make_overall_plot: CES overall plot
In gronert-m/sciCoverageR: Set of SCIF coverage survey functions

A function to make the overrall plot for dashboards with the make_overall_plot_df output.

make_overall_plot(
  overall_plot_df,
  target = 0.75,
  target_text = "WHO\nminimum target",
  theme_object = NA,
  y_axis_label_reach = "Programme Reach & 95% CI (in %)\n",
  y_axis_label_coverage = "Survey Coverage & 95% CI (in %)\n",
  x_axis_label = "\nImplementation Unit",
  survey_point_shape = 16,
  survey_point_size = 4,
  reported_point_shape = 42,
  reported_point_size = 9,
  reported_text = "Reported coverage"
)

`overall_plot_df`	Output from the `make_overall_plot_df`
`target`	A numeric value between 0 and 1 to set the WHO target coverage. Default is 0.75.
`target_text`	A string denoting the text that describes the target. Default is `WHO\nminimun target`. Note the `\n` serves to make a new line in the legend text (see output).
`theme_object`	A ggplot theme object (e.g. theme_classic()) for the plots. Defaults is NA. In that case, the function calls `make_sci_theme()` to create the default theme. See that function for theme details.
`y_axis_label_reach`	Y axis label for programme reach. Default is `Programme Reach & 95% CI (in %)\n`. Note the `\n` is included to create a blank line underneath to make space. Same for other axis labels.
`y_axis_label_coverage`	Y axis label for survey coverage. Default is `Survey Coverage & 95% CI (in %)\n`.
`x_axis_label`	X axis label denoting the partitions. Default is `Implementation Unit`
`survey_point_shape`	Shape of the survey data point. Default is a filled dot (16).
`survey_point_size`	Size of the survey data point. Default is 4.
`reported_point_shape`	Shape of the reported coverage data point. Default is a 5 arms star (42).
`reported_point_size`	Size of the reported coverage data point. Default is 9.
`reported_text`	String describing the dots for reported coverage. Default is English: `Reported coverage`.

A list of plots. Run names(make_overall_plot output) to see them. Call them individually by using {make_overall_plot output}[[{name of the particular plot}]].

gronert-m/sciCoverageR documentation built on Nov. 23, 2020, 10:33 p.m.