Displaying 4 results from an estimated 4 matches for "roc1".
Did you mean:
rc1
2003 May 28
0
plot() error-msg: "need finite xlim values"
...rror in plot.window(xlim, ylim, log, asp, ...) :
need finite xlim values"
---
> set.seed(123)
> state <- c(0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, + 1, 1,
1)
> markers <- c(1, 2, 1, 1, 2, 3, 3, 4, 2, 1, 1, 3, 2, 3, 2, 4, + 5, 2,
3, 4) + runif(20, -1, 1)
> roc1 <- rocdemo.sca(truth = state, data = markers, rule = dxrule.sca,
seqlen = 5)
> plot(roc1)
Error in plot.window(xlim, ylim, log, asp, ...) :
need finite xlim values
In addition: Warning messages:
1: no finite arguments to min; returning Inf
2: no finite arguments to max; returning -Inf...
2010 Oct 13
1
bootstrap in pROC package
Dear useRs:
I use pROC package to compute the bootstrap C.I. of AUC.
The command was as follows:
roc1<-roc(all$D,all$pre,ci=TRUE,boot.n=200)
However, the result was:
Area under the curve: 0.5903
95% CI: 0.479-0.7016 (DeLong)
Why the C.I. was computed by the Delong Method?
Yao Zhu
Department of Urology
Fudan University Shanghai Cancer Center
Shanghai, China
[[alternative HTML version delet...
2013 Apr 14
2
script works in Rgui, but failes in Rscript (coords, package 'pROC')
...t;- c(1.804984e-05, 1.908517e-02, 2.934481e-02, 8.188098e-02,
1.528048e-03, 4.617807e-01, 1.420925e-03, 2.360183e-01, 1.874567e-02,
5.127498e-01, 9.438651e-03, 2.162788e-01, 9.142649e-04, 1.173577e-01,
7.270350e-03, 4.699286e-01, 4.553215e-03, 3.942892e-01)
roc_test <- data.frame (hits, score)
roc1 <- roc(roc_test$hit, roc_test$score, plot = FALSE, smooth = FALSE,
sensitivities = TRUE )
roc.result <- coords(roc1, "best", ret=c("t", "se", "sp"), as.list = TRUE,
best.method=c("closest.topleft"))
print(roc.result$best$threshold)
# script e...
2010 Oct 15
0
nomianl response model
...o: R-project help <r-help at r-project.org>
Subject: [R] bootstrap in pROC package
Message-ID:
<AANLkTikC10HcMcq9Qc5FE572WOXTJ0jj-0GkvMNgXRh9 at mail.gmail.com>
Content-Type: text/plain
Dear useRs:
I use pROC package to compute the bootstrap C.I. of AUC.
The command was as follows:
roc1<-roc(all$D,all$pre,ci=TRUE,boot.n=200)
However, the result was:
Area under the curve: 0.5903
95% CI: 0.479-0.7016 (DeLong)
Why the C.I. was computed by the Delong Method?
Yao Zhu
Department of Urology
Fudan University Shanghai Cancer Center
Shanghai, China
[[alternative HTML version delet...