monitor_mutate: Apply a function to _mts_monitor_ time series

In AirMonitor: Air Quality Data Analysis

Apply a function to mts_monitor time series

Description

This function works similarly to dplyr::mutate() and applies FUN to each time series found in monitor$data. FUN must be a function that accepts a numeric vector as its first argument and returns a vector of the same length.

Usage

monitor_mutate(monitor = NULL, FUN = NULL, ...)

Arguments

monitor	mts_monitor object.
FUN	Function used to modify time series.
...	Additional arguments to be passed to FUN.

Value

A modified mts_monitor object. (A list with meta and data dataframes.)

Examples

library(AirMonitor)

Carmel_Valley %>%
  monitor_filterDatetime(2016080207, 2016080212) %>%
  monitor_toCSV(includeMeta = FALSE) %>%
  cat()

Carmel_Valley %>%
  monitor_filterDatetime(2016080207, 2016080212) %>%
  monitor_mutate(function(x) { return(x / 2) }) %>%
  monitor_toCSV(includeMeta = FALSE) %>%
  cat()

AirMonitor documentation built on June 8, 2025, 12:52 p.m.