getCommunityCentrality: Calculate Community Centrality Measures for Nodes
In linkcomm: Tools for Generating, Visualizing, and Analysing Link Communities in Networks
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
View source: R/linkcomm_misc.R
Description
This function returns community-based node centrality measures.
Usage
1
2
getCommunityCentrality(x, nodes = names(x$numclusters), type = "commweight",
normalise = TRUE)
Arguments
x
An object of class linkcomm.
nodes
A character vector giving the names of nodes for calculating community centrality scores. Defaults to all nodes.
type
A character string naming the community centrality measure. Can be one of "commweight" or "commconn" (see Details below). Defaults to "commweight".
normalise
Logical, whether to normalise community connectedness for "commconn". Defaults to TRUE. Will be ignored for "commweight".
Details
Community-based measures of node centrality provide an alternative to classic measures of node centrality. "commweight" weights each community that a node belongs to by how similar that community is to each of the other communities to which the node also belongs. For node i the community centrality is
Cc(i) = sum_{i in j}^{N}(1 - (1/m)*sum_{i in j&k}^{m}(S(j,k)))
where the main sum is over the N communities to which node i belongs, and S(j,k) refers to the similarity between community j and k, calculated as the Jaccard coefficient for the number of shared nodes between each community pair, and this is averaged over the m communities paired with community j and in which node i jointly belongs.
"commconn" weights each community that a node belongs to by how many connections the community forms outside of itself relative to how many connections the community has within itself (the inverse of modularity), so that nodes that belong to more highly connecting communitites will receive a higher community centrality score. For node i the community centrality is
Cc(i) = sum_{i in j}^{N}e_{ij}.(\check{e}_{B(j)}/\check{e}_{W(j)})
where e_{ij} is the number of edges node i has in community j, \check{e}_{B(j)}=\frac{e_{B(j)}}{n_{j}\bar{d}} is the number of edges community j makes outside of itself normalised by the number of nodes in community j multiplied by the average degree in the network, and \check{e}_{W(j)}=\frac{e_{W(j)}}{n(n-1)/2} is the number of edges within community j normalised by the total number possible.
Value
A named numerical vector where the names are node names and the numbers are community centrality measures.
Author(s)
Alex T. Kalinka alex.t.kalinka@gmail.com
References
Kalinka, A.T. and Tomancak, P. (2011). linkcomm: an R package for the generation, visualization, and analysis of link communities in networks of arbitrary size and type. Bioinformatics 27, 2011-2012.
See Also
Examples
1
2
3
4
5
6
## Generate graph and extract link communities.
g <- swiss[,3:4]
lc <- getLinkCommunities(g)
## Calculate community centrality.
cc <- getCommunityCentrality(lc)
Example output
Loading required package: igraph
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
Loading required package: RColorBrewer
Welcome to linkcomm version 1.0-11
For a step-by-step guide to using linkcomm functions:
> vignette(topic = "linkcomm", package = "linkcomm")
To run an interactive demo:
> demo(topic = "linkcomm", package = "linkcomm")
To cite, see:
> citation("linkcomm")
NOTE: To use linkcomm, you require read and write permissions in the current directory (see: help("getwd"), help("setwd"))
Checking for loops and duplicate edges... 0.000%
Checking for loops and duplicate edges... 2.174%
Checking for loops and duplicate edges... 4.348%
Checking for loops and duplicate edges... 6.522%
Checking for loops and duplicate edges... 8.696%
Checking for loops and duplicate edges... 10.870%
Checking for loops and duplicate edges... 13.043%
Checking for loops and duplicate edges... 15.217%
Checking for loops and duplicate edges... 17.391%
Checking for loops and duplicate edges... 19.565%
Checking for loops and duplicate edges... 21.739%
