Created
September 26, 2022 16:01
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Time series with breaks
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| library(tidyverse) | |
| library(lubridate) | |
| df <- tibble( | |
| dist1 = sort(rnorm(100, 5, 2)), | |
| dist2 = sort(rnorm(100, 8, 3)), | |
| dist4 = sort(rnorm(100, 15, 1)), | |
| date = seq.Date(from = ymd("2022-01-01"), ymd("2022-04-10"), by = "day") | |
| ) | |
| df <- pivot_longer(df, cols = -date, names_to = "dist_name", values_to = "value") | |
| fancy_ts <- function(df, val, group) { | |
| labs <- df |> | |
| group_by({{group}}) |> | |
| summarize(breaks = max({{val}})) | |
| ggplot(df, | |
| aes( | |
| x = date, | |
| y = {{val}}, | |
| group = {{group}}, | |
| color = {{group}})) + | |
| geom_path() + | |
| scale_y_continuous(breaks = labs$breaks, minor_breaks = NULL) + | |
| theme_minimal() | |
| } |
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