dim_min

Finds the minimum of a variable's rightmost dimension at all other dimensions.

Prototype

	function dim_min (
		x  : numeric   
	)

	return_val  :  typeof(x)

Arguments

A variable of numeric type and any dimensionality.

Return value

The output dimensionality is the same as the first n-2 dimensions of the input variable. That is, the dimension rank of the input variable will be reduced by one.

Description

The dim_min function determines the minimum of all elements of the n-1th (rightmost) dimension for each index of the dimensions 0...n-2. Missing values are ignored.

Use dim_min_n if you want to specify which dimension(s) to do the minimum across.

See Also

min, max, dim_max, dim_min_n, dim_avg, dim_median, dim_num, dim_product, dim_rmsd, dim_rmvmean, dim_rmvmed, dim_standardize, dim_stat4, dim_stddev, dim_sum, dim_variance, copy_VarMeta

Examples

Example 1

Create a variable (q) of size (3,5,10) array. Then determine the minimum of the rightmost dimension.

    q    = random_uniform(-20,100,(/3,5,10/))
    qmin = dim_min(q)   ;==>  qmin(3,5)

Let x be of size (ntim,nlat,mlon) and with named dimensions "time", "lat" and "lon", respectively. Then, for each time and latitude, the minimum longitude value may be obtained via:

    xMinLon = dim_min( x )    ; ==> xMinLon(ntim,nlat)

Let x be defined as in Example 2: x(time,lat,lon). Determine the minimum value over all time at each latitude/longitude grid point. Use NCL's Named Subscripting to reorder the input array such that "time" is the rightmost dimension.

Note: in V5.1.1, you will be able to use dim_min_n to avoid having to reorder your data.

    xMinTime = dim_min( x(lat|:, lon|:, time|:) )    ; ==> xMinTime(nlat,nlon)

    xMinTime = dim_min_n( x, 0 )                     ; no reordering needed