trim_to_bin_width.Rd
Samples of eyetracking data are excluded so that the number of frames is evenly divisible by a given bin width. For example, given a bin width of 3 frames, a trial with 181 frames would lose 1 frame. The frames aligned so that a key time value have a specific position in a bin. For example, setting time 0 to position 1 will truncate the times so that time 0 will be the first frame inside of its bin.
trim_to_bin_width( data, bin_width = 3, key_time = NULL, key_position = 1, time_var, ..., min_time = NULL, max_time = NULL )
data | a dataframe of looking data |
---|---|
bin_width | the number of items to put in each bin. Default is 3. |
key_time, key_position | arguments controlling the trimming. The given
time value ( |
time_var | the name of the column representing time |
... | grouping variables |
min_time, max_time | optional arguments controlling the trimming. If
used, the time values are filtered to exclude whole bins of frames before
|
the original dataframe with its time column trimmed to make it easier
to bin time values into groups of bin_width
.
#> Error in data_frame(task = "testing", id = "test1", time = -4:6, frame = seq_along(time)): could not find function "data_frame"#> Error in data_frame(task = "testing", id = "test2", time = -5:5, frame = seq_along(time)): could not find function "data_frame"# Number of rows per id is divisible by bin width # and time 0 is center of its bin bind_rows(data1, data2) %>% trim_to_bin_width(3, key_time = 0, key_position = 2, time, id) %>% assign_bins(3, time, id) %>% group_by(id, .bin) %>% dplyr::mutate(center_time = median(time))#> Error in bind_rows(data1, data2): could not find function "bind_rows"# And exclude times in bins before some minimum time bind_rows(data1, data2) %>% trim_to_bin_width(3, key_time = 0, key_position = 2, time, id, min_time = -1) %>% assign_bins(3, time, id)#> Error in bind_rows(data1, data2): could not find function "bind_rows"# And exclude times in bins after some maximum time bind_rows(data1, data2) %>% trim_to_bin_width(3, key_time = 0, key_position = 2, time, id, min_time = -1, max_time = 4) %>% assign_bins(3, time, id)#> Error in bind_rows(data1, data2): could not find function "bind_rows"