Hi all,
I encountered a weird problem when using the
Design and Hmisc libraries in S-Plus (it worked well
in R). I have a data frame called b, which
has 3 columns: time, status and
scores, a sample of the data frame is like:
data frame b:
time status scores
1 27 0 -126.7
2 24 0 -135.6
3 30 0 -139.5
4 49 0 -137.6
5 27 0 -136.9
when I ran the following script using this data frame,
even though no error message was produced, no fit
object was generated:
library(Hmisc,T);library(Design,T)
dd - datadist(b)
options(datadist='dd')
fit - cph(Surv(time,status) ~ scores,
data=b,surv=T, x=T, y=T)
fit
Problem: Object fit not found, while calling
subroutine S_agsurv2
Use traceback() to see the call stack
actually data frame b has 177 rows, the script ran
ok on the first 166 rows as a subset, but started to
break down if subset of the first 177 rows were used
as the input, or the first 166 rows plus 168th row,
the data in those rows in b are:
time status scores
165 172 0 -123.3
166 105 0 -138.4
167 166 0 -128.8
168 140 0 -114.2
169 163 0 -117.0
170 141 0 -115.8
Additionally, even if I only ran the script on the
first 166 rows, I still can't generate a plot:
dd - datadist(bbb[1:166,])
options(datadist='dd')
fit - cph(Surv(time,status) ~ scores,
data=bbb[1:166,],surv=T, x=T, y=T)
fit
Cox Proportional Hazards Model
cph(formula = Surv(time, status) ~ scores, data =
bbb[1:166, ], x = T, y = T, surv = T)
Obs Events Model L.R. d.f. P Score Score PR2
166 36 29.081 0 35.37 0 0.182
coef se(coef)z p
scores 0.102 0.0172 5.94 2.91e-009
plot(fit, scores=seq(-140, -100, by=1),
time=36,fun=function(x) 1-x,xlim=c(-140,
-100),ylim=c(0,1),lwd=3,xlab='Scores',ylab='Probability
at 3 Years')
no error message, but only a blank graph window is
produced.
can anyone please tell me why this happens only in
S-Plus, but not in R? no missing value is present in
either data frame. the data b is attached in case
you need to run the script.
Thanks very much!
__
row.names timestatus scores
1 27 0 -126.706775142792
2 24 0 -135.646938397462
3 30 0 -139.508762843248
4 49 0 -137.551209881948
5 27 0 -136.868192376342
6 41 0 -135.331913852558
7 31 0 -131.954779047339
8 27 0 -131.524681661997
9 37 0 -131.786118789511
10 38 1 -98.9746000656833
11 29 1 -105.533478698214
12 31 1 -112.317311438571
13 49 1 -106.60935095037
14 51 0 -127.040652771522
15 53 0 -125.818847128221
16 76 0 -122.973527977967
17 77 0 -129.84742262956
18 41 0 -126.759206020033
19 62 0 -124.688165345946
20 52 0 -121.724878244943
21 83 0 -127.065353492987
22 10 1 -105.019394502807
23 60 0 -126.590791227224
24 56 0 -128.398971375234
25 43 0 -122.109019588711
26 17 1 -98.1976727902452
27 107 0 -126.545160192436
28 21 1 -121.472686960897
29 38 0 -120.93978698714
30 51 0 -117.109857031147
31 48 0 -133.322549387909
32 78 0 -124.877928079306
33 55 0 -128.908553897764
34 53 0 -130.185734686138
35 10 1 -115.375584653794
36 5 1 -116.131928609306
37 21 1 -116.453942436335
38 24 1 -123.020079653056
39 24 1 -131.311964779875
40 24 1 -117.748209513549
41 37 0 -127.985941925825
42 53 0 -124.534919208761
43 54 1 -138.345612101095
44 35 1 -121.365208594489
45 60 0 -133.593779020529
46 69 0 -130.449420655907
47 74 0 -135.183874932554
48 48 0 -139.167445404491
49 54 0 -130.900766393426
50 55 0 -115.834160342219
51 69 0 -124.397447684606
52 17 1 -115.232780851337
53 24 1 -123.652687449155
54 24 1 -113.79362358954
55 14 1 -125.077495747215
56 15 1 -123.39550171375
57 6 1 -120.703960854828
58 27 1 -122.593559899788
59 19 1 -115.508773940805
60 35 1 -131.602555921887
61 68 1 -115.631506755249
62 42 1 -128.315195343203
63 47 1 -123.511731764928
64 13 1 -127.655777153564
65 25 1 -123.503248471324
66 15 1 -121.266145049005
67 44 1
