exponentialSmoothing: Using exponential smoothing method to profile stock data
In UBC-MDS/stockAnalyzer: Provide Basic Time Series Modelling Functionalities to Analyze Historical Stock Prices
Description
Usage
Arguments
Value
Examples
View source: R/stockAnalyzer.R
Description
Using exponential smoothing method to profile stock data
Usage
1
exponentialSmoothing(data, newColname, alpha = 0.3)
Arguments
data
xts a time series object
newColname
character
alpha
numeric
Value
xts
Examples
1
2
3
4
5
options("getSymbols.warning4.0"=FALSE)
quantmod::getSymbols("AAPL")
exp_smoothing_AAPL <- exponentialSmoothing(
AAPL,paste("expsmoothing", colnames(AAPL), sep="_") , 0.3
)
UBC-MDS/stockAnalyzer documentation built on March 21, 2021, 7:14 p.m.
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Description Usage Arguments Value Examples
View source: R/stockAnalyzer.R
Description
Using exponential smoothing method to profile stock data
Usage
1 | exponentialSmoothing(data, newColname, alpha = 0.3)
|
Arguments
data |
xts a time series object |
newColname |
character |
alpha |
numeric |
Value
xts
Examples
1 2 3 4 5 | options("getSymbols.warning4.0"=FALSE)
quantmod::getSymbols("AAPL")
exp_smoothing_AAPL <- exponentialSmoothing(
AAPL,paste("expsmoothing", colnames(AAPL), sep="_") , 0.3
)
|
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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