# NDK_RMNA

 int __stdcall NDK_RMNA ( double * X, size_t * N )

Returns an array of cells of a time series after removing all missing values.

Returns
status code of the operation
Return values
 NDK_SUCCESS Operation successful NDK_FAILED Operation unsuccessful. See Macros for full list.
Parameters
 [in,out] X is the univariate sample data (a one dimensional array). [in,out] N is the number of observations in X.
Remarks
1. The time series is homogenous or equally spaced.
2. The function maintains the original time-order of the data set.
Requirements
Examples



 Namespace: NumXLAPI Class: SFSDK Scope: Public Lifetime: Static
 int NDK_RMNA ( double[] data, out UIntPtr nSize )

Returns an array of cells of a time series after removing all missing values.

Returns
status code of the operation
Return values
 NDK_SUCCESS Operation successful NDK_FAILED Operation unsuccessful. See Macros for full list.
Parameters
 [in,out] data is the univariate sample data (a one dimensional array). [in,out] nSize is the number of observations in data.
Remarks
1. The time series is homogenous or equally spaced.
2. The function maintains the original time-order of the data set.
Exceptions
Exception Type Condition
None N/A
Requirements
Namespace NumXLAPI SFSDK Public Static NumXLAPI.DLL
Examples

References
* Hamilton, J .D.; Time Series Analysis , Princeton University Press (1994), ISBN 0-691-04289-6
* Tsay, Ruey S.; Analysis of Financial Time Series John Wiley & SONS. (2005), ISBN 0-471-690740
* D. S.G. Pollock; Handbook of Time Series Analysis, Signal Processing, and Dynamics; Academic Press; Har/Cdr edition(Nov 17, 1999), ISBN: 125609906
* Box, Jenkins and Reisel; Time Series Analysis: Forecasting and Control; John Wiley & SONS.; 4th edition(Jun 30, 2008), ISBN: 470272848