complete_time: Complete time
In WillemSleegers/eyepatch:

Description Usage Arguments Details Examples

complete_time adds missing timestamps to a data frame.

1	complete_time(data, time, difference)

`data`	The data frame containing the timestamps.
`difference`	The supposed difference between two timestamps.
`timestamp`	The timestamp column in the data frame.

Completes a timestamp column by turning implicit missing values into explicit missing values, followed by a linear interpolation between missing values.

The data frame can be grouped using dplyr's group_by.

library(dplyr)

# Example 1: Simple data
df <- tibble(
  timestamp = 1:30,
  trial = rep(1:3, each = 10),
  event = rep(c(rep("baseline", 3), rep("event", 7)), times = 3)
)

# Remove some random observations, creating implicit missing values
set.seed(2020)
df <- slice_sample(df, n = 20) %>%
  arrange(trial, timestamp)

# Add missing rows
df <- complete_time(df, timestamp, difference = 1)

# Example 2: Realistic data
missing_complete <- complete_time(missing, timestamp, difference = 1000/60)