Checking for loops and duplicate edges... 23.913%
Checking for loops and duplicate edges... 26.087%
Checking for loops and duplicate edges... 28.261%
Checking for loops and duplicate edges... 30.435%
Checking for loops and duplicate edges... 32.609%
Checking for loops and duplicate edges... 34.783%
Checking for loops and duplicate edges... 36.957%
Checking for loops and duplicate edges... 39.130%
Checking for loops and duplicate edges... 41.304%
Checking for loops and duplicate edges... 43.478%
Checking for loops and duplicate edges... 45.652%
Checking for loops and duplicate edges... 47.826%
Checking for loops and duplicate edges... 50.000%
Checking for loops and duplicate edges... 52.174%
Checking for loops and duplicate edges... 54.348%
Checking for loops and duplicate edges... 56.522%
Checking for loops and duplicate edges... 58.696%
Checking for loops and duplicate edges... 60.870%
Checking for loops and duplicate edges... 63.043%
Checking for loops and duplicate edges... 65.217%
Checking for loops and duplicate edges... 67.391%
Checking for loops and duplicate edges... 69.565%
Checking for loops and duplicate edges... 71.739%
Checking for loops and duplicate edges... 73.913%
Checking for loops and duplicate edges... 76.087%
Checking for loops and duplicate edges... 78.261%
Checking for loops and duplicate edges... 80.435%
Checking for loops and duplicate edges... 82.609%
Checking for loops and duplicate edges... 84.783%
Checking for loops and duplicate edges... 86.957%
Checking for loops and duplicate edges... 89.130%
Checking for loops and duplicate edges... 91.304%
Checking for loops and duplicate edges... 93.478%
Checking for loops and duplicate edges... 95.652%
Checking for loops and duplicate edges... 97.826%
Checking for loops and duplicate edges... 100.000%
Found and removed 4 loop(s)
Found and removed 2 duplicate edge(s)
Calculating edge similarities for 41 edges... 0.00%
Calculating edge similarities for 41 edges... 2.56%
Calculating edge similarities for 41 edges... 5.13%
Calculating edge similarities for 41 edges... 7.69%
Calculating edge similarities for 41 edges... 10.26%
Calculating edge similarities for 41 edges... 12.82%
Calculating edge similarities for 41 edges... 15.38%
Calculating edge similarities for 41 edges... 17.95%
Calculating edge similarities for 41 edges... 20.51%
Calculating edge similarities for 41 edges... 23.08%
Calculating edge similarities for 41 edges... 25.64%
Calculating edge similarities for 41 edges... 28.21%
Calculating edge similarities for 41 edges... 30.77%
Calculating edge similarities for 41 edges... 33.33%
Calculating edge similarities for 41 edges... 35.90%
Calculating edge similarities for 41 edges... 38.46%
Calculating edge similarities for 41 edges... 41.03%
Calculating edge similarities for 41 edges... 43.59%
Calculating edge similarities for 41 edges... 46.15%
Calculating edge similarities for 41 edges... 48.72%
Calculating edge similarities for 41 edges... 51.28%
Calculating edge similarities for 41 edges... 53.85%
Calculating edge similarities for 41 edges... 56.41%
Calculating edge similarities for 41 edges... 58.97%
Calculating edge similarities for 41 edges... 61.54%
Calculating edge similarities for 41 edges... 64.10%
Calculating edge similarities for 41 edges... 66.67%
Calculating edge similarities for 41 edges... 69.23%
Calculating edge similarities for 41 edges... 71.79%
Calculating edge similarities for 41 edges... 74.36%
Calculating edge similarities for 41 edges... 76.92%
Calculating edge similarities for 41 edges... 79.49%
Calculating edge similarities for 41 edges... 82.05%
Calculating edge similarities for 41 edges... 84.62%
Calculating edge similarities for 41 edges... 87.18%
Calculating edge similarities for 41 edges... 89.74%
Calculating edge similarities for 41 edges... 92.31%
Calculating edge similarities for 41 edges... 94.87%
Calculating edge similarities for 41 edges... 97.44%
Calculating edge similarities for 41 edges... 100.00%
Hierarchical clustering of edges...
