Description Usage Arguments Note Author(s) See Also Examples
cox.optimized4 help get survival significant markers based on KM-Curve data
1 2 3 4 5 6 7 8 9 10 | cox.optimized4(expr.matrix,
design,
time.col,
status.col,
strategy = c("median","maxstat")[1],
smethod="LogRank",
pmethod="HL",
cutoff.p = 0.05,
digits = 5,
parallel = F)
|
expr.matrix |
expression matrix |
design |
design object |
time.col |
colname of time value |
status.col |
colname of status value |
strategy |
one of "median" and "maxstat" |
smethod |
Default is "LogRank" |
pmethod |
Default is "HL" |
cutoff.p |
p value cut-off |
digits |
digits of result |
parallel |
whether to use parallel strategy when strategy is median.Note that the parallel would always be applied with maxstat method |
the maxstat function depends on maxstat package.Parameters like smethod and pmethod are belongs to maxstat function.
Weibin Huang<654751191@qq.com>
maxstat::maxstat.test
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## This is a simulative process and NOT RUN
cox.optimized4(expr.matrix,
design,
time.col,
status.col,
strategy = "median",
cutoff.p = 0.05,
digits = 5,
parallel = T)
## This is a simulative process and NOT RUN
cox.optimized4(expr.matrix,
design,
time.col,
status.col,
strategy = "maxstat",
smethod="LogRank",
pmethod="HL",
cutoff.p = 0.05,
digits = 5)
|
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