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rspatial

geosphere:Spherical Trigonometry

Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations.

Maintained by Robert J. Hijmans. Last updated 6 months ago.

cpp

36 stars 13.79 score 5.7k scripts 116 dependents

ropensci

geojsonio:Convert Data from and to 'GeoJSON' or 'TopoJSON'

Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.

Maintained by Michael Mahoney. Last updated 1 years ago.

geojsontopojsongeospatialconversiondatainput-outputio

151 stars 10.83 score 2.9k scripts 13 dependents

jmsigner

amt:Animal Movement Tools

Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate home ranges, track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses, and simulation of space-use from fitted step-selection functions.

Maintained by Johannes Signer. Last updated 5 months ago.

41 stars 10.54 score 418 scripts

cpanse

protViz:Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics

Helps with quality checks, visualizations and analysis of mass spectrometry data, coming from proteomics experiments. The package is developed, tested and used at the Functional Genomics Center Zurich <https://fgcz.ch>. We use this package mainly for prototyping, teaching, and having fun with proteomics data. But it can also be used to do data analysis for small scale data sets.

Maintained by Christian Panse. Last updated 1 years ago.

funmass-spectrometrypeptide-identificationproteomicsquantificationvisualizationcpp

11 stars 7.88 score 72 scripts 2 dependents

mikeblazanin

gcplyr:Wrangle and Analyze Growth Curve Data

Easy wrangling and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.

Maintained by Mike Blazanin. Last updated 2 months ago.

dplyrggplot2tidyverse

30 stars 7.53 score 75 scripts

ludvigolsen

rearrr:Rearranging Data

Arrange data by a set of methods. Use rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, 'rearrr' enables creativity when plotting and experimenting with data.

Maintained by Ludvig Renbo Olsen. Last updated 24 days ago.

arrangeclusterexpandforminggenerateggplot2orderplotting-in-rrollrotateshapingswirltransformations

24 stars 7.26 score 128 scripts 8 dependents

jmadinlab

habtools:Tools and Metrics for 3D Surfaces and Objects

A collection of functions for sampling and simulating 3D surfaces and objects and estimating metrics like rugosity, fractal dimension, convexity, sphericity, circularity, second moments of area and volume, and more.

Maintained by Nina Schiettekatte. Last updated 24 days ago.

12 stars 6.10 score 9 scripts

aiorazabala

qmethod:Analysis of Subjective Perspectives Using Q Methodology

Analysis of Q methodology, used to identify distinct perspectives existing within a group. This methodology is used across social, health and environmental sciences to understand diversity of attitudes, discourses, or decision-making styles (for more information, see <https://qmethod.org/>). A single function runs the full analysis. Each step can be run separately using the corresponding functions: for automatic flagging of Q-sorts (manual flagging is optional), for statement scores, for distinguishing and consensus statements, and for general characteristics of the factors. The package allows to choose either principal components or centroid factor extraction, manual or automatic flagging, a number of mathematical methods for rotation (or none), and a number of correlation coefficients for the initial correlation matrix, among many other options. Additional functions are available to import and export data (from raw *.CSV, 'HTMLQ' and 'FlashQ' *.CSV, 'PQMethod' *.DAT and 'easy-htmlq' *.JSON files), to print and plot, to import raw data from individual *.CSV files, and to make printable cards. The package also offers functions to print Q cards and to generate Q distributions for study administration. See further details in the package documentation, and in the web pages below, which include a cookbook, guidelines for more advanced analysis (how to perform manual flagging or change the sign of factors), data management, and a graphical user interface (GUI) for online and offline use.

Maintained by Aiora Zabala. Last updated 1 years ago.

38 stars 6.03 score 47 scripts

swarm-lab

swaRm:Processing Collective Movement Data

Function library for processing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.

Maintained by Simon Garnier. Last updated 1 years ago.

animal-behavioranimal-behaviourcollective-behaviorcollective-behaviour

21 stars 5.50 score 8 scripts 1 dependents

josiahparry

sdf:What the Package Does (One Line, Title Case)

What the package does (one paragraph).

Maintained by Josiah Parry. Last updated 2 years ago.

27 stars 3.13 score 6 scripts

maxar

IncDTW:Incremental Calculation of Dynamic Time Warping

The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) <doi:10.18637/jss.v099.i09>.

Maintained by Maximilian Leodolter. Last updated 3 years ago.

cpp

2.18 score 15 scripts

cran

centiserve:Find Graph Centrality Indices

Calculates centrality indices additional to the 'igraph' package centrality functions.

Maintained by Mahdi Jalili. Last updated 8 years ago.

1 stars 2.08 score 1 dependents

amessbee

rsdepth:Ray Shooting Depth (i.e. RS Depth) Functions for Bivariate Analysis

Ray Shooting Depth functions are provided for bivariate analysis. This mainly includes functions for computing the bivariate depth as well as RS median. Drawing functions for depth bags are also provided.

Maintained by Mudassir Shabbir. Last updated 3 years ago.

cpp

1.04 score 11 scripts

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