LoessPlot

LoessPlot[data]

plots the data with a loess fit.

Details
Details and Options Details and Options
QMRITOOLS SYMBOL
QMRITools`
QMRITools`

LoessPlot

LoessPlot[data]

plots the data with a loess fit.

Details

  • The following options can be given:
  • BandwidthScaled[0.5]Bandwidth is an option for LoessPlot. It specifies the bandwidth of the loess fit. Its a number between 0 and 1 and specifies which % of the data to include for the local regression.
    FitOrder2FitOrder is an option for HomogenizeData. It specifies the order of harmonics to be used for the homogenization.
    FitKernel"Tricube"FitKernel is an option for LoessPlot. It specifies the kernel used for the loess fit. Can be "Triangular" or "Gaussian".
    ConfidenceLevel0.95ConfidenceLevel is an option for LinearModelFit and other fitting functions that specifies the level to use in various confidence and prediction intervals and bands.
    MaxPlotPoints100MaxPlotPoints is an option for plotting functions like ArrayPlot and ListPlot3D that specifies the maximum number of points that will explicitly be included in the output.
    PlotStyle{}PlotStyle is an option for plotting and related functions that specifies styles in which objects are to be drawn.
    PlotRangeAllPlotRange is an option for graphics functions that specifies what range of coordinates to include in a plot.
    PredictionIntervalTruePredictionInterval is an option for LoessPlot. It specifies the prediction interval of the loess fit. If True it uses the prediction confidence bands if False it uses the standard error of the local mean.
    PerformanceGoal"Quality"PerformanceGoal is an option for various algorithmic and presentational functions that specifies what aspect of performance to try to optimize with Automatic settings for options.
    Method"LocalModelFit"Method is an option for various algorithm-intensive functions that specifies what internal methods they should use.