Description Usage Arguments Details Value Acknowledgments Note Author(s) References
Function for plotting the crossvalidated peeling trajectories/profiles of a sbh
object.
Applies to the preselected covariates specified by user and
all other statistical quantities of interest at each iteration of the peeling sequence
(inner loop of our PRSP algorithm).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  plot_boxtraj(object,
main = NULL,
toplot = object$cvfit$cv.used,
col.cov,
lty.cov,
lwd.cov,
col = 1,
lty = 1,
lwd = 0.5,
cex = 0.5,
add.legend = FALSE,
text.legend = NULL,
nr = NULL,
nc = NULL,
device = NULL,
file = "Trajectory Plots",
path = getwd(),
horizontal = FALSE,
width = 8.5,
height = 11, ...)

object 
Object of class 
main 

toplot 

col.cov 

lty.cov 

lwd.cov 

col 

lty 

lwd 

cex 

add.legend 

text.legend 

nr 

nc 

device 
Graphic display device in {NULL, "PS", "PDF"}. Defaults to NULL (standard output screen). Currently implemented graphic display devices are "PS" (Postscript) or "PDF" (Portable Document Format). 
file 
File name for output graphic. Defaults to "Trajectory Plots". 
path 
Absolute path (without final (back)slash separator). Defaults to working directory path. 
horizontal 

width 

height 

... 
Generic arguments passed to other plotting functions. 
The plot limits the display of trajectories to those only covariates that are used for peeling.
The plot includes box descriptive statistics (such as support), survival endpoint statistics (such as Maximum EventFree Time (MEFT), Minimum EventFree Probability (MEVP), LHR, LRT) and prediction performance (such as CER).
Invisible. None. Displays the plot(s) on the specified device
.
This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University. This project was partially funded by the National Institutes of Health NIH  National Cancer Institute (R01CA160593) to JE. Dazard and J.S. Rao.
Enduser plotting function.
"JeanEudes Dazard, Ph.D." [email protected]
"Michael Choe, M.D." [email protected]
"Michael LeBlanc, Ph.D." [email protected]
"Alberto Santana, MBA." [email protected]
Maintainer: "JeanEudes Dazard, Ph.D." [email protected]
Dazard JE. and Rao J.S. (2017). "Variable Selection Strategies for HighDimensional Survival Bump Hunting using Recursive Peeling Methods." (in prep).
DiazPachon D.A., Dazard JE. and Rao J.S. (2017). "Unsupervised Bump Hunting Using Principal Components." In: Ahmed SE, editor. Big and Complex Data Analysis: Methodologies and Applications. Contributions to Statistics, vol. Edited Refereed Volume. Springer International Publishing, Cham Switzerland, p. 325345.
Yi C. and Huang J. (2016). "Semismooth Newton Coordinate Descent Algorithm for ElasticNet Penalized Huber Loss Regression and Quantile Regression." J. Comp Graph. Statistics, DOI: 10.1080/10618600.2016.1256816.
Dazard JE., Choe M., LeBlanc M. and Rao J.S. (2016). "Crossvalidation and Peeling Strategies for Survival Bump Hunting using Recursive Peeling Methods." Statistical Analysis and Data Mining, 9(1):1242.
Dazard JE., Choe M., LeBlanc M. and Rao J.S. (2015). "R package PRIMsrc: Bump Hunting by Patient Rule Induction Method for Survival, Regression and Classification." In JSM Proceedings, Statistical Programmers and Analysts Section. Seattle, WA, USA. American Statistical Association IMS  JSM, p. 650664.
Dazard JE., Choe M., LeBlanc M. and Rao J.S. (2014). "CrossValidation of Survival Bump Hunting by Recursive Peeling Methods." In JSM Proceedings, Survival Methods for Risk Estimation/Prediction Section. Boston, MA, USA. American Statistical Association IMS  JSM, p. 33663380.
Dazard JE. and J.S. Rao (2010). "Local Sparse Bump Hunting." J. Comp Graph. Statistics, 19(4):90092.
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