Showing 35 of total 35 results (show query)

tidyverse

hms:Pretty Time of Day

Implements an S3 class for storing and formatting time-of-day values, based on the 'difftime' class.

Maintained by Kirill Müller. Last updated 12 hours ago.

hmstime

85.7 match 141 stars 16.59 score 1.3k scripts 3.2k dependents

r-lib

scales:Scale Functions for Visualization

Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.

Maintained by Thomas Lin Pedersen. Last updated 5 months ago.

ggplot2

1.9 match 418 stars 19.90 score 88k scripts 8.0k dependents

janmarvin

openxlsx2:Read, Write and Edit 'xlsx' Files

Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.

Maintained by Jan Marvin Garbuszus. Last updated 1 days ago.

xlsxcpp

1.7 match 139 stars 13.62 score 194 scripts 11 dependents

oscarperpinan

solaR:Radiation and Photovoltaic Systems

Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.

Maintained by Oscar Perpiñán Lamigueiro. Last updated 3 years ago.

3.3 match 1 stars 2.74 score 55 scripts

lcbc-uio

questionnaires:Package with functions to calculate components and sums for LCBC questionnaires

Creates summaries and factorials of answers to questionnaires.

Maintained by Athanasia Mo Mowinckel. Last updated 2 years ago.

1.8 match 3 stars 4.63 score 13 scripts

thomaschln

kgraph:Knowledge Graphs Constructions and Visualizations

Knowledge graphs enable to efficiently visualize and gain insights into large-scale data analysis results, as p-values from multiple studies or embedding data matrices. The usual workflow is a user providing a data frame of association studies results and specifying target nodes, e.g. phenotypes, to visualize. The knowledge graph then shows all the features which are significantly associated with the phenotype, with the edges being proportional to the association scores. As the user adds several target nodes and grouping information about the nodes such as biological pathways, the construction of such graphs soon becomes complex. The 'kgraph' package aims to enable users to easily build such knowledge graphs, and provides two main features: first, to enable building a knowledge graph based on a data frame of concepts relationships, be it p-values or cosine similarities; second, to enable determining an appropriate cut-off on cosine similarities from a complete embedding matrix, to enable the building of a knowledge graph directly from an embedding matrix. The 'kgraph' package provides several display, layout and cut-off options, and has already proven useful to researchers to enable them to visualize large sets of p-value associations with various phenotypes, and to quickly be able to visualize embedding results. Two example datasets are provided to demonstrate these behaviors, and several live 'shiny' applications are hosted by the CELEHS laboratory and Parse Health, as the KESER Mental Health application <https://keser-mental-health.parse-health.org/> based on Hong C. (2021) <doi:10.1038/s41746-021-00519-z>.

Maintained by Thomas Charlon. Last updated 6 days ago.

1.5 match 4.90 score

jemus42

poddr:Collect Metadata for Selected Podcasts

Collecting all the data, but just for The Incomparable, Relay.fm and ATP.

Maintained by Lukas Burk. Last updated 30 days ago.

1.7 match 1 stars 2.48 score 6 scripts