Error(s) in re-building vignettes:
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--- re-building ‘Tutoriel.Rmd’ using rmarkdown

TraMineR stable version 2.2-0.1 (Built: 2020-10-23)
Website: http://traminer.unige.ch
Please type 'citation("TraMineR")' for citation information.

TraMineRextras stable version 0.6.0 (Built: 2020-10-23)
Functions provided by this package are still in test
    and subject to changes in future releases.
This is WeightedCluster stable version 1.4-1 (Built: 2020-10-23)

To get the manuals, please run:
   vignette("WeightedCluster") ## Complete manual in English
   vignette("WeightedClusterFR") ## Complete manual in French
   vignette("WeightedClusterPreview") ## Short preview in English

To cite WeightedCluster in publications please use:
Studer, Matthias (2013). WeightedCluster Library Manual: A practical
   guide to creating typologies of trajectories in the social sciences
   with R. LIVES Working Papers, 24. doi:
   10.12682/lives.2296-1658.2013.24

Attaching package: 'ade4'

The following object is masked from 'package:FactoMineR':

    reconst


Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

 [>] 6 distinct states appear in the data: 
     1 = 1
     2 = 2
     3 = 3
     4 = 4
     5 = 5
     6 = 6
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  1           1        études
     2  2           2        temps plein
     3  3           3        temps partiel
     4  4           4        petits boulots
     5  5           5        inactivité
     6  6           6        serv. militaire
 [>] 500 sequences in the data set
 [>] min/max sequence length: 37/37
 [>] creating 6x6 substitution-cost matrix using 2 as constant value
 [>] 500 sequences with 6 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] 377 distinct  sequences 
 [>] min/max sequence lengths: 37/37
 [>] computing distances using the OM metric
 [>] elapsed time: 0.402 secs
 [>] Using k=50 frequency groups
 [>] Pseudo/median-based-R2: 0.5401073
 [>] Pseudo/median-based-F statistic: 10.78549
 [>] number of objects (sum of weights): 121
 [>] max. distance: 74
 [>] neighborhood radius: 7.4
 [>] 10 representative(s) selected
 [>] 96 distinct sequence(s)
 [>] number of objects (sum of weights): 271
 [>] max. distance: 74
 [>] neighborhood radius: 7.4
 [>] 10 representative(s) selected
 [>] 176 distinct sequence(s)
 [>] number of objects (sum of weights): 26
 [>] max. distance: 74
 [>] neighborhood radius: 7.4
 [>] 10 representative(s) selected
 [>] 26 distinct sequence(s)
 [>] number of objects (sum of weights): 71
 [>] max. distance: 74
 [>] neighborhood radius: 7.4
 [>] 10 representative(s) selected
 [>] 68 distinct sequence(s)
 [>] number of objects (sum of weights): 11
 [>] max. distance: 74
 [>] neighborhood radius: 7.4
 [>] 10 representative(s) selected
 [>] 11 distinct sequence(s)
 [>] computing state distribution for 500 sequences ...
Warning in if (class(D) == "dist") D <- as.matrix(D) :
  the condition has length > 1 and only the first element will be used
 [>] setting 'stsep' as "-" (autodetected)
 [>] 2 distinct states appear in the data: 
     1 = 1
     2 = 2
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  1           1        1
     2  2           2        2
     3  3           3        3
     4  4           4        4
     5  5           5        5
     6  6           6        6
 [>] 1 sequences in the data set
 [>] min/max sequence length: 37/37
 [>] 500 sequences with 6 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] using reference sequence (1,4)-(2,33)
 [>] 377 distinct  sequences (including refseq)
 [>] min/max sequence lengths: 37/37
 [>] computing distances using the OM metric
 [>] elapsed time: 0.167 secs
notch went outside hinges. Try setting notch=FALSE.
notch went outside hinges. Try setting notch=FALSE.
 [>] computing state distribution for 500 sequences ...
 [>] 4 distinct states appear in the data: 
     1 = 1
     2 = 2
     3 = 3
     4 = 4
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  1           1        jamais
     2  2           2        union libre
     3  3           3        marié
     4  4           4        separé
 [>] 500 sequences in the data set
 [>] min/max sequence length: 22/22
 [>] 4 distinct states appear in the data: 
     1 = 0
     2 = 1
     3 = 2
     4 = 3
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  0           0        0
     2  1           1        1
     3  2           2        2
     4  3           3        3+
 [>] 500 sequences in the data set
 [>] min/max sequence length: 22/22
 [>] 2 distinct states appear in the data: 
     1 = 0
     2 = 1
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  0           0        non indépendant
     2  1           1        indépendant
 [>] 500 sequences in the data set
 [>] min/max sequence length: 22/22
 [>] 500 sequences with 4 distinct states
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] checking 'sm' (size and triangle inequality)
 [>] 140 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.096 secs
 [>] 500 sequences with 4 distinct states
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] checking 'sm' (size and triangle inequality)
 [>] 207 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.098 secs
 [>] 500 sequences with 2 distinct states
 [>] creating 2x2 substitution-cost matrix using 2 as constant value
 [>] checking 'sm' (size and triangle inequality)
