plot.CCA.sol | R Documentation |
Plots the solution of a Canonical Correspondence Analysisis using similar parameters to the continuous biplot
## S3 method for class 'CCA.sol'
plot(x, A1 = 1, A2 = 2, ShowAxis = FALSE, margin = 0,
PlotSites = TRUE, PlotSpecies = TRUE, PlotEnv = TRUE,
LabelSites = TRUE, LabelSpecies = TRUE, LabelEnv =
TRUE, TypeSites = "wa", SpeciesQuality = FALSE,
MinQualityVars = 0.3, dp = 0, pr = 0, PlotAxis =
FALSE, TypeScale = "Complete", ValuesScale =
"Original", mode = "a", CexSites = NULL, CexSpecies =
NULL, CexVar = NULL, ColorSites = NULL, ColorSpecies =
NULL, ColorVar = NULL, PchSites = NULL, PchSpecies =
NULL, PchVar = NULL, SizeQualSites = FALSE,
SizeQualSpecies = FALSE, SizeQualVars = FALSE,
ColorQualSites = FALSE, ColorQualSpecies = FALSE,
ColorQualVars = FALSE, SmartLabels = FALSE, ...)
x |
The results of a CCA model |
A1 |
Dimension for the first axis |
A2 |
Dimension for the second axis |
ShowAxis |
Logical variable to control if the coordinate axes should appear in the plot. The default value is FALSE because for most of the biplots its presence is irrelevant. |
margin |
Margin for the labels in some of the biplot modes (percentage of the plot width). Default is 0. Increase the value if the labels are not completely plotted. |
PlotSites |
Should the sites be plotted? |
PlotSpecies |
Should the species be plotted? |
PlotEnv |
Should the environmental variables be plotted? |
LabelSites |
Labels for the sites |
LabelSpecies |
Labels for the species |
LabelEnv |
Labels for the environmental variables. |
TypeSites |
Type for the sites plot |
SpeciesQuality |
Quality for the species |
MinQualityVars |
Minimum quality to plot a variable |
dp |
A set of indices with the variables that will show the projections of the individuals. |
pr |
A set of indices with the individuals to show the projections on the variables. |
PlotAxis |
Should the axis be plotted? |
TypeScale |
Type of scale to use : "Complete", "StdDev" or "BoxPlot" |
ValuesScale |
Values to show on the scale: "Original" or "Transformed" |
mode |
Mode of the biplot: "p", "a", "b", "h", "ah" and "s". |
CexSites |
Size for the symbols and labels of the sites. Can be a single common size for all the points or a vector with individual sizes. |
CexSpecies |
Size for the symbols and labels of the species. Can be a single common size for all the points or a vector with individual sizes. |
CexVar |
Size for the symbols and labels of the variables. Can be a single common size for all the points or a vector with individual sizes. |
ColorSites |
Color for the symbols and labels of the sites. Can be a single common color for all the points or a vector with individual colors. |
ColorSpecies |
Color for the symbols and labels of the species. Can be a single common color for all the points or a vector with individual colors. |
ColorVar |
Color for the symbols and labels of the variables. Can be a single common color for all the points or a vector with individual colors. |
PchSites |
Symbol for the sites points. See |
PchSpecies |
Symbol for the species points. See |
PchVar |
Symbol for the variables points. See |
SizeQualSites |
Should the size of the site points be related to their qualities of representation (predictiveness)? |
SizeQualSpecies |
Should the size of the species points be related to their qualities of representation (predictiveness)? |
SizeQualVars |
Should the size of the variables points be related to their qualities of representation (predictiveness)? |
ColorQualSites |
Should the color of the sites points be related to their qualities of representation (predictiveness)? |
ColorQualSpecies |
Should the color of the species points be related to their qualities of representation (predictiveness)? |
ColorQualVars |
Should the color of the variables points be related to their qualities of representation (predictiveness)? |
SmartLabels |
Plot the labels in a smart way |
... |
Aditional graphical parameters. |
The plotting procedure is similar to the one used for continuous biplots including the calibration of the environmental variables.
No value returned
Jose Luis Vicente Villardon
CCA
plot.ContinuousBiplot
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