Biplot {MVar} | R Documentation |
Plots the Biplot graph.
Biplot(data, alpha = 0.5, title = NA, xlabel = NA, ylabel = NA, size = 1.1, grid = TRUE, color = TRUE, obs = TRUE, linlab = NA)
data |
Data for plotting. |
alpha |
Representativeness of the individuals (alpha), representativeness of the variables (1 - alpha), being 0.5 the default. |
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. |
size |
Size of the points in the graphs. |
grid |
Put grid on graphs (default = TRUE). |
color |
Colored graphics (default = TRUE). |
obs |
Adds the observations to the graph (default = TRUE). |
linlab |
Vector with the labels for the observations, if not set, assumes the default text. |
Biplot |
Biplot graph. |
Md |
Matrix eigenvalues. |
Mu |
Matrix U (eigenvectors). |
Mv |
Matrix V (eigenvectors). |
coorI |
Coordinates of the individuals. |
coorV |
Coordinates of the variables. |
pvar |
Proportion of the principal components. |
Paulo Cesar Ossani
Marcelo Angelo Cirillo
RENCHER, A. C. Methods of multivariate analysis. 2th. ed. New York: J.Wiley, 2002. 708 p.
data(DataQuan) # set of quantitative data data <- DataQuan[,2:ncol(DataQuan)] rownames(data) <- DataQuan[,1] Biplot(data) LinNames <- paste("C",1:nrow(data), sep="") Biplot(data, alpha = 0.6, title = "Biplot of data valuing individuals", xlabel = "X Axis", ylabel = "Y Axis", color = TRUE, obs = TRUE, linlab = LinNames) Biplot(data, alpha = 0.4, title = "Graph valuing the variables", xlabel = "", ylabel = "", color = FALSE, obs = FALSE)