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URL: https://cran.r-project.org/web/packages/sjPlot/index.html
Proper Citation: sjplot (RRID:SCR_024307)
Description: Software R package as collection of plotting and table output functions for data visualization. Results of various statistical analyses that are commonly used in social sciences can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, generalized linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models including interaction terms. This package supports labelled data.
Resource Type: software resource, software toolkit
Keywords: data visualization, simple and cross tabulated frequencies, histograms, box plots, generalized linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models including interaction terms,
Availability: Free, Available for download, Freely available,
Resource Name: sjplot
Resource ID: SCR_024307
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
