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# dim_rmvmed_n_Wrap

Calculates and removes the median of the given dimensions at all other dimensions and retains metadata.

Available in version 5.1.1 and later.

## Prototype

```load "\$NCARG_ROOT/lib/ncarg/nclscripts/csm/contributed.ncl"

function dim_rmvmed_n_Wrap (
x        : numeric,
dims [*] : integer
)

return_val [dimsizes(x)] :  float or double
```

## Arguments

x

A variable of numeric type and any dimensionality.

dims

The dimension(s) of x on which to calculate and remove the median. Must be consecutive and monotonically increasing.

## Return value

The output is of type double if the input is double, and float otherwise.

The dimensionality is the same as the input dimensionality.

## Description

The dim_rmvmed_n_Wrap function calculates and removes the median from all elements of the dimensions indicated by dims for each index of the remaining dimensions and retains metadata. A wrapper function. Missing values are ignored.

## Examples

Example 1:

Let x be a 1-dimensional array: (a) Create a new variable, xNew, that contains just the deviations from the median; (b) replace the variable x with the deviations.

```  xNew = dim_rmvmed_n_Wrap(x,0)      ; new variable
x    = dim_rmvmed_n_Wrap(x,0)      ; overwrite with deviations
```
Example 2:

Let x be a 3-dimensional array with dimension sizes (ntim, nlat, nlon). To remove the median of the "nlon" dimension:

```   xRmvLon = dim_rmvmed_n (x,2)         ; new variable containing deviations (no metadata)
xRmvLon = dim_rmvmed_n_Wrap(x,2)     ; with metadata
x       = dim_rmvmed_n (x,2)         ; overwrite with deviations
```
Note: when operating across the rightmost dimension, it is simpler to use dim_rmvmed_Wrap.

Example 3:

Let x be a 3-dimensional array with named dimensions (time, lat, lon) and dimension sizes (ntim, nlat, nlon). Remove the median of the time dimension from all lat/lon indices:

```   xRmvTime = dim_rmvmed_n(x,0)
xRmvTime = dim_rmvmed_n_Wrap(x,0)
```
Example 4:

Let x be a 3-dimensional array with named dimensions (time, level, lat, lon) and dimension sizes (ntim, nlev, nlat, nlon). Remove the median of the lat/lon dimension at all time/lev indices:

```   xRmv = dim_rmvmed_n(x,(/2,3/)/)
xRmv = dim_rmvmed_n_Wrap(x,(/2,3/))
```
Example 5:

Let x be as in Example 3 and let x contain monthly means for (say) 10 years of data (ntim=120). Monthly anomalies for each month could be calculated using array subscripting:

```   xRmvJan  = dim_rmvmed_n_Wrap(x(0:ntim-1:12,:,:),0)
xRmvJuly = dim_rmvmed_n_Wrap(x(6:ntim-1:12,:,:),0)
```