Calculating link densities... 0.00%
Calculating link densities... 2.56%
Calculating link densities... 5.13%
Calculating link densities... 7.69%
Calculating link densities... 10.26%
Calculating link densities... 12.82%
Calculating link densities... 15.38%
Calculating link densities... 17.95%
Calculating link densities... 20.51%
Calculating link densities... 23.08%
Calculating link densities... 25.64%
Calculating link densities... 28.21%
Calculating link densities... 30.77%
Calculating link densities... 33.33%
Calculating link densities... 35.90%
Calculating link densities... 38.46%
Calculating link densities... 41.03%
Calculating link densities... 43.59%
Calculating link densities... 46.15%
Calculating link densities... 48.72%
Calculating link densities... 51.28%
Calculating link densities... 53.85%
Calculating link densities... 56.41%
Calculating link densities... 58.97%
Calculating link densities... 61.54%
Calculating link densities... 64.10%
Calculating link densities... 66.67%
Calculating link densities... 69.23%
Calculating link densities... 71.79%
Calculating link densities... 74.36%
Calculating link densities... 76.92%
Calculating link densities... 79.49%
Calculating link densities... 82.05%
Calculating link densities... 84.62%
Calculating link densities... 87.18%
Calculating link densities... 89.74%
Calculating link densities... 92.31%
Calculating link densities... 94.87%
Calculating link densities... 97.44%
Calculating link densities... 100.00%
Maximum partition density = 0.2601626
Finishing up...1/4... 12%
Finishing up...1/4... 25%
Finishing up...1/4... 37%
Finishing up...1/4... 50%
Finishing up...1/4... 62%
Finishing up...1/4... 75%
Finishing up...1/4... 87%
Finishing up...1/4... 100%
Finishing up...2/4... 12%
Finishing up...2/4... 25%
Finishing up...2/4... 37%
Finishing up...2/4... 50%
Finishing up...2/4... 62%
Finishing up...2/4... 75%
Finishing up...2/4... 87%
Finishing up...2/4... 100%
Finishing up...3/4... 12%
Finishing up...3/4... 25%
Finishing up...3/4... 37%
Finishing up...3/4... 50%
Finishing up...3/4... 62%
Finishing up...3/4... 75%
Finishing up...3/4... 87%
Finishing up...3/4... 100%
Finishing up...4/4... 0.00%
Finishing up...4/4... 4.76%
Finishing up...4/4... 9.52%
Finishing up...4/4... 14.29%
Finishing up...4/4... 19.05%
Finishing up...4/4... 23.81%
Finishing up...4/4... 28.57%
Finishing up...4/4... 33.33%
Finishing up...4/4... 38.10%
Finishing up...4/4... 42.86%
Finishing up...4/4... 47.62%
Finishing up...4/4... 52.38%
Finishing up...4/4... 57.14%
Finishing up...4/4... 61.90%
Finishing up...4/4... 66.67%
Finishing up...4/4... 71.43%
Finishing up...4/4... 76.19%
Finishing up...4/4... 80.95%
Finishing up...4/4... 85.71%
Finishing up...4/4... 90.48%
Finishing up...4/4... 95.24%
Finishing up...4/4... 100.00%
Plotting...
Colouring dendrogram... 1%
Colouring dendrogram... 2%
Colouring dendrogram... 3%
Colouring dendrogram... 4%
Colouring dendrogram... 6%
Colouring dendrogram... 7%
Colouring dendrogram... 8%
Colouring dendrogram... 9%
Colouring dendrogram... 11%
Colouring dendrogram... 12%
Colouring dendrogram... 13%
Colouring dendrogram... 14%
Colouring dendrogram... 16%
Colouring dendrogram... 17%
Colouring dendrogram... 18%
Colouring dendrogram... 19%
Colouring dendrogram... 20%
Colouring dendrogram... 22%
Colouring dendrogram... 23%
Colouring dendrogram... 24%
Colouring dendrogram... 25%
Colouring dendrogram... 27%
Colouring dendrogram... 28%
Colouring dendrogram... 29%
Colouring dendrogram... 30%
Colouring dendrogram... 32%
Colouring dendrogram... 33%
Colouring dendrogram... 34%
Colouring dendrogram... 35%
Colouring dendrogram... 37%
Colouring dendrogram... 38%
Colouring dendrogram... 39%
Colouring dendrogram... 40%
Colouring dendrogram... 41%
Colouring dendrogram... 43%
Colouring dendrogram... 44%
Colouring dendrogram... 45%
Colouring dendrogram... 46%
Colouring dendrogram... 48%
Colouring dendrogram... 49%
Colouring dendrogram... 50%
