Plot estimated coefficients of the SPLS object
Plot estimated coefficients of the selected predictors in the SPLS object.
coefplot.spls( object, nwin=c(2,2),
xvar=c(1:length(object$A)), ylimit=NA )object |
A fitted SPLS object. |
nwin |
Vector of the number of rows and columns in a plotting area. Default is two rows and two columns, i.e., four plots. |
xvar |
Index of variables to be plotted among the set of the selected predictors. Default is to plot the coefficients of all the selected predictors. |
ylimit |
Range of the y axis (the coefficients) in the plot.
If |
This plot is useful for visualizing coefficient estimates of a variable for different responses. Hence, the function is applicable only with multivariate response SPLS.
NULL.
Dongjun Chung, Hyonho Chun, and Sunduz Keles.
Chun H and Keles S (2010), "Sparse partial least squares for simultaneous dimension reduction and variable selection", Journal of the Royal Statistical Society - Series B, Vol. 72, pp. 3–25.
ci.spls, and correct.spls and
plot.spls.
data(yeast) # SPLS with eta=0.7 & 8 hidden components f <- spls( yeast$x, yeast$y, K=8, eta=0.7 ) # Draw estimated coefficient plot of the first four variables # among the selected predictors coefplot.spls( f, xvar=c(1:4), nwin=c(2,2) )
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