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layout _igraph

作者:高考题库网
来源:https://www.bjmy2z.cn/gaokao
2021-02-01 21:58
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2021年2月1日发(作者:horsetail)




layout __igraph


Generate coordinates for plotting graphs


1


Description


Some simple and not so simple functions determining the placement of the vertices for


drawing a graph.



2


Usage


1)


(graph, dim=2, ...)


2)


(graph, params, dim=2)


3)


(graph, params)


4)


(graph, params)


5)


ld(graph, ..., dim=2, params)


6)


(graph, ..., dim=2, params)


7)


(graph, ..., params)


8)


d(graph, ..., params)


9)


(graph, ..., params)


10)


(graph, ..., params)


11)


pt(graph, ..., params=list())


12)


(graph, d=(graph), ...)


13)


(layout, xmin = NULL, xmax = NULL, ymin = NULL, ymax = NULL,


i.


zmin = NULL, zmax = NULL)


3


Arguments


graph


The graph to place.


params






1



,



11






The list of function dependent parameters.


dim


Numeric constant, either 2 or 3. Some functions are able to generate 2d and 3d layouts


as well, supply this argument to change the default behavior.


......


Function dependent parameters, this is an alternative notation to the params argument.


For these extra parameters are simply passed to the real layout function, if one is


called.


d


The matrix used for singular value decomposition. By default it is the distance matrix of


the graph.


layout


A matrix with two or three columns, the layout to normalize.


xmin,xmax


The limits for the first coordinate, if one of them or both are NULL then no normalization is


performed along this direction.


ymin,ymax


The limits for the second coordinate, if one of them or both are NULL then no


normalization is performed along this direction.


zmin,zmax


The limits for the third coordinate, if one of them or both are NULL then no normalization


is performed along this direction.


4


Details


These functions calculate the coordinates of the vertices for a graph usually based on some


optimality criterion.


4.1



tries to choose an appropriate layout function for the supplied graph, and uses that to generate


the layout. The current implementations works like this:







2



,



11






the graph has a graph attribute called ?layout?, then this is used. If this attribute is an R


function, then it is called, with the graph and any other extra arguments.


ise,


if


the


graph


has


vertex


attributes


called


?x?


and


?y?,


then


these


are


used


as


coordinates. If the graph has an additional ?z? vertex attribute, that is also used.



ise,


if


the


graph


is


connected


and


has


less


than


100


vertices,


the


Kamada-Kawai


layout is used, by calling .


ise, if the graph has less than 1000 vertices, then the Fruchterman-Reingold layout is


used, by calling ld.


ise the DrL layout is used, is called.



4.2



simply places the vertices randomly on a square. It has no parameters.



4.3



places the vertices on a unit circle equidistantly. It has no paramaters.



4.4




places


the


vertices


(approximately)


uniformly


on


the


surface


of


a


sphere,


this


is


thus


a


3d


layout. It is not clear however what “uniformly on a sphere” means.




4.5


ld


uses


a


force- based


algorithm


proposed


by


Fruchterman


and


Reingold,


see


references.


Parameters and their default values:


niter


Numeric, the number of iterations to perform (500).


coolexp


Numeric, the cooling exponent for the simulated annealing (3).






3



,



11






maxdelta


aximumchange (vcount(graph)).


area


Area parameter (vcount(graph)^2).


repulserad


Cancellation radius (


area


*vcount(graph)).


weights


A vector giving edge weights or NULL. If not NULL then the attraction along the edges will be


multiplied by the given edge weights (NULL).


minx


If


not


NULL,


then


it


must


be


a


n


umeric


vector


that


gives


lower


boundaries


for


the


?x?


coordinates of the vertices. The length of the vector must match the number of vertices in the


graph.


maxx


Similar to minx, but gives the upper boundaries.


miny


Similar to minx, but gives the lower boun


daries of the ?y? coordinates.



maxy


Similar to minx, but gives the upper boundaries of the ?y? coordinates.



minz


Similar to minx, but gives the lower boundaries of the ?z? coordinates, if the dim argument is 3.


Otherwise it is ignored.


maxz


Similar to minx


, but gives the upper boundaries of the ?z? coordinates, if the dim argument is 3.


Otherwise it is ignored.


start


If given, then it should be a matrix with two columns and one line for each vertex. This matrix


will be used as starting positions for the algorithm. If not given, then a random starting matrix is


used.


This function was ported from the


SNA


package.






4



,



11







4.6



is another force based algorithm. Parameters and default values:


niter


Number of iterations to perform (1000).


sigma


Sets the base standard deviation of position change proposals (vcount(graph)/4).


initemp


The initial temperature (10).


coolexp


The cooling exponent (0.99).


kkconst


Sets the Kamada- Kawai vertex attraction constant (vcount(graph)**2).


minx


If


not


NULL,


then


it


must


be


a


numeric


vector


that


gives


lower


boundaries


for


the


?x?


coordinates of the vertices. The length of the vector must match the number of vertices in the


graph.


maxx


Similar


to


minx,


but


gives


the


upper


milar


to


minx,


but


gives


the


lower


boundaries of the ?y? coordinates.



maxy


Similar to minx, but gives the upper boundaries of the ?y? coordinates.



minz


Similar to minx, but gives the lower boundaries of the ?z? coordinates, if the dim argument is 3.


Otherwise it is ignored.


maxz


Similar to


minx, but gives the upper boundaries of the ?z? coordinates, if the dim argument is 3.


Otherwise it is ignored.


start






5



,



11



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