Colouring dendrogram... 51%
Colouring dendrogram... 53%
Colouring dendrogram... 54%
Colouring dendrogram... 55%
Colouring dendrogram... 56%
Colouring dendrogram... 58%
Colouring dendrogram... 59%
Colouring dendrogram... 60%
Colouring dendrogram... 61%
Colouring dendrogram... 62%
Colouring dendrogram... 64%
Colouring dendrogram... 65%
Colouring dendrogram... 66%
Colouring dendrogram... 67%
Colouring dendrogram... 69%
Colouring dendrogram... 70%
Colouring dendrogram... 71%
Colouring dendrogram... 72%
Colouring dendrogram... 74%
Colouring dendrogram... 75%
Colouring dendrogram... 76%
Colouring dendrogram... 77%
Colouring dendrogram... 79%
Colouring dendrogram... 80%
Colouring dendrogram... 81%
Colouring dendrogram... 82%
Colouring dendrogram... 83%
Colouring dendrogram... 85%
Colouring dendrogram... 86%
Colouring dendrogram... 87%
Colouring dendrogram... 88%
Colouring dendrogram... 90%
Colouring dendrogram... 91%
Colouring dendrogram... 92%
Colouring dendrogram... 93%
Colouring dendrogram... 95%
Colouring dendrogram... 96%
Colouring dendrogram... 97%
Colouring dendrogram... 98%
Colouring dendrogram... 100%
Completed... 3%
Completed... 6%
Completed... 10%
Completed... 13%
Completed... 16%
Completed... 20%
Completed... 23%
Completed... 26%
Completed... 30%
Completed... 33%
Completed... 36%
Completed... 40%
Completed... 43%
Completed... 46%
Completed... 50%
Completed... 53%
Completed... 56%
Completed... 60%
Completed... 63%
Completed... 66%
Completed... 70%
Completed... 73%
Completed... 76%
Completed... 80%
Completed... 83%
Completed... 86%
Completed... 90%
Completed... 93%
Completed... 96%
Completed... 100%
linkcomm documentation built on Feb. 4, 2021, 5:05 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/linkcomm_misc.R
Description
This function returns community-based node centrality measures.
Usage
1 2 | getCommunityCentrality(x, nodes = names(x$numclusters), type = "commweight",
normalise = TRUE)
|
Arguments
x |
An object of class |
nodes |
A character vector giving the names of nodes for calculating community centrality scores. Defaults to all nodes. |
type |
A character string naming the community centrality measure. Can be one of |
normalise |
Logical, whether to normalise community connectedness for |
Details
Community-based measures of node centrality provide an alternative to classic measures of node centrality. "commweight" weights each community that a node belongs to by how similar that community is to each of the other communities to which the node also belongs. For node i the community centrality is
Cc(i) = sum_{i in j}^{N}(1 - (1/m)*sum_{i in j&k}^{m}(S(j,k)))
where the main sum is over the N communities to which node i belongs, and S(j,k) refers to the similarity between community j and k, calculated as the Jaccard coefficient for the number of shared nodes between each community pair, and this is averaged over the m communities paired with community j and in which node i jointly belongs.
"commconn" weights each community that a node belongs to by how many connections the community forms outside of itself relative to how many connections the community has within itself (the inverse of modularity), so that nodes that belong to more highly connecting communitites will receive a higher community centrality score. For node i the community centrality is
Cc(i) = sum_{i in j}^{N}e_{ij}.(\check{e}_{B(j)}/\check{e}_{W(j)})
where e_{ij} is the number of edges node i has in community j, \check{e}_{B(j)}=\frac{e_{B(j)}}{n_{j}\bar{d}} is the number of edges community j makes outside of itself normalised by the number of nodes in community j multiplied by the average degree in the network, and \check{e}_{W(j)}=\frac{e_{W(j)}}{n(n-1)/2} is the number of edges within community j normalised by the total number possible.
Value
A named numerical vector where the names are node names and the numbers are community centrality measures.
