CRAN Package Check Results for Package funcy

Last updated on 2018-06-02 07:48:33 CEST.

Check Details

Version: 0.8.6
Check: pragmas in C/C++ headers and code
Result: NOTE
    File which contains pragma(s) suppressing diagnostics:
     ‘src/base/common.h’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-windows-ix86+x86_64

Version: 0.8.6
Check: compiled code
Result: NOTE
    File ‘funcy/libs/funcy.so’:
     Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’
    
    It is good practice to register native routines and to disable symbol
    search.
    
    See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 : *4 :Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     *Loading required namespace: funHDDC
     * *Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
     *Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     *
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [48s/47s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     5 : * *5 : * * * *5 : * *
     *
    
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 : * * *4 :
     *Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     * *
    Loading required namespace: funHDDC
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [35s/35s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 :Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     * *5 : * * * *
     5 : * *
     *
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 :Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     *4 :Loading required namespace: funHDDC
     * * *Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
     * *
    
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [56s/48s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     5 : *5 : * * * *5 : * * * *
    
    
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 : *4 :Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     * * *Loading required namespace: funHDDC
     * *
    
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [55s/47s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     5 : * *5 : * * * *5 : *
     * *
    
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.8.6
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'funcy-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    Warning in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Parallel computing is only supported on Unix platforms.
    4 : * * *
    4 : * * *
    Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Loading required namespace: funHDDC
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
    Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
    Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.8.6
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'funcy-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    Warning in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Parallel computing is only supported on Unix platforms.
    4 : * * *
    4 : * * *
    Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Loading required namespace: funHDDC
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
    Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
    Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.8.6
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testMethods.R' [13s]
    Running the tests in 'tests/testMethods.R' failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *
     5 : * * *
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
     Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
     In addition: Warning messages:
     1: In funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Parallel computing is only supported on Unix platforms.
     2: In funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     3: In Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 5
     4: In funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 5 classes is not possible. 4 clusters are used!
     5: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 4 classes is not possible. 3 clusters are used!
     6: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
     7: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     8: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.8.6
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testMethods.R' [15s]
    Running the tests in 'tests/testMethods.R' failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *
     5 : * * *
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
     Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
     In addition: Warning messages:
     1: In funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Parallel computing is only supported on Unix platforms.
     2: In funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     3: In Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 5
     4: In funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 5 classes is not possible. 4 clusters are used!
     5: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 4 classes is not possible. 3 clusters are used!
     6: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
     7: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     8: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 : * *4 :Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     * * * *Loading required namespace: funHDDC
    
    
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [45s/46s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     5 : *5 : * * * * *
     5 :
     * * *
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-patched-linux-x86_64

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 :Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
    Loading required namespace: funHDDC
    4 : * * *Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     * *Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     *
    
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [71s/64s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *Loading required namespace: Funclustering
     Loading required namespace: funHDDC
    
     5 : * * *
     5 : * * *
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    4 : * * *4 :Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     *Loading required namespace: funHDDC
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
     *Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    
     *Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-release-linux-x86_64

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [44s/45s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     Loading required namespace: Funclustering
     5 :Loading required namespace: funHDDC
     * *5 : * * * *5 : *
     *
     *
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-release-linux-x86_64

Version: 0.8.6
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'funcy-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    Warning in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Parallel computing is only supported on Unix platforms.
    4 : * * *
    4 : * * *
    Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
    Loading required namespace: funHDDC
    Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
    Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
    Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.8.6
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testMethods.R' [14s]
    Running the tests in 'tests/testMethods.R' failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *
     5 : * * *
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
     Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
     In addition: Warning messages:
     1: In funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Parallel computing is only supported on Unix platforms.
     2: In funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     3: In Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 5
     4: In funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 5 classes is not possible. 4 clusters are used!
     5: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 4 classes is not possible. 3 clusters are used!
     6: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
     7: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     8: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.8.6
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testMethods.R' [16s]
    Running the tests in 'tests/testMethods.R' failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *
     5 : * * *
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
     Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
     In addition: Warning messages:
     1: In funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Parallel computing is only supported on Unix platforms.
     2: In funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     3: In Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 5
     4: In funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 5 classes is not possible. 4 clusters are used!
     5: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 4 classes is not possible. 3 clusters are used!
     6: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
     7: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     8: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.8.6
Check: examples
Result: ERROR
    Running examples in ‘funcy-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: funcyOutList-class
    > ### Title: Class '"funcyOutList"'
    > ### Aliases: funcyOutList-class funcyOutList
    > ### Keywords: classes
    >
    > ### ** Examples
    >
    > set.seed(2808)
    > ds <- sampleFuncy(obsNr=30, k=4, timeNr=7)
    > data <- Data(ds)
    > clusters <- Cluster(ds)
    >
    > res <- funcit(data=data, clusters=clusters, seed=2808,
    + methods=1:5, k=4, parallel=TRUE)
    Warning in funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
    4 :Loading required namespace: funHDDC
     * *4 : * * *Warning in funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 4 classes is not possible. 3 clusters are used!
     *Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
    
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
    Warning in Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 4
    Warning in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
    
    Error in funcit(data = data, clusters = clusters, seed = 2808, methods = 1:5, :
     Method funHDDC : Clustering for this data not possible.
    Execution halted
Flavor: r-release-osx-x86_64

