Stirling2nd function computes the Stirling numbers of the second kind.

Description

This function returns the estimated Stirling numbers of the second kind i.e., the number of ways of partitioning a set of n objects into k nonempty groups.

Usage

Stirling2nd(n,k)

Arguments

Value

The Stirling number of the 2nd kind for n elements and k groups or NaN (if the Stirling number for those n and k is greater than 1e300).

Examples

  Stirling2nd(n=3,k=2)
  # Expected value=3
  Stirling2nd(n=300,k=20)
  # Expected value=NaN  

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ClusterStability)
Loading required package: Rcpp
Loading required package: clusterCrit
Loading required package: cluster
Loading required package: copula
Loading required package: WeightedCluster
Loading required package: TraMineR

TraMineR stable version 1.8-12 (Built: 2016-07-02)
Website: http://traminer.unige.ch
Please type 'citation("TraMineR")' for citation information.

This is WeightedCluster stable version 1.2 (Built: 2016-07-02)

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
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ClusterStability/Stirling2nd.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Stirling2nd
> ### Title: Stirling2nd function computes the Stirling numbers of the second
> ###   kind.
> ### Aliases: Stirling2nd
> 
> ### ** Examples
> 
>   Stirling2nd(n=3,k=2)
[1] 3
>   # Expected value=3
>   Stirling2nd(n=300,k=20)
[1] NaN
>   # Expected value=NaN  
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>