[mlpack-git] [mlpack/mlpack] Descriptive Statistics command-line program (#742)

[Tham]

> +
> +      // Print statistics of the row i.
> +      Log::Info << boost::format(numberFormat)
> +          % i
> +          % arma::var(row, population)
> +          % rowMean
> +          % rowStd
> +          % arma::median(row)
> +          % rowMin
> +          % rowMax
> +          % (rowMax - rowMin) // range
> +          % Skewness(row, rowStd, rowMean, population)
> +          % Kurtosis(row, rowStd, rowMean, population)
> +          % StandardError(row, rowStd) << endl;
> +    }
> +  }

We can reduce some duplicate codes

```
auto printStatResults = [&](int dim)
{
    arma::rowvec row = data.row(dim);
    double rowMax = arma::max(row);
    double rowMin = arma::min(row);
    double rowMean = arma::mean(row);
    double rowStd = arma::stddev(row, population);

    // Print statistics of the given dimension.
    Log::Info << boost::format(numberFormat)
        % dim
        % arma::var(row, population)
        % rowMean
        % rowStd
        % arma::median(row)
        % rowMin
        % rowMax
        % (rowMax - rowMin) // range
        % Skewness(row, rowStd, rowMean, population)
        % Kurtosis(row, rowStd, rowMean, population)
% StandardError(row, rowStd) << endl;
};

if(CLI::HasParam("dimension")){
    printStatResults(dimension);
}else{
    for(size_t i = 0; i < data.n_rows; ++i){
	    printStatResults(i);
	}
}
```

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