| trend_plot | R Documentation | 
Function creates the cloride over time plot with trends.
trend_plot(
  qw_data,
  plot_title,
  y_label = NA,
  n_years = 10,
  POR_trend = TRUE,
  CharacteristicName = c("Chloride"),
  norm_range = c(230, 860),
  subtitle = "U.S. Geological Survey",
  include_table = TRUE
)
| qw_data | data frame returned from dataRetrieval::readWQPqw, must include columns ActivityStartDateTime, CharacteristicName, result_va | 
| plot_title | character title for plot | 
| y_label | character label for y axis. If left as NA, the function will attempt to use the "variableInfo" attribute of qw_data. This is attached to dataRetrieval output. | 
| n_years | integer. This is the number of years to calculate the trend on. Default is 10. This can be a vector of years. | 
| POR_trend | a logical indicating whether to include a trend test
for the full period of record. Default is  | 
| CharacteristicName | character CharacteristicName to plot | 
| norm_range | a numerical range to potentially group the data. If NA, no grouping is shown. | 
| subtitle | character. Sub-title for plot, default is "U.S. Geological Survey". | 
| include_table | logical whether or not to include the trend table in the upper left corner. | 
# site <- "263819081585801"
# parameterCd <- c("00095","90095","00940","99220")
# site_data <- dataRetrieval::readWQPqw(site, 
#                                        parameterCd)
# Using package example data:
qw_data <- L2701_example_data$QW
plot_title <- paste(attr(qw_data, "siteInfo")[["station_nm"]], ": Chloride")
trend_plot(qw_data, plot_title)
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