Description Usage Arguments Details Value Note Author(s) See Also Examples
Create non-parametric survival or cumulative distribution graphs based on a data object in the cg package.
1 2 |
data |
A data object created using the cg
package. The only class of object currently
available is |
cgtheme |
When set to the default |
distfcn |
A |
ylab |
Specify a character value for the y-axis label. The default value is
|
title |
Specify a character value for the main title at the top of the
graph. The default value is
|
... |
Additional arguments, depending on the specific method written for
the object. Currently, there is only one such specific method; see
|
Color assignments of the graphed step functions lines for the groups
match the order of the group name factor levels. The color order is
given in cgLineColors
. The line widths are set to be
thicker (lwd=2
), and the group name label is placed near the line
using label
methodology from the Hmisc package.
The x-axis represents response values, and y-axis represents estimated probabilities. Minimum and maximum values from ranges of data are respectively labeled in the bottom left and right corners of graph regions.
The main purpose is the side effect of graphing to the current device. See the specific methods for discussion of any return values.
Contact cg@billpikounis.net for bug reports, questions, concerns, and comments.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | data(canine)
canine.data <- prepareCGOneFactorData(canine, format="groupcolumns",
analysisname="Canine",
endptname="Prostate Volume",
endptunits=expression(plain(cm)^3),
digits=1, logscale=TRUE, refgrp="CC")
kmGraph(canine.data, distfcn="cumulative")
kmGraph(canine.data, distfcn="cumulative",
ticklabels=list(mod="add", marks=c(2)))
## Censored Data
data(gmcsfcens)
gmcsfcens.data <- prepareCGOneFactorData(gmcsfcens, format="groupcolumns",
analysisname="cytokine",
endptname="GM-CSF (pg/ml)",
logscale=TRUE)
kmGraph(gmcsfcens.data, distfcn="cumulative")
kmGraph(gmcsfcens.data, distfcn="cumulative", logscale=FALSE)
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