Author(s)
Alex T. Kalinka alex.t.kalinka@gmail.com
References
Kalinka, A.T. and Tomancak, P. (2011). linkcomm: an R package for the generation, visualization, and analysis of link communities in networks of arbitrary size and type. Bioinformatics 27, 2011-2012.
See Also
Examples
1 2 3 4 5 6 | ## Generate graph and extract link communities.
g <- swiss[,3:4]
lc <- getLinkCommunities(g)
## Calculate community centrality.
cc <- getCommunityCentrality(lc)
|
Example output
Loading required package: igraph
Attaching package: 'igraph'
The following objects are masked from 'package:stats':
decompose, spectrum
The following object is masked from 'package:base':
union
Loading required package: RColorBrewer
Welcome to linkcomm version 1.0-11
For a step-by-step guide to using linkcomm functions:
> vignette(topic = "linkcomm", package = "linkcomm")
To run an interactive demo:
> demo(topic = "linkcomm", package = "linkcomm")
To cite, see:
> citation("linkcomm")
NOTE: To use linkcomm, you require read and write permissions in the current directory (see: help("getwd"), help("setwd"))
Checking for loops and duplicate edges... 0.000%
Checking for loops and duplicate edges... 2.174%
Checking for loops and duplicate edges... 4.348%
Checking for loops and duplicate edges... 6.522%
Checking for loops and duplicate edges... 8.696%
Checking for loops and duplicate edges... 10.870%
Checking for loops and duplicate edges... 13.043%
Checking for loops and duplicate edges... 15.217%
Checking for loops and duplicate edges... 17.391%
Checking for loops and duplicate edges... 19.565%
Checking for loops and duplicate edges... 21.739%
Checking for loops and duplicate edges... 23.913%
Checking for loops and duplicate edges... 26.087%
Checking for loops and duplicate edges... 28.261%
Checking for loops and duplicate edges... 30.435%
Checking for loops and duplicate edges... 32.609%
Checking for loops and duplicate edges... 34.783%
Checking for loops and duplicate edges... 36.957%
Checking for loops and duplicate edges... 39.130%
Checking for loops and duplicate edges... 41.304%
Checking for loops and duplicate edges... 43.478%
Checking for loops and duplicate edges... 45.652%
Checking for loops and duplicate edges... 47.826%
Checking for loops and duplicate edges... 50.000%
Checking for loops and duplicate edges... 52.174%
Checking for loops and duplicate edges... 54.348%
Checking for loops and duplicate edges... 56.522%
Checking for loops and duplicate edges... 58.696%
Checking for loops and duplicate edges... 60.870%
Checking for loops and duplicate edges... 63.043%
Checking for loops and duplicate edges... 65.217%
Checking for loops and duplicate edges... 67.391%
Checking for loops and duplicate edges... 69.565%
Checking for loops and duplicate edges... 71.739%
Checking for loops and duplicate edges... 73.913%
Checking for loops and duplicate edges... 76.087%
Checking for loops and duplicate edges... 78.261%
Checking for loops and duplicate edges... 80.435%
Checking for loops and duplicate edges... 82.609%
Checking for loops and duplicate edges... 84.783%
Checking for loops and duplicate edges... 86.957%
Checking for loops and duplicate edges... 89.130%
Checking for loops and duplicate edges... 91.304%
Checking for loops and duplicate edges... 93.478%
Checking for loops and duplicate edges... 95.652%
Checking for loops and duplicate edges... 97.826%
Checking for loops and duplicate edges... 100.000%
Found and removed 4 loop(s)
Found and removed 2 duplicate edge(s)
Calculating edge similarities for 41 edges... 0.00%
Calculating edge similarities for 41 edges... 2.56%
Calculating edge similarities for 41 edges... 5.13%
Calculating edge similarities for 41 edges... 7.69%
Calculating edge similarities for 41 edges... 10.26%
Calculating edge similarities for 41 edges... 12.82%
Calculating edge similarities for 41 edges... 15.38%
Calculating edge similarities for 41 edges... 17.95%
Calculating edge similarities for 41 edges... 20.51%
Calculating edge similarities for 41 edges... 23.08%
Calculating edge similarities for 41 edges... 25.64%
Calculating edge similarities for 41 edges... 28.21%
Calculating edge similarities for 41 edges... 30.77%
Calculating edge similarities for 41 edges... 33.33%
