Plot.CA {MVar} | R Documentation |
Graphs of the simple (CA) and multiple correspondence analysis (MCA).
Plot.CA(CA, titles = NA, xlabel = NA, ylabel = NA, size = 1.1, grid = TRUE, color = TRUE, linlab = NA, casc = TRUE)
CA |
Data of the CA function. |
titles |
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). |
linlab |
Vector with the labels for the observations. |
casc |
Cascade effect in the presentation of the graphics (default = TRUE). |
Returns several graphs.
Paulo Cesar Ossani
Marcelo Angelo Cirillo
data(DataFreq) # frequency data set Data <- DataFreq[,2:ncol(DataFreq)] rownames(Data) <- DataFreq[1:nrow(DataFreq),1] Resp <- CA(Data, "f") # performs CA Tit = c("Scree-plot","Observations", "Variables", "Observations / Variables") Plot.CA(Resp, titles = Tit, xlabel = NA, ylabel = NA, color = TRUE, linlab = rownames(Data), casc = FALSE) data(DataQuali) # qualitative data set Data <- DataQuali[,2:ncol(DataQuali)] Resp <- CA(Data, "c", "b") # performs CA Tit = c("","","Graph of the variables") Plot.CA(Resp, titles = Tit, xlabel = NA, ylabel = NA, color = TRUE, linlab = NA, casc = FALSE)