Package: flowCyBar 1.49.0
Joachim Schumann
flowCyBar: Analyze flow cytometric data using gate information
A package to analyze flow cytometric data using gate information to follow population/community dynamics
Authors:
flowCyBar_1.49.0.tar.gz
flowCyBar_1.49.0.zip(r-4.7)flowCyBar_1.49.0.zip(r-4.6)flowCyBar_1.49.0.zip(r-4.5)
flowCyBar_1.49.0.tgz(r-4.6-any)flowCyBar_1.49.0.tgz(r-4.5-any)
flowCyBar_1.49.0.tar.gz(r-4.7-any)flowCyBar_1.49.0.tar.gz(r-4.6-any)
flowCyBar_1.49.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flowCyBar/json (API)
| # Install 'flowCyBar' in R: |
| install.packages('flowCyBar', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- Abiotic_data_sample - Dataset with abiotic data and sample names
- Cell_number_sample - Dataset with relative measured cell numbers and sample names
- Corr_data_sample - Dataset with correlation data and sample names
On BioConductor:flowCyBar-1.49.0(bioc 3.24)flowCyBar-1.48.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologycellbasedassaysclusteringflowcytometrysoftwarevisualization
Last updated from:b73e2d412f. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 174 | ||
| linux-devel-x86_64 | NOTE | 147 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | NOTE | 173 | ||
| macos-release-arm64 | NOTE | 98 | ||
| macos-oldrel-arm64 | NOTE | 130 | ||
| windows-devel | NOTE | 78 | ||
| windows-release | NOTE | 92 | ||
| windows-oldrel | NOTE | 71 | ||
| wasm-release | OK | 101 |
Exports:correlationcybar_plotnmdsnormalize
Dependencies:bitopscaToolsclustergplotsgtoolsKernSmoothlatticeMASSMatrixmgcvnlmepermutevegan
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Analyze flow cytometric data | flowCyBar |
| Dataset with abiotic data and sample names | Abiotic_data_sample |
| Dataset with relative measured cell numbers and sample names | Cell_number_sample |
| Dataset with correlation data and sample names | Corr_data_sample |
| Visualize the correlation | correlation correlation,data.frame-method correlation,matrix-method |
| Barcode of the normalized cell numbers and boxplot of relative or percental cell numbers | cybar_plot cybar_plot,data.frame,data.frame-method cybar_plot,data.frame,matrix-method cybar_plot,data.frame,missing-method cybar_plot,matrix,data.frame-method cybar_plot,matrix,matrix-method cybar_plot,matrix,missing-method cybar_plot,missing,data.frame-method cybar_plot,missing,matrix-method |
| NMDS plot of cell numbers | nmds nmds,data.frame-method nmds,matrix-method |
| Normalize cell numbers | normalize normalize,data.frame-method normalize,matrix-method |