Calculating edge similarities for 41 edges... 35.90%
Calculating edge similarities for 41 edges... 38.46%
Calculating edge similarities for 41 edges... 41.03%
Calculating edge similarities for 41 edges... 43.59%
Calculating edge similarities for 41 edges... 46.15%
Calculating edge similarities for 41 edges... 48.72%
Calculating edge similarities for 41 edges... 51.28%
Calculating edge similarities for 41 edges... 53.85%
Calculating edge similarities for 41 edges... 56.41%
Calculating edge similarities for 41 edges... 58.97%
Calculating edge similarities for 41 edges... 61.54%
Calculating edge similarities for 41 edges... 64.10%
Calculating edge similarities for 41 edges... 66.67%
Calculating edge similarities for 41 edges... 69.23%
Calculating edge similarities for 41 edges... 71.79%
Calculating edge similarities for 41 edges... 74.36%
Calculating edge similarities for 41 edges... 76.92%
Calculating edge similarities for 41 edges... 79.49%
Calculating edge similarities for 41 edges... 82.05%
Calculating edge similarities for 41 edges... 84.62%
Calculating edge similarities for 41 edges... 87.18%
Calculating edge similarities for 41 edges... 89.74%
Calculating edge similarities for 41 edges... 92.31%
Calculating edge similarities for 41 edges... 94.87%
Calculating edge similarities for 41 edges... 97.44%
Calculating edge similarities for 41 edges... 100.00%
Hierarchical clustering of edges...
Calculating link densities... 0.00%
Calculating link densities... 2.56%
Calculating link densities... 5.13%
Calculating link densities... 7.69%
Calculating link densities... 10.26%
Calculating link densities... 12.82%
Calculating link densities... 15.38%
Calculating link densities... 17.95%
Calculating link densities... 20.51%
Calculating link densities... 23.08%
Calculating link densities... 25.64%
Calculating link densities... 28.21%
Calculating link densities... 30.77%
Calculating link densities... 33.33%
Calculating link densities... 35.90%
Calculating link densities... 38.46%
Calculating link densities... 41.03%
Calculating link densities... 43.59%
Calculating link densities... 46.15%
Calculating link densities... 48.72%
Calculating link densities... 51.28%
Calculating link densities... 53.85%
Calculating link densities... 56.41%
Calculating link densities... 58.97%
Calculating link densities... 61.54%
Calculating link densities... 64.10%
Calculating link densities... 66.67%
Calculating link densities... 69.23%
Calculating link densities... 71.79%
Calculating link densities... 74.36%
Calculating link densities... 76.92%
Calculating link densities... 79.49%
Calculating link densities... 82.05%
Calculating link densities... 84.62%
Calculating link densities... 87.18%
Calculating link densities... 89.74%
Calculating link densities... 92.31%
Calculating link densities... 94.87%
Calculating link densities... 97.44%
Calculating link densities... 100.00%
Maximum partition density = 0.2601626
Finishing up...1/4... 12%
Finishing up...1/4... 25%
Finishing up...1/4... 37%
Finishing up...1/4... 50%
Finishing up...1/4... 62%
Finishing up...1/4... 75%
Finishing up...1/4... 87%
Finishing up...1/4... 100%
Finishing up...2/4... 12%
Finishing up...2/4... 25%
Finishing up...2/4... 37%
Finishing up...2/4... 50%
Finishing up...2/4... 62%
Finishing up...2/4... 75%
Finishing up...2/4... 87%
Finishing up...2/4... 100%
Finishing up...3/4... 12%
Finishing up...3/4... 25%
Finishing up...3/4... 37%
Finishing up...3/4... 50%
Finishing up...3/4... 62%
Finishing up...3/4... 75%
Finishing up...3/4... 87%
Finishing up...3/4... 100%
Finishing up...4/4... 0.00%
Finishing up...4/4... 4.76%
Finishing up...4/4... 9.52%
Finishing up...4/4... 14.29%
Finishing up...4/4... 19.05%
Finishing up...4/4... 23.81%
Finishing up...4/4... 28.57%
Finishing up...4/4... 33.33%
Finishing up...4/4... 38.10%
Finishing up...4/4... 42.86%
Finishing up...4/4... 47.62%
Finishing up...4/4... 52.38%
Finishing up...4/4... 57.14%
Finishing up...4/4... 61.90%
Finishing up...4/4... 66.67%
Finishing up...4/4... 71.43%
Finishing up...4/4... 76.19%
Finishing up...4/4... 80.95%
Finishing up...4/4... 85.71%
Finishing up...4/4... 90.48%
Finishing up...4/4... 95.24%
Finishing up...4/4... 100.00%
Plotting...
