Scilab Website | Contribute with GitLab | Mailing list archives | ATOMS toolboxes
Scilab Online Help
5.4.1 - Português

Change language to:
English - Français - 日本語 - Русский

Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function

Ajuda Scilab >> Estatística > Data with Missing Values > nancumsum

nancumsum

Thos function returns the cumulative sum of the values of a matrix

Calling Sequence

s = nancumsum(x,orient)

Arguments

x

x is a numerical vector or matrix.

orient

is an optional parameter. The possible values are '*', 1, 2, 'r' or 'c'.

s

numerical scalar or vector. It contains the cumulative sum of the values of x, ignoring the NAN's.

Description

This function returns in scalar or vector s the cumulative sum of the values (ignoring the NANs) of a vector or matrix (real or complex) x.

This function for a vector or a matrix x, s=nancumsum(x) (or, equivalently s=nancumsum(x,'*') returns in scalar s the cumulative sum (ignoring the NANs) of all the entries of x taken columnwise.

s=nancumsum(x,'r') (or, equivalently, s=nancumsum(x,1)) returns in the cols(x) sized vector s the cumulative sum (ignoring the NANs) of the rows of x: s(:,i)=nancumsum(x(:,i))

s=nancumsum(x,'c') (or, equivalently, s=nancumsum(x,2)) returns in the rows(x) sized vector s the cumulative sum (ignoring NANs) of the columns of x: s(i,:)=nancumsum(x(i,:))

For the last two cases, if a row or column is in whole composed of NAN, the corresponding place of s will contain a NAN.

Examples

a=[1 2 3;4 5 6]
s=nancumsum(a)
s=nancumsum(a,'r')
s=nancumsum(a,'c')

See Also

  • nansum — Sum of values ignoring NAN's
  • cumsum — soma cumulativa
Report an issue
<< Data with Missing Values Data with Missing Values nand2mean >>

Copyright (c) 2022-2024 (Dassault Systèmes)
Copyright (c) 2017-2022 (ESI Group)
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Tue Apr 02 17:37:05 CEST 2013