MVar (version 2.2.5)

Scatter: Scatter plot.

Description

Performs the scatter plot.

Usage

Scatter(data, ellipse = TRUE, ellipse.level = 0.95, rectangle = FALSE,  
        title = NA, xlabel = NA, ylabel = NA,  posleg = 2, boxleg = TRUE, 
        axes = TRUE, size = 1.1, grid = TRUE, color = TRUE, linlab = NA,   
        class = NA, classcolor = NA, savptc = FALSE, width = 3236, 
        height = 2000, res = 300)

Value

Scatter plot.

Arguments

data

Data with x and y coordinates.

ellipse

Place an ellipse around the classes (default = TRUE).

ellipse.level

Significance level of the ellipse (defaul = 0.95).

rectangle

Place rectangle to differentiate classes (default = FALSE).

title

Titles of the graphics, if not set, assumes the default text.

xlabel

Names the X axis, if not set, assumes the default text.

ylabel

Names the Y axis, if not set, assumes the default text.

posleg

0 with no caption,
1 for caption in the left upper corner,
2 for caption in the right upper corner (default),
3 for caption in the right lower corner,
4 for caption in the left lower corner.

boxleg

Puts the frame in the caption (default = TRUE).

axes

Plots the X and Y axes (default = TRUE).

size

Size of the points in the graphs.

grid

Put grid on graphs (default = TRUE).

color

Colored graphics (default = TRUE).

linlab

Vector with the labels for the observations.

class

Vector with names of data classes.

classcolor

Vector with the colors of the classes.

savptc

Saves graphics images to files (default = FALSE).

width

Graphics images width when savptc = TRUE (defaul = 3236).

height

Graphics images height when savptc = TRUE (default = 2000).

res

Nominal resolution in ppi of the graphics images when savptc = TRUE (default = 300).

Author

Paulo Cesar Ossani

References

Rencher, A. C. Methods of multivariate analysis. 2th. ed. New York: J.Wiley, 2002. 708 p.

Anton, H.; Rorres, C. Elementary linear algebra: applications version. 10th ed. New Jersey: John Wiley & Sons, 2010. 768 p.

Examples

data(iris) # data set

data <- iris[,3:4]

cls <- iris[,5] # data class

Scatter(data, ellipse = TRUE, ellipse.level = 0.95, rectangle = FALSE,  
        title = NA, xlabel = NA, ylabel = NA,  posleg = 1, boxleg = FALSE, 
        axes = FALSE, size = 1.1, grid = TRUE, color = TRUE, linlab = NA, 
        class = cls, classcolor = c("goldenrod3","blue","red"),
        savptc = FALSE, width = 3236, height = 2000, res = 300)

Scatter(data, ellipse = FALSE, ellipse.level = 0.95, rectangle = TRUE,  
        title = NA, xlabel = NA, ylabel = NA,  posleg = 1, boxleg = TRUE, 
        axes = FALSE, size = 1.1, grid = TRUE, color = TRUE, linlab = NA, 
        class = cls, classcolor = c("goldenrod3","blue","red"),
        savptc = FALSE, width = 3236, height = 2000, res = 300)