plotTs: Time series plot

In wql: Exploring Water Quality Monitoring Data

Time series plot

Description

Creates line plot of vector or matrix time series, including any data surrounded by NAs as additional points.

Usage

plotTs(
  x,
  dot.size = 1,
  xlab = NULL,
  ylab = NULL,
  strip.labels = colnames(x),
  ...
)

Arguments

x	matrix or vector time series
dot.size	size of dots representing isolated data points
xlab	optional x-axis label
ylab	optional y-axis label
strip.labels	labels for individual time series plots
...	additional options

Details

The basic time series line plot ignores data points that are adjacent to missing data, i.e., not directly connected to other observations. This can lead to an uninformative plot when there are many missing data. If one includes both a point and line plot, the resulting graph can be cluttered and difficult to decipher. plotTs plots only isolated points as well as lines joining adjacent observations.

Options are passed to the underlying facet_wrap function in ggplot2. The main ones of interest are ncol for setting the number of plotting columns and scales = "free_y" for allowing the y scales of the different plots to be independent.

Value

A plot or plots and corresponding object of class “ggplot”.

Author(s)

Alan Jassby, James Cloern

See Also

plotTsAnom

Examples

# Chlorophyll at 4 stations in SF Bay
chl <- sfbayChla[, 1:4]
plotTs(chl, dot.size = 1.5, ylab = 'Chl-a', strip.labels = paste('Station',
  substring(colnames(chl), 2, 3)), ncol = 1, scales = "free_y")

wql documentation built on May 29, 2024, 6:32 a.m.