Plot.Blend {Blendstat} | R Documentation |
Plots of the results.
Description
Plots of the results of the joint analysis of the experiments.
Usage
Plot.Blend(BL, titles = c(NA,NA), posleg = 2, xlabel = NA,
ylabel = NA, boxleg = FALSE, color = TRUE, expcolor = NA,
casc = TRUE)
Arguments
BL |
Data of the Blend function. |
titles |
Titles for the plot of the effects of the concentrations and components. If it is not defined, it assumes the default text. |
posleg |
1 for caption in the left upper corner, |
xlabel |
Names the X axis, if not set, assumes the default text. |
ylabel |
Names the Y axis, if not set, assumes the default text. |
boxleg |
Puts frame on the caption (default = TRUE). |
color |
Colorful plots (default = TRUE). |
expcolor |
Vector with the colors of the experiments. |
casc |
Cascade effect in the presentation of the plots (default = TRUE). |
Value
Return several plots.
Author(s)
Marcelo Angelo Cirillo
Paulo Cesar Ossani
See Also
Examples
data(DataCD) # dataset
Exp <- DataCD[,2] # identification of the experiments
X <- DataCD[,3:6] # independent variables (components)
Y <- DataCD[,11] # dependent variable (response Bitterness)
# effects o the mixtures in the reference mixture
Effects <- rep(c(-0.1,0,0.1,0.2,0.3,0.4,0.5,0.6,0.7),4)
Conc <- as.matrix(DataCD[,7]) # covariable (process variable)
Res <- Blend(exp = Exp, X = X, Y = Y, conc = Conc, effects = Effects)
print("Predicted and observed values"); Res$MPred
print("Values predicted by components:"); Res$MCPred
print("Design of the experiments:"); Res$MExp
print("Estimates of the linear model parameters:"); Res$Theta
Tit <- c("Covariable (process variable)","Variable")
Xlab = "Effects" # label of the X axis
Ylab = "Predicted values" # label of the Y axis
Plot.Blend(Res, titles = Tit, posleg = 2, xlabel = Xlab,
ylabel = Ylab, boxleg = TRUE, color = TRUE,
expcolor = c("goldenrod3","gray53","red2", "blue2"),
casc = TRUE)
[Package Blendstat version 1.0.5 Index]