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The error I get:
"NOTE: Some of the specified dimensions do not exist in the grid
Error in if (n.var != 1) { : missing value where TRUE/FALSE needed"
The code I try to run
grid <- CMIP5_Iberia_psl
newdata <- CMIP5_Iberia_psl.rcp85
cluster.training <- clusterGrid(grid = grid, type = "som", centers = c(10,1))
clusters.prediction <- clusterGrid(grid = cluster.training, newdata = newdata, centers = attr(cluster.training, "centers"))
My ideas:
Since I am using the default data and example, I believe there is some dependency problem between the packages I am using.
Do you have any suggestions on how I could overcome the issue? It seems that the same code using kmean clustering would work, but I prefer to use SOM if possible.
Thank you!
Sabin
This is the output of my print(sessionInfo()):
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
The error I get:
"NOTE: Some of the specified dimensions do not exist in the grid
Error in if (n.var != 1) { : missing value where TRUE/FALSE needed"
The code I try to run
grid <- CMIP5_Iberia_psl
newdata <- CMIP5_Iberia_psl.rcp85
cluster.training <- clusterGrid(grid = grid, type = "som", centers = c(10,1))
clusters.prediction <- clusterGrid(grid = cluster.training, newdata = newdata, centers = attr(cluster.training, "centers"))
My ideas:
Since I am using the default data and example, I believe there is some dependency problem between the packages I am using.
Do you have any suggestions on how I could overcome the issue? It seems that the same code using kmean clustering would work, but I prefer to use SOM if possible.
Thank you!
Sabin
This is the output of my print(sessionInfo()):
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] loadeR_1.7.0 climate4R.UDG_0.2.0 loadeR.java_1.1.1
[4] rJava_0.9-13 transformeR_2.1.1
loaded via a namespace (and not attached):
[1] padr_0.5.3 shape_1.4.5 RcppEigen_0.3.3.7.0
[4] spam_2.5-1 zoo_1.8-8 akima_0.6-2.1
[7] pbapply_1.4-3 splines_4.0.2 lattice_0.20-41
[10] tcltk_4.0.2 colorspace_2.0-1 mapplots_1.5.1
[13] gridGraphics_0.5-0 survival_3.1-12 rlang_0.4.7
[16] sm_2.2-5.6 easyVerification_0.4.4 CircStats_0.2-6
[19] sp_1.4-2 RColorBrewer_1.1-2 foreach_1.5.0
[22] jpeg_0.1-8.1 lifecycle_0.2.0 verification_1.42
[25] fields_11.5 dotCall64_1.0-0 gtable_0.3.0
[28] munsell_0.5.0 codetools_0.2-16 latticeExtra_0.6-29
[31] parallel_4.0.2 evd_2.3-3 Rcpp_1.0.5
[34] scales_1.1.1 abind_1.4-5 kohonen_3.0.10
[37] gridExtra_2.3 png_0.1-7 dtw_1.22-3
[40] grid_4.0.2 tools_4.0.2 bitops_1.0-6
[43] magrittr_2.0.1 maps_3.3.0 glmnet_4.0-2
[46] RCurl_1.98-1.2 proxy_0.4-24 SpecsVerification_0.5-3
[49] MASS_7.3-51.6 Matrix_1.2-18 data.table_1.13.0
[52] deepnet_0.2 iterators_1.0.12 R6_2.4.1
[55] vioplot_0.3.5 boot_1.3-25 compiler_4.0.2
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