CircE.Plot: Circumplex Estimates Plot
In CircE: Circumplex models Estimation

Description Usage Arguments Author(s) See Also Examples

CircE.Plot produces the graphical representations of the estimated circular position of the variables and the Fourier correlation function. The function uses dev.new to create two different devices preserving an appropriate aspect ratio.

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CircE.Plot(object, pchar = NULL, bg.points = "red", ef = 0.4, big.points = 10, 
	   big.labels = 10, bg.plot = "gray80", col.axis = "black", color = "black", 
	   col.text = "white",twodim=TRUE,bound=TRUE,labels=TRUE,reverse=FALSE)

`object`	a circumplex model produced by `CircE.BFGS`.
`pchar`	plotting character, i.e., symbol to use. It can be either a single value or a vector of length equal to numbers of variables used in correlation matrix. For further details see `?par`.
`bg.points`	background color for the symbols selected with `pchar`. Either a single value or a vector of color.
`ef`	"explosion factor". It specifies the distances at which the name of the variables are drawn around the circumference. Default to 0.4 (if negative labels are drawn inside the circumference).
`big.points, big.labels`	numerical values giving the amount by which plotting labels and symbols should be magnified relative to the default (`cex` = 1/(number of observed variables)).
`bg.plot`	background color of the plot region.
`col.axis`	the color to be used for axis annotation, axis line and labels.
`color`	the color to be used for plot lines and symbols foreground.
`col.text`	the color to be used for plot texts.
`twodim`	logical. If `FALSE` (default), two reference axes are drawn.
`bound`	logical. If arguments `upper` and `lower` in `object` are not NULL, the bound lines are drawn on the circumference. Default is `TRUE`.
`labels`	logical. If `TRUE` (default), variable labels are reported in the plot.
`reverse`	logical. If `TRUE`, plot the figure using the 360-angular positions (just reversing the circular order).

Michele Grassi grassi.mic@gmail.com

See Also plot, points, par.

#______ Vocational Interests Scale: Sample Correlation Matrix. N=175 _____
 
R.vocational=matrix(c(
1,0,0,0,0,0,0,
0.654,1,0,0,0,0,0,
0.453,0.644,1,0,0,0,0,
0.251,0.440,0.757,1,0,0,0,
0.122,0.158,0.551,0.493,1,0,0,
0.218,0.210,0.570,0.463,0.754,1,0,
0.496,0.264,0.366,0.202,0.471,0.650,1
),7,7,byrow=TRUE)
R=R.vocational+t(R.vocational)-diag(diag(R.vocational))

v.names=c("Health","Science","Technology","Trades","Business Operations",
          "Business Contact","Social")
dimnames(R)=list(v.names,v.names)

## Not run: 

model=CircE.BFGS(R,v.names,m=3,N=175,r=1)

CircE.Plot(object=model, pchar = 24, bg.points = "transparent", ef = -0.4, 
           big.points = 15, big.labels=6, bg.plot = "white", col.axis = "black", 
           color = "black", col.text = "black",
           twodim=FALSE,bound=TRUE,labels=TRUE)
         
## End(Not run)




#______________ Block's correlation matrix. N=48 ________

data(Block)
block.names=colnames(Block)

## Not run: 

Block.m.1<-CircE.BFGS(R=Block,v.names=block.names,m=1,N=48,start.values="PFA")

CircE.Plot(object=Block.m.1, pchar = 24, bg.points = "gray", ef = -0.4, 
           big.points = 25, big.labels=15, bg.plot = "orange", col.axis = "blue", 
           color = "black", col.text = "red",
           twodim=FALSE,bound=TRUE,labels=TRUE)


CircE.Plot(object=Block.m.1, pchar = 21, bg.points = "red", ef = -0.4, 
           big.points = 25, big.labels=15, bg.plot = "white", col.axis = "black", 
           color = "black", col.text = "white",
           twodim=FALSE,bound=TRUE,labels=TRUE)


CircE.Plot(object=Block.m.1, pchar = 21, bg.points = "red", ef = -0.2, 
           big.points = 25, big.labels=15, bg.plot = "black", col.axis = "green", 
           color = "white", col.text = "yellow",
           twodim=FALSE,bound=TRUE,labels=TRUE)

## End(Not run)