The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Version 0.9 makes measurement quality visible in the analysis object. Calibration/validation error, successive-sample precision, effective sampling frequency, irregular sampling, and data loss can be summarized rather than hidden in preprocessing.
cal <- read.csv(system.file("extdata","calibration_targets_demo.csv", package="eyeprocess"))
m <- calibration_error_model(cal)
gaze_uncertainty_ellipse(m)
plot(m)
g <- read.csv(system.file("extdata","gaze_quality_demo.csv", package="eyeprocess"))
q <- gaze_data_quality_profile(g, valid="valid", by="person_id")
data_quality_reporting_table(q)propagate_calibration_uncertainty() and
probabilistic_aoi_assignment() propagate empirical
calibration error into AOI membership. These probabilities concern
spatial membership under the error model; they are not probabilities of
psychological attention.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.