Version: 0.8.6
Check: tests
Result: ERROR
     Running ‘testMethods.R’ [52s/57s]
    Running the tests in ‘tests/testMethods.R’ failed.
    Last 13 lines of output:
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     5 : * *5 : * * * *
     5 : * * *
    
     Error in funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Method funHDDC : Clustering for this data not possible.
     Execution halted
Flavor: r-release-osx-x86_64

Version: 0.8.6
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testMethods.R' [18s]
    Running the tests in 'tests/testMethods.R' failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *
     5 : * * *
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
     Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
     In addition: Warning messages:
     1: In funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Parallel computing is only supported on Unix platforms.
     2: In funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     3: In Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 5
     4: In funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 5 classes is not possible. 4 clusters are used!
     5: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 4 classes is not possible. 3 clusters are used!
     6: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
     7: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     8: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 0.8.6
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testMethods.R' [21s]
    Running the tests in 'tests/testMethods.R' failed.
    Complete output:
     >
     > ##regular data set**********************************************
     >
     > if(1){
     + ##detach("package:funcy",
     + ##unload=TRUE)
     + start <- proc.time()
     + parallel=TRUE
     + library(funcy)
     +
     + ##regular data sets******************************************
     + k <- 5
     +
     + set.seed(3804)
     + ds <- sampleFuncy(obsNr=100, timeNr=20, reg=TRUE, k=k, sd=.4)
     + plotFuncy(ds@data)
     +
     + ##try to cluster
     + methods <- "ALL"
     +
     + res1 <- funcit(methods=methods, data=ds@data, k=k,
     + clusters=ds@clusters, seed=2405,
     + save.data=TRUE, parallel=parallel)
     +
     + plot(res1)
     +
     + ##irregular data set which is made regular*******************
     + set.seed(3805)
     + ds <- sampleFuncy(reg=FALSE, timeNrMin=5, timeNrMax=10, k=k, sd=0.3)
     + plotFuncy(ds)
     +
     + ##make it reg
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=5,
     + method="interpolate")$data
     + data <- regFuncy(ds@data, baseType="splines", timeNr=10, nbasis=10, method="project")$data
     + ##data <- regFuncy(ds@data, method="pace", timeNr=10)$data
     +
     + res2 <- funcit(methods=methods, seed=2506, data=data, k=4)
     +
     +
     + ##irregular data set*****************************************
     + k <- 4
     + set.seed(3806)
     + ds <- sampleFuncy(timeNrMin=5, timeNrMax=10, reg=FALSE, k=k, sd=0.3)
     +
     + a <- list(coeffsCalc="estimate", average=TRUE)
     + fpcCtrl <- as(a, "fpcCtrl")
     +
     + b <- list(maxit=5, baseType="eigenbasis", flexDim=TRUE)
     + funcyCtrlMbc <- as(b, "funcyCtrlMbc")
     + ##funcyCtrlMbc@baseType <- "splines"
     +
     + res3 <- funcit(methods=c(1,2,3),data=ds@data,k=k,
     + clusters=ds@clusters,
     + fpcCtrl=fpcCtrl,
     + funcyCtrl=funcyCtrlMbc,
     + save.data=TRUE,
     + parallel=parallel)
     +
     + plot(res1, select=1, type="all")
     + plot(res1, select=c(1,2), type="centers")
     + plot(res1, select=1, type="dist2centers")
     +
     + ##special plot functions for fitclust-object
     + plot(res1,select="fitfclust", type="discrim")
     + plot(res1, select="fitfclust", type="conf")
     +
     + ##special plot functions for FSCM-object
     + plot(res1,select="fscm", type="overview")
     + plot(res1,select="fscm", type="deviations")
     + plot(res1, select="fscm", type="locations")
     +
     +
     + plot(res3, type="all")
     + plot(res3, type="accordance")
     + plot(res3, select=3, type="fpc")
     + b <- proc.time()-start
     + }
     Loading required package: flexclust
     Loading required package: grid
     Loading required package: lattice
     Loading required package: modeltools
     Loading required package: stats4
     Loading required package: splines
     5 : * * *
     5 : * * *
     Loading required namespace: Funclustering
     Loading required namespace: funHDDC
     Error in funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering for this data not possible.
     Calls: funcit ... funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper -> funHDDCWrapper
     In addition: Warning messages:
     1: In funcit(methods = methods, data = ds@data, k = k, clusters = ds@clusters, :
     Parallel computing is only supported on Unix platforms.
     2: In funclustWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     It is not possible to set a seed for method funclust.
     3: In Funclustering::funclust(fd = fd, K = k, thd = thd, increaseDimension = increaseDimension, :
     Convergence of the algorithm to a solution with at least one empty cluster.
     Restart or a choose a smaller value for K = 5
     4: In funHDDCWrapper(data = data, k = k, reg = reg, regTime = regTime, :
     Clustering with 5 classes is not possible. 4 clusters are used!
     5: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 4 classes is not possible. 3 clusters are used!
     6: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 3 classes is not possible. 2 clusters are used!
     7: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 2 classes is not possible. 1 clusters are used!
     8: In funHDDCWrapper(data, k, reg, regTime, funcyCtrlMbc, model = "AkBkQkDk", :
     Clustering with 1 classes is not possible. 0 clusters are used!
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64