Description Usage Arguments Details Value Author(s) References See Also Examples
Plot the cross-validation curve with its upper and lower standard deviation curves.
1 2 |
x |
fitted |
xlab |
what is on the X-axis,
|
trim |
logical; whether to use the trimmed result.
Default is |
... |
other graphical parameters. |
A cross-validation curve is produced.
No return value. Side effect is a base R plot.
Zhe Sun and Kun Chen
Lin, W., Shi, P., Peng, R. and Li, H. (2014) Variable selection in regression with compositional covariates, https://academic.oup.com/biomet/article/101/4/785/1775476. Biometrika 101 785-979.
cv.compCL
and compCL
,
and coef
and plot
methods
for "cv.compCL"
object.
1 2 3 4 5 6 7 8 9 | p = 30
n = 50
beta = c(1, -0.8, 0.6, 0, 0, -1.5, -0.5, 1.2)
beta = c(beta, rep(0, times = p - length(beta)))
Comp_data = comp_Model(n = n, p = p, intercept = FALSE)
cvm1 <- cv.compCL(y = Comp_data$y, Z = Comp_data$X.comp,
Zc = Comp_data$Zc, intercept = Comp_data$intercept)
plot(cvm1)
plot(cvm1, xlab = "-log")
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.