Colouring dendrogram... 1%
Colouring dendrogram... 2%
Colouring dendrogram... 3%
Colouring dendrogram... 4%
Colouring dendrogram... 6%
Colouring dendrogram... 7%
Colouring dendrogram... 8%
Colouring dendrogram... 9%
Colouring dendrogram... 11%
Colouring dendrogram... 12%
Colouring dendrogram... 13%
Colouring dendrogram... 14%
Colouring dendrogram... 16%
Colouring dendrogram... 17%
Colouring dendrogram... 18%
Colouring dendrogram... 19%
Colouring dendrogram... 20%
Colouring dendrogram... 22%
Colouring dendrogram... 23%
Colouring dendrogram... 24%
Colouring dendrogram... 25%
Colouring dendrogram... 27%
Colouring dendrogram... 28%
Colouring dendrogram... 29%
Colouring dendrogram... 30%
Colouring dendrogram... 32%
Colouring dendrogram... 33%
Colouring dendrogram... 34%
Colouring dendrogram... 35%
Colouring dendrogram... 37%
Colouring dendrogram... 38%
Colouring dendrogram... 39%
Colouring dendrogram... 40%
Colouring dendrogram... 41%
Colouring dendrogram... 43%
Colouring dendrogram... 44%
Colouring dendrogram... 45%
Colouring dendrogram... 46%
Colouring dendrogram... 48%
Colouring dendrogram... 49%
Colouring dendrogram... 50%
Colouring dendrogram... 51%
Colouring dendrogram... 53%
Colouring dendrogram... 54%
Colouring dendrogram... 55%
Colouring dendrogram... 56%
Colouring dendrogram... 58%
Colouring dendrogram... 59%
Colouring dendrogram... 60%
Colouring dendrogram... 61%
Colouring dendrogram... 62%
Colouring dendrogram... 64%
Colouring dendrogram... 65%
Colouring dendrogram... 66%
Colouring dendrogram... 67%
Colouring dendrogram... 69%
Colouring dendrogram... 70%
Colouring dendrogram... 71%
Colouring dendrogram... 72%
Colouring dendrogram... 74%
Colouring dendrogram... 75%
Colouring dendrogram... 76%
Colouring dendrogram... 77%
Colouring dendrogram... 79%
Colouring dendrogram... 80%
Colouring dendrogram... 81%
Colouring dendrogram... 82%
Colouring dendrogram... 83%
Colouring dendrogram... 85%
Colouring dendrogram... 86%
Colouring dendrogram... 87%
Colouring dendrogram... 88%
Colouring dendrogram... 90%
Colouring dendrogram... 91%
Colouring dendrogram... 92%
Colouring dendrogram... 93%
Colouring dendrogram... 95%
Colouring dendrogram... 96%
Colouring dendrogram... 97%
Colouring dendrogram... 98%
Colouring dendrogram... 100%
Completed... 3%
Completed... 6%
Completed... 10%
Completed... 13%
Completed... 16%
Completed... 20%
Completed... 23%
Completed... 26%
Completed... 30%
Completed... 33%
Completed... 36%
Completed... 40%
Completed... 43%
Completed... 46%
Completed... 50%
Completed... 53%
Completed... 56%
Completed... 60%
Completed... 63%
Completed... 66%
Completed... 70%
Completed... 73%
Completed... 76%
Completed... 80%
Completed... 83%
Completed... 86%
Completed... 90%
Completed... 93%
Completed... 96%
Completed... 100%
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.