mask: masking data
In ElsevierSoftwareX/SOFTX-D-15-00040: density approximant

Description Usage Arguments Details Value Note Author(s) References Examples

mask the original data by noise

1	mask(y, noisefile, noise = createNoise(length(y)), a1 = min(y), b1 = max(y), maxorder = 100, EPS = 1e-06)

`y`	the original data
`noisefile`	a file containing the information of noise
`noise`	the noise used to mask data
`a1`	the a_basic mentioned in paper
`b1`	the b_basic mentioned in paper
`maxorder`	the maximum order of moments used in the density approximant
`EPS`	the criterion used in order selection

no details needed

`ystar`	masked data
`noisefile`	a file containing the information of noise

no further notes

Mark and Yan-Xia

no reference

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

y<-rnorm(100,0,1)
ymask<-mask(y, noisefile="noise.bin", noise=createNoise(length(y)), a1=min(y), 
     b1=max(y), maxorder=100, EPS=1e-06)
write(ymask$ystar, "ystar.dat")