This function plots multiple groundwater data time series by location, or constituent

Source: R/series_plot.R

This function plots multiple groundwater data time series by location, or constituent

series_plot(df, x = "sample_date", y = "analysis_result",
  facet_var = "location_id", group_var = "param_name",
  lt_measure = "lt_measure", scale_y_trans = "identity",
  trend = NULL, background = NULL, limit1 = NULL, limit2 = NULL,
  short_name = FALSE, pnt = 3, ncol = NULL)

Arguments

df

df groundwater data in tidy format
x

x column for x variable
y

y column for y variable
facet_var

column to facet wrap plots by, default is by location
group_var

column to group plots by, default is by constituent
lt_measure

column for non-detect symbol
scale_y_trans

type of transformation to use for y scale. Default is "identity". Built-in transformations include "asn", "atanh", "boxcox", "exp", "identity", "log", "log10", "log1p", "log2", "logit", "probability", "probit", "reciprocal", "reverse" and "sqrt".
trend

trend add trend line to time series plot
background

vector of dates for background start and end dates.
limit1

horizontal line 1
limit2

horizontal line 2
short_name

If TRUE, the constituent name will be abbreviated
pnt

size of points on time series plots
ncol

number of columns