Recognising Visual Charting Patterns in Time Series Data

Documentation for package ‘rpatrec’ version 0.9.1

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