Blendstat (version 1.0.4)

Plot.Blend: 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)

Value

Return several plots.

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,
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.

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).

Author

Marcelo Angelo Cirillo

Paulo Cesar Ossani

See Also

Blend

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)