The degree of correlation between centre and peripheral items are shown by the length of the line between them. You can self-define the length by inputing the "distance" parameter. For example, you can input (1 - Pearson's correlation coefficient) as "distance" so that the stronger the correlation between centre and peripheral item, the nearer they will be in this plot. Also, If you do a hypothesis test and the null hypothesis is centre and peripheral items are the same, you can input -log(P) as distance. To sum up, the stronger the correlation between centre and peripheral is, the smaller the "distance" parameter should be. Due to its high degree of freedom, it can be applied to many different circumstance.
| Version: | 0.1.0 |
| Depends: | ggplot2 |
| Published: | 2018-06-19 |
| Author: | Jian Sun |
| Maintainer: | Jian Sun <sunjiansysu at foxmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | centralplot results |
| Reference manual: | centralplot.pdf |
| Package source: | centralplot_0.1.0.tar.gz |
| Windows binaries: | r-devel: centralplot_0.1.0.zip, r-release: centralplot_0.1.0.zip, r-oldrel: centralplot_0.1.0.zip |
| macOS binaries: | r-release: centralplot_0.1.0.tgz, r-oldrel: centralplot_0.1.0.tgz |
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