plot_inventory_data: Produce an bar chart of frequencies of missing data

In IDEMSInternational/cdms.products: Tool for the Analysis of Historical Climatic Data

Produce an bar chart of frequencies of missing data

Description

Returns a bar chart using ggplot2 that displays the frequency of missing data for each element and station given. Takes a data frame as an input and the relevant columns to create the plot.

Usage

plot_inventory_data(
  data,
  elements,
  station = NULL,
  y = c("count", "percentage"),
  columns = c("elements", "stations"),
  fill = c("none", "stations", "elements"),
  facet_by = c("stations", "elements", "none"),
  display_perc = FALSE,
  display_count = FALSE,
  title = "Inventory Plot",
  x_title = NULL,
  y_title = NULL,
  coord_flip = FALSE
)

Arguments

data	The data.frame to calculate from
elements	The name of the columns in data to apply the summary calculation to.
station	The name of the station column in data, if the data are for multiple station. The summary table is calculated separately for each station.
y	Whether to display counts or percentages.
columns	Whether to display stations or elements on the columns.
fill	Whether to fill by stations, elements, or neither.
facet_by	Whether to facet by stations, elements, or neither
display_perc	logical. Whether to display percentage values on the plot.
display_count	logical. Whether to display the count values on the plot.
title	The text for the title.
x_title	The text for the x-axis.
y_title	The text for the y-axis.
coord_flip	logical. Whether to switch the x and y axes.

Value

A plot of type ggplot to the default plot device

Examples

data(daily_niger) 
plot_inventory_data(data = daily_niger, station = "station_name",
                    elements = c("tmin", "tmax"),
                    columns = "stations", facet_by = "elements")
                    
# can omit station argument
plot_inventory_data(data = daily_niger, 
                    elements = c("tmin", "tmax"))

# can view percentage instead
plot_inventory_data(data = daily_niger, y = "percentage",
                    elements = c("tmin", "tmax"), display_perc = TRUE,
                    display_count = TRUE)

IDEMSInternational/cdms.products documentation built on July 7, 2023, 10:13 a.m.