Indoor Positioning Fingerprinting Toolset

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Documentation for package ‘ipft’ version 0.7.2

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ipfCluster Creates clusters using the specified method
ipfDistance Distance function
ipfEstimate Estimates the location of the test observations
ipfEstimateBeaconPositions Estimates the positions of the emitter beacons
ipfGroup Creates groups based on the specified parameters
ipfKnn Implements the k-nearest neighbors algorithm
ipfPlotEcdf Plots the cumulative distribution function of the estimated error
ipfPlotEstimation Plots the estimated locations
ipfPlotLocation Plots the spatial location of the observations
ipfPlotPdf Plots the probability density function of the estimated error
ipfProbabilistic This function implements a probabilistic algorithm
ipfProximity Estimates the position of the observations from its fingerprints and the access point location usins a logarithmic path loss model
ipfpwap Indoor localization data set with the positions of the wireless access points present in the ipftrain and ipftest data sets. Unknown locations are stored as NAs. Data from the positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016).
ipfRMID Estimates the inherent difficulty of the radio map
ipftest Indoor localization test data set to test Indoor Positioning System that rely on WLAN/WiFifingerprint. It was created during the Fingerprinting-based Indoor Positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016).
ipftrain Indoor localization training data set to test Indoor Positioning System that rely on WLAN/WiFifingerprint. It was created during the Fingerprinting-based Indoor Positioning tutorial of the seventh international conference on indoor Positioning and Indoor Navigation (IPIN2016).
ipfTransform Transform function