|
r-vrmlgen
|
public |
vrmlgen creates 3D scatter and bar plots, visualizations of 3D meshes, parametric functions and height maps in web-formats like the Virtual Reality Markup Language (VRML, filetype .wrl) and the LiveGraphics3D format.
|
2025-04-22 |
|
r-voxr
|
public |
Tools for tree crown structure description based on T-LiDAR data voxelisation
|
2025-04-22 |
|
r-vowels
|
public |
Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data. vowels is the backend for the NORM website.
|
2025-04-22 |
|
r-vottrans
|
public |
Calculates voter transitions comparing two elections, using the function solve.QP() in package 'quadprog'.
|
2025-04-22 |
|
r-votesys
|
public |
Various methods to count ballots in voting systems are provided. Functions to check validity of ballots are also provided to ensure flexibility.
|
2025-04-22 |
|
r-vote
|
public |
Counting election votes and determining election results by different methods, including the single transferable vote, approval, score and plurality methods.
|
2025-04-22 |
|
r-vortexrdata
|
public |
Contains selected data from two publications, Campbell 'et' 'al'. (2016) <DOI:10.1080/14486563.2015.1028486> and 'Pacioni' 'et' 'al'. (2017) <DOI:10.1071/PC17002>. The data is provided both as raw outputs from the population viability analysis software 'Vortex' and packaged as R objects. The R package 'vortexR' uses the raw data provided here to illustrate its functionality of parsing raw 'Vortex' output into R objects.
|
2025-04-22 |
|
r-volleystat
|
public |
Volleyball match statistics of the German volleyball first division league (seasons 2013/2014 to 2018/2019). The data has been collected from the official volleyball first division homepage (<www.volleyball-bundesliga.de>) and contains information on teams, staff, sets, matches, and player-in-match statistics (extracted automatically from the official match reports).
|
2025-04-22 |
|
r-vocaldia
|
public |
Create adjacency matrices of vocalisation graphs from dataframes containing sequences of speech and silence intervals, transforming these matrices into Markov diagrams, and generating datasets for classification of these diagrams by 'flattening' them and adding global properties (functionals) etc. Vocalisation diagrams date back to early work in psychiatry (Jaffe and Feldstein, 1970) and social psychology (Dabbs and Ruback, 1987) but have only recently been employed as a data representation method for machine learning tasks including meeting segmentation (Luz, 2012) <doi:10.1145/2328967.2328970> and classification (Luz, 2013) <doi:10.1145/2522848.2533788>.
|
2025-04-22 |
|
r-vmask
|
public |
The cumulative sum (CUSUM) control chart is considered to be an alternative or complementary to Shewhart control charts in statistical process control (SPC) applications, owing to its higher sensitivity to small shifts in the process mean. It utilizes all the available data rather than the last few ones used in Shewhart control charts for quick decision making. V-mask is a traditional technique for separating meaningful data from unusual circumstances in a Cumulative Sum (CUSUM) control chart; for see details about v-mask see Montgomery (1985, ISBN:978-0471656319). The mask is a V-shaped overlay placed on the CUSUM chart so that one arm of the V lines up with the slope of data points, making it easy to see data points that lie outside the slope and to determine whether these points should be discarded as random events, or treated as a performance trend that should be addressed. But, complex computations is one disadvantage V-mask method for detect small changes in mean using CUSUM control chart. Package 'vMask' can help to the applied users to overcome this challenge by considering six different methods which each of them are based on different information.
|
2025-04-22 |
|
r-vlf
|
public |
Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences. The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs. The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another. Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures.
|
2025-04-22 |
|
r-vkr
|
public |
Provides an interface to the VK API <https://vk.com/dev/methods>. VK <https://vk.com/> is the largest European online social networking service, based in Russia.
|
2025-04-22 |
|
r-vitality
|
public |
Provides fitting routines for four versions of the Vitality family of mortality models.
|
2025-04-22 |
|
r-visualize
|
public |
Graphs the pdf or pmf and highlights what area or probability is present in user defined locations. Visualize is able to provide lower tail, bounded, upper tail, and two tail calculations. Supports strict and equal to inequalities. Also provided on the graph is the mean and variance of the distribution.
|
2025-04-22 |
|
r-visreg
|
public |
Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)
|
2025-04-22 |
|
r-visielse
|
public |
A graphical tool designed to visualize and to give an overview of behavioral observations realized on individuals or groups. Visualization of raw data during experimental observations of the realization of a procedure. It graphically presents an overview of individuals and group actions usually acquired from timestamps during video recorded sessions. Options of the package allow adding graphical information as statistical indicators (mean, standard deviation, quantile or statistical test) but also for each action green or black zones providing visual information about the accuracy of the realized actions.
|
2025-04-22 |
|
r-virustotal
|
public |
Use VirusTotal, a Google service that analyzes files and URLs for viruses, worms, trojans etc., provides category of the content hosted by a domain from a variety of prominent services, provides passive DNS information, among other things. See <http://www.virustotal.com> for more information.
|
2025-04-22 |
|
r-vipor
|
public |
Generate a violin point plot, a combination of a violin/histogram plot and a scatter plot by offsetting points within a category based on their density using quasirandom noise.
|
2025-04-22 |
|
r-viopoints
|
public |
viopoints draws one dimensional scatter plots with jitter using kernel density estimates in a similar way to violin plots.
|
2025-04-22 |
|
r-violinmplot
|
public |
A lattice violin-plot is overlayed with the arithmetic mean and standard deviation.
|
2025-04-22 |
|
r-vif
|
public |
This package implements a fast regression algorithm for building linear model for large data as defined in the paper "VIF-Regression: A Fast Regression Algorithm for Large Data (2011), Journal of the American Statistical Association, Vol. 106, No. 493: 232-247" by Dongyu Lin, Dean P. Foster, and Lyle H. Ungar.
|
2025-04-22 |
|
r-vietnamcode
|
public |
Converts Vietnam's provinces' names and ID across different formats. Handles diacritics and different spellings.
|
2025-04-22 |
|
r-vhica
|
public |
The "Vertical and Horizontal Inheritance Consistence Analysis" method is described in the following publication: "VHICA: a new method to discriminate between vertical and horizontal transposon transfer: application to the mariner family within Drosophila" by G. Wallau. et al. (2016) <DOI:10.1093/molbev/msv341>. The purpose of the method is to detect horizontal transfers of transposable elements, by contrasting the divergence of transposable element sequences with that of regular genes.
|
2025-04-22 |
|
r-vhdclassification
|
public |
This package provides an implementation of Linear discriminant analysis and quadratic discriminant analysis that works fine in very high dimension (when there are many more variables than observations).
|
2025-04-22 |
|
r-vgamdata
|
public |
Data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology).
|
2025-04-22 |
