Master index | Index for src |
autoLabel | Samuel Rivera |
calc2Dist | Notes: calculates 2-norm distance from target vector to all query vectors |
calcAOIFixDensityDist | calculate fixation density at the AOIs |
calcAOIFixDistHistDist | Calculate fixation density for different distances from relevant AOIs |
calcAOIFixDurationDist | calculate fixation density at the AOIs |
calcAOIFixSequenceDist | calculate matrix representing the sequence of AOIs fixated |
calcAOISacDensityDist | calculate target saccade density |
calcAOISacSequenceDist | calculate matrix representing the sequence of AOIs saccaded to |
calcDistTraveled | calculate the total distance traveled by the eye |
calcIrrRelSeq | convert the fixation or saccade sequence to a representation in terms of relevant and irrelevant AOIs |
calcLatencyRelAOIFixDist | get latency until relevant AOI fixated |
calcLatencyRelAOISacDist | get latency until relevant AOI is saccade target |
calcPairwiseDistances | calculate the pairwise squared distance matrix (2-norm distance) |
codeFixationsDist | June 22, 2011 |
codeSaccadesDist | identify saccades |
combineBothEyes | combine gaze data from two eyes into one by averaging |
describeVariables | This function tells you which variables are best in an easy to understand format |
exportToTable | This function outputs variables in tab delimited file for further |
extractVarsDist | extract all variables from a cell of eye tracks |
filterEyeTrackInfant | Kalman filter missing data from eye track |
findRedundancies | finds redundant variables for easy removal |
findVarForBestIdx | This function tells you which variables are best in an easy to understand format |
getLeave1OutLabels | get a struct for specifying folds of leave one out cross validation |
kalmanMissingData | wrapper function for the kalman filter toolbox |
loadFromTable | Syntax: dataStruct = loadFromTable( tableFile ) |
mixRGBAndGray | returns an image which is a mixture of an RGB image and a grayscale image |
normc | Samuel Rivera |
repmatC | % A c version of repmat |
runLDALeave1Out | calculate leave 1 subject out accuracy for Bayes classifier with equal covariance |
runLRLeave1Out | calculate leave 1 subject out accuracy for L1 penalized logistic regression |
runSVMLeave1Out | calculate leave 1 subject out accuracy for linear SVM |
scaleEyeTrack | scale eye track from [0 1] to image size |
smoothTracks | Syntax: dataStruct = smoothTracks( dataStruct ) |
sortVariablesANOVA | anova ranking of variables |
sortVariablesLR | L1 penalized logistic regression ranking of variables |
sortVariablesNB | Naive bayes ranking of variables (using CV accuracy criterion) |
viewAOILandscape | A: image |
visualizeTrackDist | visualize the gaze data |