Package: flowCyBar 1.43.0
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_1.43.0.tar.gz
flowCyBar_1.43.0.zip(r-4.5)flowCyBar_1.43.0.zip(r-4.4)flowCyBar_1.43.0.zip(r-4.3)
flowCyBar_1.43.0.tgz(r-4.4-any)flowCyBar_1.43.0.tgz(r-4.3-any)
flowCyBar_1.43.0.tar.gz(r-4.5-noble)flowCyBar_1.43.0.tar.gz(r-4.4-noble)
flowCyBar_1.43.0.tgz(r-4.4-emscripten)flowCyBar_1.43.0.tgz(r-4.3-emscripten)
flowCyBar.pdf |flowCyBar.html✨
flowCyBar/json (API)
| # Install 'flowCyBar' in R: |
| install.packages('flowCyBar', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- 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-1.43.0(bioc 3.21)flowCyBar-1.42.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologycellbasedassaysclusteringflowcytometrysoftwarevisualization
Last updated 2 months agofrom:2c9345f2b2. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-win | NOTE | Nov 29 2024 |
| R-4.5-linux | NOTE | Nov 29 2024 |
| R-4.4-win | NOTE | Nov 29 2024 |
| R-4.4-mac | NOTE | Nov 29 2024 |
| R-4.3-win | NOTE | Nov 29 2024 |
| R-4.3-mac | NOTE | Nov 29 2024 |
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 |
