized regression with second-generation p-values for variable selection. The algorithm can handle linear regression, GLM, and Cox regression. S3 methods print(), summary(), coef(), predict(), and plot() are available for the algorithm. Technical details can be found at Zuo et al. (2021) <doi:10.1080/00031305.2021.1946150>.
Maintained by Yi Zuo. Last updated 4 years ago.
4.5 match 5 stars 4.70 score 9 scripts
fishr-core-team
FSAdata:Data to Support Fish Stock Assessment ('FSA') Package
The datasets to support the Fish Stock Assessment ('FSA') package.
Maintained by Derek Ogle. Last updated 2 years ago.
fishfisheriesfisheries-stock-assessmentfishr-websitestock-assessment
3.5 match 13 stars 5.67 score 285 scriptscran
paleoTS:Analyze Paleontological Time-Series
Facilitates analysis of paleontological sequences of trait values. Functions are provided to fit, using maximum likelihood, simple evolutionary models (including unbiased random walks, directional evolution,stasis, Ornstein-Uhlenbeck, covariate-tracking) and complex models (punctuation, mode shifts).
Maintained by Gene Hunt. Last updated 6 months ago.
3.4 match 1 stars 4.48 score 2 dependents
blansche
fdm2id:Data Mining and R Programming for Beginners
Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Maintained by Alexandre Blansché. Last updated 2 years ago.
9.0 match 1 stars 1.62 score 42 scripts
friendly
vcdExtra:'vcd' Extensions and Additions
Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data and the 'gnm' package for Generalized Nonlinear Models. In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and adds a 3D version in 'mosaic3d'. Additionally, methods are provided for comparing and visualizing lists of 'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer.
Maintained by Michael Friendly. Last updated 5 months ago.
categorical-data-visualizationgeneralized-linear-modelsmosaic-plots
1.3 match 24 stars 10.34 score 472 scripts 3 dependents
bioc
HEM:Heterogeneous error model for identification of differentially expressed genes under multiple conditions
This package fits heterogeneous error models for analysis of microarray data
Maintained by HyungJun Cho. Last updated 5 months ago.
microarraydifferentialexpression
1.9 match 4.30 score 6 scripts
jessica-arbour
LOST:Missing Morphometric Data Simulation and Estimation
Functions for simulating missing morphometric data randomly, with taxonomic bias and with anatomical bias. LOST also includes functions for estimating linear and geometric morphometric data.
Maintained by J. Arbour. Last updated 2 months ago.
2.3 match 2.30 score 4 scripts
jmcurran
dafs:Data Analysis for Forensic Scientists
Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientists." This book was written by James Curran and published by CRC Press in 2010 (ISBN: 978-1-4200-8826-7).
Maintained by James Curran. Last updated 3 years ago.
4.0 match 1 stars 1.08 score 12 scripts
yikeshu0611
nomogramFormula:Calculate Total Points and Probabilities for Nomogram
A nomogram, which can be carried out in 'rms' package, provides a graphical explanation of a prediction process. However, it is not very easy to draw straight lines, read points and probabilities accurately. Even, it is hard for users to calculate total points and probabilities for all subjects. This package provides formula_rd() and formula_lp() functions to fit the formula of total points with raw data and linear predictors respectively by polynomial regression. Function points_cal() will help you calculate the total points. prob_cal() can be used to calculate the probabilities after lrm(), cph() or psm() regression. For more complexed condition, interaction or restricted cubic spine, TotalPoints.rms() can be used.
Maintained by Jing Zhang. Last updated 5 years ago.
0.5 match 3.13 score 15 scripts 1 dependents