difflog: Transforming time-series data to stationary
In AFR: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
difflog R Documentation
Transforming time-series data to stationary
Description
Difference of logarithms is finding the difference between two consecutive logarithm values of a time-series
Usage
difflog(x, lag = 1, difference = 1)
Arguments
x
time-series vector
lag
lagged period
difference
difference between x items
Examples
data (macroKZ)
new<-pct1(macroKZ)
AFR documentation built on Nov. 2, 2023, 6:09 p.m.
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| difflog | R Documentation |
Transforming time-series data to stationary
Description
Difference of logarithms is finding the difference between two consecutive logarithm values of a time-series
Usage
difflog(x, lag = 1, difference = 1)
Arguments
x |
time-series vector |
lag |
lagged period |
difference |
difference between x items |
Examples
data (macroKZ)
new<-pct1(macroKZ)
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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