Displaying 3 results from an estimated 3 matches for "fac7".
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2012 Nov 29
5
bootstrapped cox regression (rms package)
..., which at least generates confidence intervals similar to what is
observed in SPSS. However, the p-values associated with each predictor in
the model are not really close in many instances.
Here is the code I am using:
formula=Surv(months, recidivate) ~ fac1 + fac2 + fac3 + fac4 + fac5 + fac6
+ fac7 + fac8
fit=cph(formula, data=temp, x=T, y=T)
validate(fit, method="boot", B=9999, bw=F, type="residual", sls=0.05,
aics=0,force=NULL, estimates=TRUE, pr=FALSE)
out=bootcov(fit, B=9999, pr=F, coef.reps=T, loglik=F)
for (i in 1:8) {
print(quantile(out$boot.Coef[,i], c(.025, .975))...
2012 Nov 29
0
bootstrapped cox regression in rms package (non html!)
..., which at least generates confidence intervals similar
to what is observed in SPSS. However, the p-values associated with
each predictor in the model are not really close in many instances.
Here is the code I am using:
formula=Surv(months, recidivate) ~ fac1 + fac2 + fac3 + fac4 + fac5 +
fac6 + fac7 + fac8
fit=cph(formula, data=temp, x=T, y=T)
validate(fit, method="boot", B=9999, bw=F, type="residual", sls=0.05,
aics=0,force=NULL, estimates=TRUE, pr=FALSE)
out=bootcov(fit, B=9999, pr=F, coef.reps=T, loglik=F)
for (i in 1:8) {
print(quantile(out$boot.Coef[,i], c(.025, .975))...
2010 Nov 29
1
surpressing tickmarks / labels x-as for two sets of boxplot (plotted as stacked boxplots)
...factor, data = temp, naxt="n",add = TRUE,
??????? boxwex = 0.25, at = 1:7 + 0.15,
??????? subset = experiment == "second", col = "green")
axis(at=1:7,side=1,c("fac1","fac2","fac3","fac4","fac5","fac6","fac7"))
legend(6,-0.5, c("experiment1", "experiment2"),
?????? fill = c("red", "green"))
Does anyone know how I can surpress these labels for the second boxplot?
Thanks in advance,
Karin