Creates a plot with two bar graphs. One shows the absolute number of duplicate records for each
data source
while the other shows the proportion of records that are duplicated within each data source.
This function requires a dataset that has been run through dupeSummary().
Arguments
- data
A data frame or tibble. Occurrence records as input.
- outPath
Character. The path to a directory (folder) in which the output should be saved.
- fileName
Character. The name of the output file, ending in '.pdf'.
- legend.position.inside
The position of the legend as coordinates. Default = c(0.85, 0.8).
- base_height
Numeric. The height of the plot in inches. Default = 7.
- base_width
Numeric. The width of the plot in inches. Default = 7.
- ...
Other arguments to be used to change factor levels of data sources.
- dupeColours
A vector of colours for the levels duplicate, kept duplicate, and unique. Default = c("#F2D2A2","#B9D6BC", "#349B90").
- returnPlot
Logical. If TRUE, return the plot to the environment. Default = FALSE.
Examples
# This example will show a warning for the factor levels taht are not present in the specific
# test dataset
dupePlotR(
data = beesFlagged,
# The outPath to save the plot as
# Should be something like: #paste0(OutPath_Figures, "/duplicatePlot_TEST.pdf"),
outPath = tempdir(),
fileName = "duplicatePlot_TEST.pdf",
# Colours in order: duplicate, kept duplicate, unique
dupeColours = c("#F2D2A2","#B9D6BC", "#349B90"),
# Plot size and height
base_height = 7, base_width = 7,
legend.position.inside = c(0.85, 0.8),
# Extra variables can be fed into forcats::fct_recode() to change names on plot
GBIF = "GBIF", SCAN = "SCAN", iDigBio = "iDigBio", USGS = "USGS", ALA = "ALA",
ASP = "ASP", CAES = "CAES", 'B. Mont.' = "BMont", 'B. Minckley' = "BMin", Ecd = "Ecd",
Gaiarsa = "Gai", EPEL = "EPEL", Lic = "Lic", Bal = "Bal", Arm = "Arm"
)
#> Loading required namespace: forcats
#> Loading required namespace: cowplot
#> Warning: Unknown levels in `f`: CAES, BMont, BMin, Ecd, Gai, EPEL, Lic, Bal, Arm