# CheckNonNumeric: Detecting Non-numeric Values. In KoulMde: Koul's Minimum Distance Estimation in Regression and Image Segmentation Problems

## Description

Check whether or not an input matrix includes any non-numeric values (NA, NULL, "", character, etc) before being used for training. If any non-numeric values exist, then TrainBuddle() or FetchBuddle() will return non-numeric results.

## Usage

 `1` ```CheckNonNumeric(X) ```

## Arguments

 `X` an n-by-p matrix.

## Value

A list of (n+1) values where n is the number of non-numeric values. The first element of the list is n, and all other elements are entries of X where non-numeric values occur. For example, when the (1,1)th and the (2,3)th entries of a 5-by-5 matrix X are non-numeric, then the list returned by CheckNonNumeric() will contain 2, (1,1), and (2,3).

## Examples

 ```1 2 3 4 5 6 7 8 9``` ```n = 5; p = 5; X = matrix(0, n, p) #### Generate a 5-by-5 matrix which includes two NA's. X[1,1] = NA X[2,3] = NA lst = CheckNonNumeric(X) lst ```

KoulMde documentation built on Jan. 13, 2021, 3:01 p.m.