Running ‘testthat.R’ [153s/225s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(dimRed)
  Loading required package: DRR
  Loading required package: kernlab
  Loading required package: CVST
  Loading required package: Matrix
  
  Attaching package: 'dimRed'
  
  The following object is masked from 'package:stats':
  
      embed
  
  The following object is masked from 'package:base':
  
      as.data.frame
  
  > 
  > test_check("dimRed")
  predictors:  PC1 PC2 dependent:  PC3 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 443.6173 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 7159.634 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 176400.4 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 12616.08 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.4827271 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.3152148 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.4562257 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.4873184 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4957282 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4956931 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.5263301 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1642931 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1249839 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3099109 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4546774 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4873204 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4963543 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4963959 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.5001627 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1715927 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1108394 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.3123831 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.456655 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4873962 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4966403 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4958671 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4954132 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2322219 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1213783 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.3217448 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4586615 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4878438 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.4950143 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.495922 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.4957897 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.3796222 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.2313116 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.3856308 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.4729239 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.490139 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.4943974 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.4948611 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.4946313 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.470656 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.4222425 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.4697702 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.489185 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.4926121 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.4937869 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.4938242 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.493718 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.4902878 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.4844995 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.4905193 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.492741 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.4931187 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 18883.49 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 6686145 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 2262432 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 6.85872e+11 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 1.798124e+12 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 56679230767 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 134751.9 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 5.562231 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.086227 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.092246 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.095365 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 1.879193 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.037481 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 4.284032 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 3.837678 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.228484 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.086194 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.090036 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.08946 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 1.889493 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 1.829586 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.177897 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.151264 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 1.971875 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.086052 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.088584 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.0912 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.873412 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.777228 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.893412 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.920308 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.919556 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 2.07959 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 2.086144 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 2.089138 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 1.922019 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 1.717803 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 1.766972 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 1.842185 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 1.925708 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 2.076074 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 2.078606 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 2.086076 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 2.01579 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 1.8651 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 1.890841 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 1.986789 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 2.03278 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 2.072989 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 2.07336 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 2.074983 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 2.061545 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 2.030003 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 2.039954 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 2.05913 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 2.06557 )
  ── 1. Error: check vs vegan isomap (@test_isomap.R#14)  ────────────────────────
  data are fragmented
  1: vegan::isomap(dist(getData(a)), k = 8, ndim = 2) at testthat/test_isomap.R:14
  2: isomapdist(dist, ...)
  3: stop("data are fragmented")
  
  trace= 0 
  predictors:  PC1 PC2 PC3 dependent:  PC4 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 171730.5 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 217.5891 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 8.016885 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 0.0754035 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.02358376 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.02372625 )
  Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02716391 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02839841 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.04787165 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.03672105 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02393088 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02370968 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02367448 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02545677 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02675293 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02762392 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02664309 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02374923 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02370054 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.0236745 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02367484 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02436669 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02549451 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02530762 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02243515 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02332518 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.0237021 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02367462 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02367493 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.02404866 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.02432485 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02463085 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02291274 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.02341877 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.02368372 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.02367529 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.02367546 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.02389253 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.02394346 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02405614 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02343412 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.02356536 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367647 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367602 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367605 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373596 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373939 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02374178 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02364735 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.02366284 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.0236762 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.02367617 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.02367618 )
  predictors:  PC1 PC2 dependent:  PC3 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 246.6325 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 1
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 3656915 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 6.553852e+24 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.09366269 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.07370063 )
  Error in .local(a, b, ...) : 
    cs_lu(A) failed: near-singular A (or out of memory)
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.07548114 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08648826 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08384824 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.09705239 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1765602 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08160162 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.0737103 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07504279 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07548306 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08476255 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08861824 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.0780797 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08585938 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07730078 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07387431 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07506132 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07550018 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08270494 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08610841 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07693448 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07043248 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07470989 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07397435 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07524748 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07565807 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.08198216 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.08420035 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.08345696 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.07607074 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.07401439 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.0755692 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07626577 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07651293 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.08071665 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.08115936 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.08191835 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.07778698 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.0765699 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.07722193 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07741497 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07746377 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.07855527 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.07857787 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07858858 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07780805 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.07754994 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.07763637 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.07765804 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.07766344 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 1.17531e+13 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 336081.5 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 36333936 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 566165859204 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 6.715361e+14 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack dgecon(): system computationally singular, reciprocal condition number = 0
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 24
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack dgecon(): system computationally singular, reciprocal condition number = 0
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.2402295 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.222639 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2399298 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1933188 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1718948 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2390105 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4672174 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2473136 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2479683 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2220437 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2900738 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1955091 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1705816 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1512116 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1938349 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1972624 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2191278 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2231915 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2743491 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2431933 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.182074 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1356142 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1641017 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1950657 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2146241 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2251949 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.2614132 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.2693498 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1873274 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1643936 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.1705286 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.2017194 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2228668 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2309346 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.2534369 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.2557806 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2319767 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2076544 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.218241 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.2298045 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2365284 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.23904 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.2445277 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.2446289 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.2409432 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.2356809 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.2379747 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.2396508 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.240523 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2408274 )
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 115 SKIPPED: 0 FAILED: 1
  1. Error: check vs vegan isomap (@test_isomap.R#14) 
  
  Error: testthat unit tests failed
  Execution halted