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wrGraph  

Graphics in the Context of Analyzing High-Throughput Data
View on CRAN: Click here


Download and install wrGraph package within the R console
Install from CRAN:
install.packages("wrGraph")

Install from Github:
library("remotes")
install_github("cran/wrGraph")

Install by package version:
library("remotes")
install_version("wrGraph", "1.3.7")



Attach the package and use:
library("wrGraph")
Maintained by
Wolfgang Raffelsberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-02
Latest Update: 2024-01-22
Description:
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, automatic 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.
How to cite:
Wolfgang Raffelsberger (2020). wrGraph: Graphics in the Context of Analyzing High-Throughput Data. R package version 1.3.7, https://cran.r-project.org/web/packages/wrGraph. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2020-06-02 17:20), 1.0.2 (2020-07-09 11:30), 1.0.4 (2020-09-08 10:30), 1.0.5 (2020-10-09 14:00), 1.1.0 (2020-11-21 17:50), 1.1.1 (2020-12-03 18:50), 1.2.0 (2021-01-25 22:40), 1.2.1 (2021-02-19 16:00), 1.2.2 (2021-03-04 02:00), 1.2.3 (2021-04-11 23:20), 1.2.4 (2021-06-09 15:00), 1.2.5 (2021-07-08 12:10), 1.3.0 (2021-09-02 18:00), 1.3.1 (2022-03-31 17:10), 1.3.2 (2023-01-25 12:40), 1.3.3 (2023-04-14 11:50), 1.3.4 (2023-08-11 10:50), 1.3.5 (2023-09-29 13:50), 1.3.6 (2023-10-20 11:30)
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