Description Usage Arguments Details Value Note Author(s) Examples
Create a non-parametric survival or cumulative distribution graph
of groups of data in a cgOneFactorData
object.
1 2 3 |
data |
A |
cgtheme |
A |
distfcn |
A |
ylab |
Optional, a |
title |
Optional, a |
... |
Additional arguments. One is currently valid:
|
Graph the estimated survival function or cumulative distribution for
each group in a
cgOneFactorData
object. For censored data, Kaplan-Meier estimates
are used. For uncensored data, the conventional step function empirical
estimates are used.
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 label for the x-axis is taken from the cgOneFactorData
object,
which prepareCGOneFactorData
sets from its
endptname
and endptunits
arguments.
The number of decimal places printed in the ticks on the x-axis is taken
from the cgOneFactorData
object,
which prepareCGOneFactorData
sets from its digits
argument.
kmGraph.cgOneFactorFit
returns
an invisible NULL
. The main purpose is the side
effect of graphing to the current device.
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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