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centralplot
View on CRAN: Click
here
Download and install centralplot package within the R console
Install from CRAN:
install.packages("centralplot")
Install from Github:
library("remotes")
install_github("cran/centralplot")
Install by package version:
library("remotes")
install_version("centralplot", "0.1.0")
Attach the package and use:
library("centralplot")
Maintained by
Jian Sun
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-19
Latest Update: 2018-06-19
Description:
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.
How to cite:
Jian Sun (2018). centralplot: Show the Strength of Relationships Between Centre and Peripheral
Items. R package version 0.1.0, https://cran.r-project.org/web/packages/centralplot
Previous versions and publish date:
0.1.0 (2018-06-19 10:55)
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Functions, R codes and Examples using
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Some associated functions: centralplot .
Some associated R codes: centralplot.R . Full centralplot package functions and examples
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