Xavablog – Comments on pROC 1.5 released

Re: pROC 1.5 released

2012-01-19T17:47:00+01:00

I'm glad to see it solved your problem!

Re: pROC 1.5 released

2012-01-18T21:33:01+01:00

Finally pROC is running perfectly in my computer. I will send you some of my production with your development! I am really satisfied and pROC allow to finish a paper for publishing.
My problems were the consequence that when I built R tcl8.5-dev tk8.5-dev packages were not installed. So, I installed them and rebuilt R and all the functions work.
Thank you for your help.

Re: pROC 1.5 released

2012-01-14T16:57:00+01:00

Your traceback seems to indicate that pROC is not loaded.
From the output, I see cov.roc is never called. That error message is typical of the cov function included in the stats package (base R).
Try it again after loading pROC with library(pROC).

Re: pROC 1.5 released

2012-01-14T14:44:02+01:00

Xavier, I do not know exactly what is a "traceback". But I typed it at the R prompt and I obtained the following

> traceback()
3: stop(paste(ch, " is not ", if (length(r) > 1L) "all ", "TRUE",
sep = ""), call. = FALSE)
2: stopifnot(is.numeric(x) || is.logical(x), is.atomic(x))
1: cov(rocABC, rocERF)

rocABC and rocERF were obtained from the data.frame

> a
estado ABC ERF
1 poor 1 23
2 poor 2 23
3 poor 3 21
4 poor 4 14
5 poor 5 23
6 poor 1 46
7 poor 2 54
8 poor 3 34
9 poor 5 34
10 poor 5 56
11 poor 5 43
12 poor 4 65
13 poor 3 54
14 poor 2 45
15 poor 2 45
16 good 3 87
17 good 4 76
18 good 5 54
19 good 7 34
20 good 8 45
21 good 9 56
22 good 9 67
23 good 8 76
24 good 7 65
25 good 6 54
26 good 4 43
27 good 3 32
28 good 2 23
29 good 1 34
30 good 8 56

were ABC and ERF are the values of two different clinical analysis.

Re: pROC 1.5 released

2012-01-10T11:53:30+01:00

Hi Alfredo,

The covariance is a lower level statistical information. It can be useful for other calculations (for instance it is used in the power.roc.test that will be in the next release).

Concerning the error, can you please send me the result of a traceback()?

Re: pROC 1.5 released

2012-01-10T11:37:12+01:00

I understand perfectly roc.test function, but what is the usefulness of the function cov? In addition, I was not be able to use this function with two rocobjetcs.
I have the roc objetcs: rocABC, and rocERF
when I use
cov(rocABC,rocERF) the message is
Error: is.numeric(x) || is.logical(x) is not TRUE