View source: R/plot.scatterPDFS.R
plot_scatterPDFs | R Documentation |
Plot the pdf optima and uncertainty ranges in a climate biplot
plot_scatterPDFs(
x,
climate = x$parameters$climate[1:2],
taxanames = x$input$taxa.name,
uncertainties = x$parameters$uncertainties,
xlim = range(x$modelling$climate_space[, climate[1]]),
ylim = range(x$modelling$climate_space[, climate[2]]),
add_modern = FALSE,
save = FALSE,
filename = "scatterPDFs.pdf",
width = 5.51,
height = 5.51,
as.png = FALSE,
png.res = 300
)
x |
A |
climate |
Names of the two climate variables to be used to generate the plot. By default plot. By default the first two variables are included. |
taxanames |
A list of taxa to use for the plot (default is all the recorded taxa). |
uncertainties |
A (vector of) threshold value(s) indicating the error bars that should be calculated (default are the values stored in x). |
xlim |
ylim The climate range to plot the data. Default is the full range of the observed climate space. |
ylim |
the y limits of the plot. |
add_modern |
A boolean to add the location and the modern climate values
to the plot (default |
save |
A boolean to indicate if the diagram should be saved as a pdf file.
Default is |
filename |
An absolute or relative path that indicates where the diagram
should be saved. Also used to specify the name of the file. Default:
the file is saved in the working directory under the name
|
width |
The width of the output file in inches (default 7.48in ~ 19cm). |
height |
The height of the output file in inches (default 3in ~ 7.6cm per variables). |
as.png |
A boolean to indicate if the output should be saved as a png.
Default is |
png.res |
The resolution of the png file (default 300 pixels per inch). |
A table with the climate tolerances of all the taxa
## Not run:
data(crest_ex_pse)
data(crest_ex_selection)
reconstr <- crest.get_modern_data(
pse = crest_ex_pse, taxaType = 0,
climate = c("bio1", "bio12"),
selectedTaxa = crest_ex_selection, dbname = "crest_example"
)
reconstr <- crest.calibrate(reconstr,
geoWeighting = TRUE, climateSpaceWeighting = TRUE,
bin_width = c(2, 20), shape = c("normal", "lognormal")
)
## End(Not run)
## example using pre-saved reconstruction obtained with the previous command.
data(reconstr)
dat <- plot_scatterPDFs(reconstr, save=FALSE,
taxanames=c(reconstr$inputs$taxa.name[c(2,4,5,1)]))
dat
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