ggplot2-wrapper to summarise and plot data (of rOstluft::format_rolf() format) for one diurnal time course-stat plotted as difference between weekdays - weekend

ggplot2-wrapper to summarise and plot data (of rOstluft::format_rolf() format) for one diurnal time course-stat plotted as difference between weekdays - weekend

Usage

ggdiurnal_weekend_diff(
  data,
  y = "value",
  nmin = 3,
  fun = list(middle = "mean"),
  expand_xscale = 0.025,
  ...
)

Arguments

data

a data.frame or tibble containing the data

y

a character string specifying the taget variable to be summarised, usually "value". outcomes of cut_timeseries_periodic().

nmin

numeric, minimum number of values for fun, if n < nmin: NA is returned

fun

function or list of functions for summary, can be named (then the outut stat is named after the function's name); Strings matching the regular expression /^percentile([0-9]){1,2}$/i are converted into the respective function. "percentile95" => function(x, ...) quantile(x, 95 / 100, ...)

expand_xscale

multiplicative range expansion factor

...

further arguments passed on to ggplot2::geom_line().

Value

ggplot2::ggplot() object

Examples

library(ggplot2)
fn <- rOstluft.data::f("Zch_Stampfenbachstrasse_2010-2014.csv")

data <-
  rOstluft::read_airmo_csv(fn) %>%
  dplyr::filter(parameter %in% c("NOx", "O3", "PM10")) %>%
  rOstluft::resample(new_interval = "h1")

ggdiurnal_weekend_diff(data)