GeomFlatViolin
|
geom_flat_violin_HELPER2 |
baseline_data()
|
Baseline pupil data to the average pupil size within a window |
calculate_mean_pupil_size()
|
Calculate a mean size across two pupils over time |
calculate_missing_data()
|
Calculate the missing data amount |
clean_missing_data()
|
Clean missing data above an acceptable threshold |
create_difference_data()
|
Create a difference data frame when dealing with a condition column with 2 levels |
create_functional_data()
|
Makes a functional data with splines from a Pupil_difference_data dataframe. |
create_time_windows()
|
Make PupillometryR dataframe into multiple time windows for easy analysis |
create_window_data()
|
Make PupillometryR dataframe into a single collapsed window for easy analysis |
downsample_time_data()
|
Downsample frequency to reduce number of samples and data size |
filter_data()
|
Run a filter on the data to smooth it out. |
geom_flat_violin()
|
ggplot Flat Violin |
gfv_helper1
|
geom_flat_violin_HELPER1 |
interpolate_data()
|
Interpolate across the gaps in data |
make_pupillometryr_data()
|
Prepare data for pre-processing in PupillometryR |
mean2()
|
Helper function mean2 |
plot(<Pupil_difference_data>)
|
Pre-prepared plots of PupillometryR data |
plot(<Pupil_test_data>)
|
Pre-prepared plots of PupillometryR data |
plot(<Pupil_window_data>)
|
Pre-prepared plots of PupillometryR data |
plot(<PupillometryR>)
|
Pre-prepared plots of PupillometryR data |
pupil_data
|
Data collected in a pupillometry study by Sylvain Sirois |
regress_data()
|
Regress one pupil against another for extra smoothing |
replace_missing_data()
|
replaces missing observations if you have some degree of incomplete observations |
run_functional_t_test()
|
Run a functional t-test on a dataframe previously fitted with b-splines. |
subset_data()
|
Subset data to provide start and finish time windows |