1. BiDimRegression::CarbonExample1Data
    Data from Carbon, C. C. (2013). BiDimRegression: Bidimensional Regression Modeling Using R. \ Journal of Statistical Software, Code Snippets, 52(1), 1-11 (URL http://www.jstatsoft.org/v52/c01/)\
    csv| xlsx| json| ndjson| rda| rds
    data.frame|36 x 4
  2. BiDimRegression::CarbonExample2Data
    Data from Carbon, C. C. (2013). BiDimRegression: Bidimensional Regression Modeling Using R. \ Journal of Statistical Software, Code Snippets, 52(1), 1-11 (URL http://www.jstatsoft.org/v52/c01/)\
    csv| xlsx| json| ndjson| rda| rds
    data.frame|13 x 4
  3. BiDimRegression::CarbonExample3Data
    Data from Carbon, C. C. (2013). BiDimRegression: Bidimensional Regression Modeling Using R. \ Journal of Statistical Software, Code Snippets, 52(1), 1-11 (URL http://www.jstatsoft.org/v52/c01/)\
    csv| xlsx| json| ndjson| rda| rds
    data.frame|10 x 4
  4. BiDimRegression::EyegazeData
    Eye gaze calibration data
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|365 x 6
  5. BiDimRegression::FriedmanKohlerData1
    Data from Friedman, A., & Kohler, B. (2003). Bidimensional regression: Assessing the configural similarity and accuracy of cognitive maps and other two-dimensional data sets. Psychological Methods, 8(4), 468-491.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|4 x 4
  6. BiDimRegression::FriedmanKohlerData2
    Data from Friedman, A., & Kohler, B. (2003). Bidimensional regression: Assessing the configural similarity and accuracy of cognitive maps and other two-dimensional data sets. Psychological Methods, 8(4), 468-491.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|4 x 4
  7. BiDimRegression::NakayaData
    Data from Nakaya, T. (1997). Statistical inferences in bidimensional regression models. Geographical Analysis, 29(2), 169-186.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|19 x 4
  8. bistablehistory::br
    Binocular rivalry data
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|3769 x 6
  9. bistablehistory::br_contrast
    Binocular rivalry, variable contrast
    csv| xlsx| json| ndjson| rda| rds
    grouped_df|4616 x 6
  10. bistablehistory::br_single_subject
    Single experimental session for binocular rivalry stimulus
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|642 x 6
  11. bistablehistory::br_singleblock
    Single run for binocular rivalry stimulus
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|76 x 6
  12. bistablehistory::kde
    Kinetic-depth effect data
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|38698 x 6
  13. bistablehistory::kde_two_observers
    Multirun data for two participants, kinetic-depth effect display
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|1186 x 5
  14. bistablehistory::nc
    Necker cube data
    csv| xlsx| json| ndjson| rda| rds
    tbl_df|3464 x 6
  15. eyelinkReader::gaze
    Imported example.edf, events and samples
    rda| rds
    eyelinkRecording
  16. saccadr::monocular_ten_trials
    A monocular multi-trial recording
    csv| xlsx| json| ndjson| rda| rds
    data.frame|14353 x 4
  17. saccadr::single_trial
    A single trial monocular samples recorded at 500 Hz.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|1006 x 2
  18. saccadr::single_trial_binocular
    A single trial binocular recording.
    csv| xlsx| json| ndjson| rda| rds
    data.frame|2000 x 6