Package: insane 1.0.3

insane: INsulin Secretion ANalysEr

A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) assays in pancreatic beta cells or islets. The package allows the user to import several sets of experiments from different spreadsheets and to perform subsequent steps: summarise in a tidy format, visualise data quality and compare experimental conditions without omitting to account for technical confounders such as the date of the experiment or the technician. Together, insane is a comprehensive method that optimises pre-processing and analyses of GSIS experiments in a friendly-user interface. The Shiny App was initially designed for EndoC-betaH1 cell line following method described in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).

Authors:Mickaël Canouil [aut, cre]

insane_1.0.3.tar.gz
insane_1.0.3.zip(r-4.7)insane_1.0.3.zip(r-4.6)insane_1.0.3.zip(r-4.5)
insane_1.0.3.tgz(r-4.6-any)insane_1.0.3.tgz(r-4.5-any)
insane_1.0.3.tar.gz(r-4.7-any)insane_1.0.3.tar.gz(r-4.6-any)
insane_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
insane/json (API)

# Install 'insane' in R:

install.packages('insane', repos = c('https://mcanouil.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mcanouil/insane/issues

Pkgdown/docs site:https://m.canouil.dev

On CRAN:

beta-cells endoc-betah1 insulin-secretion pancreas shiny statistics stats

5.48 score 3 stars 4 scripts 169 downloads 18 mentions 2 exports 118 dependencies

Last updated from:10c164f5c7. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	165
source / vignettes	OK	187
linux-release-x86_64	OK	173
macos-release-arm64	OK	129
macos-oldrel-arm64	OK	177
windows-devel	OK	105
windows-release	OK	102
windows-oldrel	OK	95
wasm-release	OK	154