wrGraph
Graphics in the Context of Analyzing High-Throughput Data
Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automati c checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot doi:10.1080/00031305.1998.10480559 function for a wide variety of input-formats, principal components analysis (PCA) doi:10.1080/14786440109462720 with bag-plots doi:10.1080/00031305.1999.10474494 to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) doi:10.1093/nar/30.4.e15, staggered count plots and generation of mouse-over interactive html pages.
- Version1.3.8
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/21/2024
Documentation
Team
Wolfgang Raffelsberger
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- Imports3 packages
- Suggests7 packages
- Reverse Suggests3 packages