 [>] 95 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.076 secs
 [>] 3 channels with 500 sequences
 [>] computing substitution cost matrix for channel 1
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] computing substitution cost matrix for channel 2
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] computing substitution cost matrix for channel 3
 [>] creating 2x2 substitution-cost matrix using 2 as constant value
 [>] building combined sequences... OK
 [>] computing combined substitution and indel costs... OK
 [>] computing distances ...
 [>] 500 sequences with 32 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] 460 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.296 secs
 [>] 2 channels with 500 sequences
 [>] computing substitution cost matrix for channel 1
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] computing substitution cost matrix for channel 2
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] building combined sequences... OK
 [>] computing combined substitution and indel costs... OK
 [>] computing distances ...
 [>] 500 sequences with 16 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] 399 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.201 secs
 [>] 2 channels with 500 sequences
 [>] computing substitution cost matrix for channel 1
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] computing substitution cost matrix for channel 2
 [>] creating 2x2 substitution-cost matrix using 2 as constant value
 [>] building combined sequences... OK
 [>] computing combined substitution and indel costs... OK
 [>] computing distances ...
 [>] 500 sequences with 8 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] 404 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.197 secs
 [>] 2 channels with 500 sequences
 [>] computing substitution cost matrix for channel 1
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] computing substitution cost matrix for channel 2
 [>] creating 2x2 substitution-cost matrix using 2 as constant value
 [>] building combined sequences... OK
 [>] computing combined substitution and indel costs... OK
 [>] computing distances ...
 [>] 500 sequences with 8 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] 306 distinct  sequences 
 [>] min/max sequence lengths: 22/22
 [>] computing distances using the OM metric
 [>] elapsed time: 0.15 secs
 [>] 5 distinct states appear in the data: 
     1 = 1
     2 = 3
     3 = 5
     4 = 8
     5 = 9
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  1           1        indép
     2  3           3        moyen/sup
     3  5           5        popu
     4  8           8        inactivité
     5  9           9        études
 [>] 400 sequences in the data set
 [>] min/max sequence length: 47/47
 [>] 4 distinct states appear in the data: 
     1 = 1
     2 = 2
     3 = 3
     4 = 4
 [>] state coding:
       [alphabet]  [label]  [long label] 
     1  1           1        études
     2  2           2        inactivité
     3  3           3        temps partiel
     4  4           4        temps plein
 [>] 400 sequences in the data set
 [>] min/max sequence length: 15/15
 [>] 400 sequences with 5 distinct states
 [>] creating a 'sm' with a substitution cost of 2
 [>] creating 5x5 substitution-cost matrix using 2 as constant value
 [>] 285 distinct  sequences 
 [>] min/max sequence lengths: 47/47
 [>] computing distances using the LCS metric
 [>] elapsed time: 0.449 secs
 [>] creating 4x4 substitution-cost matrix using 2 as constant value
 [>] 400 sequences with 4 distinct states
 [>] checking 'sm' (size and triangle inequality)
 [>] 143 distinct  sequences 
 [>] min/max sequence lengths: 15/15
 [>] computing distances using the HAM metric
 [>] elapsed time: 0.048 secs
Warning in par(oldpar) : graphical parameter "cin" cannot be set
Warning in par(oldpar) : graphical parameter "cra" cannot be set
Warning in par(oldpar) : graphical parameter "csi" cannot be set
Warning in par(oldpar) : graphical parameter "cxy" cannot be set
Warning in par(oldpar) : graphical parameter "din" cannot be set
Warning in par(oldpar) : graphical parameter "page" cannot be set
Warning: MathJax doesn't work with self_contained when not using the rmarkdown "default" template.
Could not fetch http://nicolas.robette.free.fr/Docs/seqtree.png
HttpExceptionRequest Request {
  host                 = "nicolas.robette.free.fr"
  port                 = 80
  secure               = False
  requestHeaders       = []
  path                 = "/Docs/seqtree.png"
  queryString          = ""
  method               = "GET"
  proxy                = Nothing
  rawBody              = False
  redirectCount        = 10
  responseTimeout      = ResponseTimeoutDefault
  requestVersion       = HTTP/1.1
}
 (ConnectionFailure Network.Socket.getAddrInfo (called with preferred socket type/protocol: AddrInfo {addrFlags = [], addrFamily = AF_UNSPEC, addrSocketType = Stream, addrProtocol = 0, addrAddress = <assumed to be undefined>, addrCanonName = <assumed to be undefined>}, host name: Just "nicolas.robette.free.fr", service name: Just "80"): does not exist (Temporary failure in name resolution))
Error: processing vignette 'Tutoriel.Rmd' failed with diagnostics:
pandoc document conversion failed with error 61
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SUMMARY: processing the following file failed:
  ‘Tutoriel.Rmd’

Error: Vignette re-building failed.
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