Description Usage Arguments Value Examples

This allows running of a functional t-test for a given alpha on pupil data that has been fitted with b-splines. This is only appropriate for functional difference data, as it assumes we are dealing with condition A - condition B.

1 | ```
run_functional_t_test(data, pupil, alpha = 0.05)
``` |

`data` |
a Pupil_difference_data fitted with b-splines |

`pupil` |
column name indicating pupil data to test |

`alpha` |
an alpha level to be set for the t-test |

A Pupil_test_data dataframe

1 2 3 4 5 6 7 8 9 10 11 | ```
Sdata <- make_pupillometryr_data(data = pupil_data,
subject = ID,
trial = Trial,
time = Time,
condition = Type)
regressed_data <- regress_data(data = Sdata, pupil1 = RPupil, pupil2 = LPupil)
mean_data <- calculate_mean_pupil_size(data = regressed_data, pupil1 = RPupil, pupil2 = LPupil)
base_data <- baseline_data(data = mean_data, pupil = mean_pupil, start = 0, stop = 100)
differences <- create_difference_data(data = base_data, pupil = mean_pupil)
spline_data <- create_functional_data(data = differences, pupil = mean_pupil, basis = 10, order = 4)
ft_data <- run_functional_t_test(data = spline_data, pupil = mean_pupil, alpha = 0.05)
``` |

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