Recognising Visual Charting Patterns in Time Series Data


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Documentation for package ‘rpatrec’ version 0.9.1

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data Daily Closing Prices of major Stock Market Indices
generator Generate a time series containing a Visual Charting Pattern.
interpret Recognise patterns in Time Series Data
iq Inbuilt Recoqnition for 10 different financial markets patterns
kernel Perform Kernel Regression on Time Series Data
loess.rpatrec Uses the inbuilt function 'loess()' to smooth the data using local polynomial regression.
mav Compute the moving average, exponential average or running median.
noise Add noise to a time series
sample.pre Prepare Data for using with the other functions
savgolay Perform Savitzgy-Golay smoothing on Time Series Data
slicer Break time series data into smaller "windows" and pass them to the interpret() function
splines Uses the inbuilt function 'smooth.spline()' to smooth the data using splines.
test.smoother Test how well a smoother can filter noise from data