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Calculate Performance Statistics by Time and Day

Source: R/stats.R
lic_stats_time.Rd

Aggregates game results by hour of the day, day of the week, or both.

Usage

lic_stats_time(data, by = c("hour", "wday", "both"), tz = "UTC")

Arguments

data

Tidy game data containing created_at (POSIXct).

by

Aggregation breakdown: "hour" (0..23), "wday" (Mon..Sun), or "both". Default is "hour".

tz

Time zone string used for formatting hours and days (e.g. "UTC", "America/New_York", "Asia/Tokyo"). Default is "UTC".

Value

A tibble::tibble containing game counts, win rates, scores, and rating changes grouped by the chosen time unit.

Details

This is an offline data aggregation function (no API network request). Useful for detecting peak performance hours or tilt patterns.

Examples

sample_games <- tibble::tibble(
  created_at = as.POSIXct(
    c("2025-01-01 14:00:00", "2025-01-01 14:30:00", "2025-01-02 21:00:00"),
    tz = "UTC"
  ),
  user_result = c("win", "win", "loss"),
  user_rating_diff = c(10L, 8L, -9L)
)
lic_stats_time(sample_games, by = "hour")
#> # A tibble: 2 × 9
#>    hour     n  wins losses draws winrate score score_rate rating_diff_total
#>   <int> <int> <int>  <int> <int>   <dbl> <dbl>      <dbl>             <int>
#> 1    14     2     2      0     0       1     2          1                18
#> 2    21     1     0      1     0       0     0          0                -9