| plot.smacof {smacof} | R Documentation | 
2D SMACOF plots
Description
These methods provide various 2D plots for SMACOF models.
Usage
## S3 method for class 'smacof'
plot(x, plot.type = "confplot", plot.dim = c(1,2), sphere = TRUE, 
                      bubscale = 1, col = 1, label.conf = list(label = TRUE, pos = 3, 
                      col = 1, cex = 0.8), hull.conf = list(hull = FALSE, col = 1, 
                      lwd = 1, ind = NULL), shepard.x = NULL, identify = FALSE, 
                      type = "p", pch = 20, cex = 0.5, asp = 1, main, xlab, ylab, 
                      xlim, ylim, col.hist = NULL, ...)
## S3 method for class 'smacofR'
plot(x, plot.type = "confplot", what = c("both", "columns", "rows"), 
                       plot.dim = c(1,2), col.rows = hcl(0), col.columns = hcl(240), 
                       label.conf.rows = list(label = TRUE, pos = 3, 
                       col = hcl(0, l = 50), cex = 0.8), 
                       label.conf.columns = list(label = TRUE, pos = 3, 
                       col = hcl(240, l = 50), cex = 0.8),  
                       shepard.x = NULL, col.dhat = NULL, type = "p", pch = 20,
                       cex = 0.5, asp = 1, main, xlab, ylab, xlim, ylim, ...)
## S3 method for class 'smacofID'
plot(x, plot.type = "confplot", plot.dim = c(1,2), bubscale = 1, 
                        col = 1, label.conf = list(label = TRUE, pos = 3, col = 1, 
                        cex = 0.8), identify = FALSE, type = "p", pch = 20,  cex = 0.5, 
                        asp = 1, plot.array, main, xlab, ylab, xlim, ylim, ...)
Arguments
| x | Object of class  | 
| plot.type | String indicating which type of plot to be produced:  | 
| plot.dim | Vector with dimensions to be plotted. | 
| main | Plot title. | 
| xlab | Label of x-axis. | 
| ylab | Label of y-axis. | 
| xlim | Scale x-axis. | 
| ylim | Scale y-axis. | 
| type | What type of plot should be drawn (see also  | 
| pch | Plot symbol. | 
| cex | Symbol size. | 
| asp | Aspect ratio. | 
| col | Point color. | 
| sphere | In case of spherical smacof, whether sphere should be plotted or not. | 
| bubscale | Scaling factor (size) for the bubble plot. | 
| label.conf | List with arguments for plotting the labels of the configurations in a configuration plot (logical value whether to plot labels or not, label position, label color). If  | 
| hull.conf | Option to add convex hulls to a configuration plot. Hull index needs to be provided. | 
| shepard.x | Shepard plot only: original data (e.g. correlation matrix) can be provided for plotting on x-axis. | 
| identify | If  | 
| what | For unfolding only: Whether row coordinates, column coordinates, or both should be plotted. | 
| col.rows | Row colors in unfolding configuration plot. | 
| col.columns | Column colors in unfolding configuration plot. | 
| col.dhat | Shepard plot only: color specification of the dhats. For row conditional transformations in unfolding a vector of the length of the number of rows should be specified. | 
| label.conf.rows | List with arguments for plotting the labels of the row configurations in an unfolding configuration plot (logical value whether to plot labels or not, label position, label color). | 
| label.conf.columns | List with arguments for plotting the labels of the columns configurations in an unfolding configuration plot (logical value whether to plot labels or not, label position, label color). | 
| col.hist | Color of the borders of the histogram. | 
| plot.array | Array arrangements of plots for individual difference models (see details). | 
| ... | Further plot arguments passed: see  | 
Details
mds() and smacofSym() create an object of class "smacof", unfolding(), prefscal(), and smacofRect() produce "smacofR", and smacofIndDiff() generates "smacofID".
Plot description:
- Configuration plot (plot.type = "confplot"): Plots the MDS configuration.
- Residual plot (plot.type = "resplot"): Plots the disparities (d-hats) distances against  
the fitted distances. 
- Shepard diagram (plot.type = "Shepard"): Diagram with the observed dissimilarities against the fitted distances including (isotonic) regression line.
- Stress decomposition plot (plot.type = "stressplot"): Plots the stress contribution in of each observation. Note that it rescales the stress-per-point (SPP) from the corresponding smacof function to percentages (sum is 100). The higher the contribution, the worse the fit. 
- Bubble plot (plot.type = "bubbleplot", not available for rectangular SMACOF): Combines the configuration plot with the point stress contribution. The larger the bubbles, the worse the fit. 
- Histogram (plot.type = "histogram": gives a weighted histogram of the dissimilarities. For optional arguments, see wtd.hist.
For smacofIndDiff() the residual plot, Shepard diagram, and stress plot are based on the sum of the residuals across individuals/ways. The configuration plot represents the group stimulus space (i.e., joint configuration). If plot.array is not specified, it produces a Shepard plot of the distances summed across subjects, if plot.array = 0 it produces a sqrt(nsubjects) times sqrt(nsubjects) array of graph panels, if plot.array = 3 it produces 3x3 arrays of graph panels, if plot.array = c(2, 3) it produces 2x3 arrays of graph panels, and if plot.array = c(3, 2, 5) produces 3x2 arrays of panels (only the first two values are used).
See Also
Examples
## 2D plots for simple MDS
data(trading)
res <- mds(trading)
plot(res, plot.type = "confplot")
plot(res, plot.type = "confplot", label.conf = list(pos = 5)) ## avoid overlapping labels
plot(res, plot.type = "Shepard")
plot(res, plot.type = "stressplot")
plot(res, plot.type = "resplot")
plot(res, plot.type = "bubbleplot")
plot(res, plot.type = "histogram")
## Add convex hulls to configuration plot
r <- cor(PVQ40, use = "pairwise.complete.obs")
diss <- sim2diss(r, method = "corr") 
res <- mds(delta = diss, type = "ordinal") 
codes <- substring(colnames(PVQ40), 1, 2)  ## supplementary variable
plot(res, hull.conf = list(hull = TRUE, ind = codes, col = "coral1", lwd = 2))
## Shepard plots
ekmanD <- sim2diss(ekman)
fit1 <- mds(ekmanD, type = "ordinal")
plot(fit1, plot.type = "Shepard")
plot(fit1, plot.type = "Shepard", shepard.x = ekman)  ## original data on x-axis
## Joint configuration plot and row/column stressplots for unfolding
data(breakfast)
res <- unfolding(breakfast)
plot(res, plot.type = "confplot")
plot(res, plot.type = "stressplot")