'LazyData' is specified without a 'data' directory
Running examples in 'RclusTool-Ex.R' failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: abdPlot
> ### Title: Abundances barplot
> ### Aliases: abdPlot
> ### Keywords: internal
> 
> ### ** Examples
> 
> dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
> colnames(dat) <- c("x","y")
> tf <- tempfile()
> write.table(dat, tf, sep=",", dec=".")
> 
> x <- importSample(file.features=tf, dir.save=tempdir())
Import Features...
Search previous results...

No previous results to load!

Sample size =  150
> 
> x <- computeUnSupervised(x, K=3, method.name='K-means')
K-means computing: method Quick
Error in data.sample$features[[space]] : missing subscript
Calls: computeUnSupervised -> clusterDensity
Execution halted
'LazyData' is specified without a 'data' directory
Running examples in ‘RclusTool-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: abdPlot
> ### Title: Abundances barplot
> ### Aliases: abdPlot
> ### Keywords: internal
> 
> ### ** Examples
> 
> dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
> colnames(dat) <- c("x","y")
> tf <- tempfile()
> write.table(dat, tf, sep=",", dec=".")
> 
> x <- importSample(file.features=tf, dir.save=tempdir())
Import Features...
Search previous results...

No previous results to load!

Sample size =  150
> 
> x <- computeUnSupervised(x, K=3, method.name='K-means')
K-means computing: method Quick
Error in data.sample$features[[space]] : missing subscript
Calls: computeUnSupervised -> clusterDensity
Execution halted
'LazyData' is specified without a 'data' directory
Running examples in ‘RclusTool-Ex.R’ failed
The error most likely occurred in:

> ### Name: abdPlot
> ### Title: Abundances barplot
> ### Aliases: abdPlot
> ### Keywords: internal
> 
> ### ** Examples
> 
> dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
> colnames(dat) <- c("x","y")
> tf <- tempfile()
> write.table(dat, tf, sep=",", dec=".")
> 
> x <- importSample(file.features=tf, dir.save=tempdir())
Import Features...
Search previous results...

No previous results to load!

Sample size =  150
> 
> x <- computeUnSupervised(x, K=3, method.name='K-means')
K-means computing: method Quick
Error in data.sample$features[[space]] : missing subscript
Calls: computeUnSupervised -> clusterDensity
Execution halted
'LazyData' is specified without a 'data' directory
Running examples in ‘RclusTool-Ex.R’ failed
The error most likely occurred in:

> ### Name: abdPlot
> ### Title: Abundances barplot
> ### Aliases: abdPlot
> ### Keywords: internal
> 
> ### ** Examples
> 
> dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
> colnames(dat) <- c("x","y")
> tf <- tempfile()
> write.table(dat, tf, sep=",", dec=".")
> 
> x <- importSample(file.features=tf, dir.save=tempdir())
Import Features...
Search previous results...

No previous results to load!

Sample size =  150
> 
> x <- computeUnSupervised(x, K=3, method.name='K-means')
K-means computing: method Quick
Error in data.sample$features[[space]] : missing subscript
Calls: computeUnSupervised -> clusterDensity
Execution halted
'LazyData' is specified without a 'data' directory
Running examples in 'RclusTool-Ex.R' failed
The error most likely occurred in:

> ### Name: abdPlot
> ### Title: Abundances barplot
> ### Aliases: abdPlot
> ### Keywords: internal
> 
> ### ** Examples
> 
> dat <- rbind(matrix(rnorm(100, mean = 2, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 4, sd = 0.3), ncol = 2), 
+              matrix(rnorm(100, mean = 6, sd = 0.3), ncol = 2))
> colnames(dat) <- c("x","y")
> tf <- tempfile()
> write.table(dat, tf, sep=",", dec=".")
> 
> x <- importSample(file.features=tf, dir.save=tempdir())
Import Features...
Search previous results...

No previous results to load!

Sample size =  150
> 
> x <- computeUnSupervised(x, K=3, method.name='K-means')
K-means computing: method Quick
Error in data.sample$features[[space]] : missing subscript
Calls: computeUnSupervised -> clusterDensity
Execution halted
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory