imp_small_gaps_WMA: Completing small gaps that their sizes belong to...
In FSMUMI: Imputation of Time Series Based on Fuzzy Logic
Description
Usage
Arguments
Value
Author(s)
View source: R/Imputing_small_gaps.R
Description
Imputing small gaps using weighted moving average.
Usage
1
imp_small_gaps_WMA(signal, posMA, pMA, store_w, lag)
Arguments
posMA
position of the begining of small gaps
pMA
position of all corresponding values of small gaps
store_w
list storing index and size of gaps
lag
lag of the weighted moving average function
Data
multivariate data
univariate
signal
Value
returns a vector of imputed values
Author(s)
Thi-Thu-Hong Phan, Andre Bigand, Emilie Poisson-Caillault
FSMUMI documentation built on May 2, 2019, 12:40 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
View source: R/Imputing_small_gaps.R
Description
Imputing small gaps using weighted moving average.
Usage
1 | imp_small_gaps_WMA(signal, posMA, pMA, store_w, lag)
|
Arguments
posMA |
position of the begining of small gaps |
pMA |
position of all corresponding values of small gaps |
store_w |
list storing index and size of gaps |
lag |
lag of the weighted moving average function |
Data |
multivariate data |
univariate |
signal |
Value
returns a vector of imputed values
Author(s)
Thi-Thu-Hong Phan, Andre Bigand, Emilie Poisson-Caillault
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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