igraph-错误的尺寸数警告：纸叠不平衡

Question

I don't know why I can't use R script for igraph any more that worked before. I would really appreciate it if you could help me with this. The script I used here is:

library(igraph)

matrix1<-as.matrix(data)

matrix1

     var1 var2 var3 var4 var5 var6 var7 var8
[1,] 1.00 0.04 0.21 0.39 0.06 0.37 0.03 0.44
[2,] 0.04 1.00 0.34 0.36 0.63 0.25 0.66 0.18
[3,] 0.21 0.34 1.00 0.44 0.41 0.57 0.72 0.62
[4,] 0.39 0.36 0.44 1.00 0.28 0.14 0.51 0.10
[5,] 0.06 0.63 0.41 0.28 1.00 0.50 0.73 0.39
[6,] 0.37 0.25 0.57 0.14 0.50 1.00 0.50 0.65
[7,] 0.03 0.66 0.72 0.51 0.73 0.50 1.00 0.52
[8,] 0.44 0.18 0.62 0.10 0.39 0.65 0.50 1.00

graph.adjacency(matrix1,mode='undirected',weighted=TRUE)

"then I get error message below"

Error in d[i, ] : incorrect number of dimensions Warning: stack imbalance in '.Call', 51 then 50

More information below:

> str(matrix1)
 num [1:8, 1:8] 1 0.04 0.21 0.39 0.06 0.37 0.03 0.44 0.04 1 ...
 - attr(*, "dimnames")=List of 2
  ..$ : NULL
  ..$ : chr [1:8] "var1" "var2" "var3" "var4" ...

> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)

locale:
[1] LC_COLLATE=English_Australia.1252  LC_CTYPE=English_Australia.1252   
[3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C                      
[5] LC_TIME=English_Australia.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] igraph_0.6.5-2

loaded via a namespace (and not attached):
 [1] colorspace_1.2-4   dichromat_2.0-0    digest_0.6.3       ggplot2_0.9.3.1   
 [5] grid_3.0.2         gtable_0.1.2       labeling_0.2       lattice_0.20-23   
 [9] MASS_7.3-29        Matrix_1.0-14      mgcv_1.7-26        munsell_0.4.2     
[13] nlme_3.1-111       plyr_1.8           proto_0.3-10       RColorBrewer_1.0-5
[17] reshape2_1.2.2     scales_0.2.3       stringr_0.6.2      tools_3.0.2    

> traceback()
4: c(list(), list(logical(0)))
3: .Call("R_igraph_weighted_adjacency", adjmatrix, as.numeric(mode), 
       weighted, diag, PACKAGE = "igraph")
2: graph.adjacency.dense(adjmatrix, mode = mode, weighted = weighted, 
       diag = diag)
1: graph.adjacency(matrix1, mode = "undirected", weighted = TRUE)

Thanks!

Answer 1

The following works fine for me with igraph 0.6.5-2, R 3.0.1, OSX Lion, so please include some self contained code that reproduces your problem, also your igraph and R version and platform. Thanks.

matrix1 <- as.matrix(read.table(header=TRUE, textConnection("
 var1 var2 var3 var4 var5 var6 var7 var8
 1.00 0.04 0.21 0.39 0.06 0.37 0.03 0.44
 0.04 1.00 0.34 0.36 0.63 0.25 0.66 0.18
 0.21 0.34 1.00 0.44 0.41 0.57 0.72 0.62
 0.39 0.36 0.44 1.00 0.28 0.14 0.51 0.10
 0.06 0.63 0.41 0.28 1.00 0.50 0.73 0.39
 0.37 0.25 0.57 0.14 0.50 1.00 0.50 0.65
 0.03 0.66 0.72 0.51 0.73 0.50 1.00 0.52
 0.44 0.18 0.62 0.10 0.39 0.65 0.50 1.00
")))

graph.adjacency(matrix1, mode='undirected', weighted=TRUE)
# IGRAPH UNW- 8 36 -- 
# + attr: name (v/c), weight (e/n)

Answer 2

I needed to remove all objects.

Type in rm(list=ls()) .

Then, the R scripts I used above should work.