drawHeatmap: Calculates and plots a heatmap of the "confusion matrix" M...

In cgvwzq/rlang-loophole: Manage traces, timeseries, and classification for timing data extracted with Loophole

Description

Calculates and plots a heatmap of the "confusion matrix" M for the given subset of pages. M[i,j] is the probability that a 1-NN classifier classifies a random query from class i as belonging to j, given our dataset.

Usage

drawHeatmap(filesPath, webpages = "all", showPercentages = F, P = 5,
  windowType = "sakoechiba", windowSize = 100, maxLength = 1000,
  sampFun = "sum", stepPattern = "symmetric1", pathOut,
  matrixFileName = "confusionMatrix", heatmapFileName = "heatmap")

Arguments

filesPath	Path containing the crossDistance matrices.
webpages	List of the pages you want to restrict the classifier to.
showPercentages	Logical. TRUE displays the value of M[i,j] in the corresponding cell. Defaults to FALSE.
P	Timeseries averaging parameter
pathOut	Path to save the confusion matrix and heatmap image.
matrixFileName	R object file containing the confusion matrix.
heatmapFileName	pdf file to save the heatmap to.
weight	Either 'none' (default) for simple majority vote, 'inverse' for 1/distance weighting.

cgvwzq/rlang-loophole documentation built on May 20, 2019, 5:10 p.m.