View source: R/frequency_analysis.R
| monthly_frequency_plot | R Documentation | 
This plot uses calculations from monthly_frequency_table. Daily, discrete,
or both types of data can be included.
monthly_frequency_plot(
  gw_level_dv,
  gwl_data,
  parameter_cd = NA,
  date_col = NA,
  value_col = NA,
  approved_col = NA,
  stat_cd = NA,
  plot_title = "",
  subtitle = "U.S. Geological Survey",
  plot_range = c("Past year"),
  y_axis_label = "",
  flip = FALSE,
  percentile_colors = NA,
  include_edges = FALSE,
  median_point_size = 2.5,
  data_point_size = 2.5
)
gw_level_dv | 
 data frame, daily groundwater level data. Often obtained
from   | 
gwl_data | 
 data frame returned from    | 
parameter_cd | 
 If data in gw_level_dv comes from NWIS, the parameter_cd
can be used to define the value_col. If the data doesn't come directly from
NWIS services, this can be set to   | 
date_col | 
 the name of the date column. The default is   | 
value_col | 
 the name of the value column. The default is   | 
approved_col | 
 the name of the column to get provisional/approved status.
The default is   | 
stat_cd | 
 If data in gw_level_dv comes from NWIS, the stat_cd can be used to help define the value_col.  | 
plot_title | 
 the title to use on the plot.  | 
subtitle | 
 character. Sub-title for plot, default is "U.S. Geological Survey".  | 
plot_range | 
 the time frame to use for the plot. Either "Past year" to use the last year of data, or "Calendar year" to use the current calendar year, beginning in January.  | 
y_axis_label | 
 the label used for the y-axis of the plot.  | 
flip | 
 logical. If   | 
percentile_colors | 
 Optional argument to provide a vector of 5 or 7 colors
used to fill the percentile bars in order from lowest percentile bin to the
highest percentile bin. Default behavior (  | 
include_edges | 
 Optional argument to toggle on the "edge bins" min-5 and 95-max on the plot. Default is FALSE which does not plot those bins.  | 
median_point_size | 
 Optional argument to specify the size of the median point markers which are shown as black triangles on the plot. The default size is 2.5.  | 
data_point_size | 
 Optional argument to specify the size of the data point markers which are shown as red diamonds on the plot. The default size is 2.5.  | 
a ggplot with rectangles representing the historical monthly percentile, black triangles representing the historical monthly median, and red diamonds showing the last year of groundwater level measurements.
# site <- "263819081585801"
p_code_dv <- "62610"
statCd <- "00001"
# gw_level_dv <- dataRetrieval::readNWISdv(site, p_code_dv, statCd = statCd)
gw_level_dv <- L2701_example_data$Daily
label <- dataRetrieval::readNWISpCode(p_code_dv)[["parameter_nm"]]
monthly_frequency <- monthly_frequency_plot(gw_level_dv,
                                            gwl_data = NULL,
                                            parameter_cd = "62610",
                                            plot_title = "L2701 Groundwater Level",
                                            y_axis_label = label,
                                            flip = FALSE)
monthly_frequency
gwl_data <- L2701_example_data$Discrete
monthly_frequency_plot(gw_level_dv,
                       gwl_data = gwl_data,
                       parameter_cd = "62610",
                       plot_title = "L2701 Groundwater Level",
                       y_axis_label = label,
                       flip = FALSE)
monthly_frequency_flip <- monthly_frequency_plot(gw_level_dv,
                                                 gwl_data,
                                                 parameter_cd = "62610",
                                                 y_axis_label = label,
                                                 plot_title = "L2701 Groundwater Level",
                                                 flip = TRUE)
monthly_frequency_flip
monthly_frequency_custom_colors <- monthly_frequency_plot(gw_level_dv,
                                                 gwl_data,
                                                 parameter_cd = "62610",
                                                 y_axis_label = label,
                                                 plot_title = "L2701 Groundwater Level",
                                                 flip = TRUE,
                                                 percentile_colors = c(
                                                     "red",
                                                     "yellow",
                                                     "green",
                                                     "blue",
                                                     "orange"
                                                 ))
                                                 
monthly_frequency_custom_colors
monthly_frequency_edge_bins <- monthly_frequency_plot(gw_level_dv,
                                                      gwl_data,
                                                      parameter_cd = "62610",
                                                      y_axis_label = label,
                                                      plot_title = "L2701 Groundwater Level",
                                                      flip = FALSE,
                                                      include_edges = TRUE)
monthly_frequency_edge_bins
monthly_frequency_custom_point_sizes <- monthly_frequency_plot(gw_level_dv,
                                                               gwl_data = gwl_data,
                                                               parameter_cd = "62610",
                                                               plot_title = "L2701 Groundwater Level",
                                                               y_axis_label = label,
                                                               median_point_size = 0.5,
                                                               data_point_size = 3)
monthly_frequency_custom_point_sizes 
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