[R] Hiding "Warning messages" in coxme output
Mohammad Ehsanul Karim
wildscop at yahoo.com
Fri Apr 20 17:44:42 CEST 2007
Dear list,
I have been trying to use coxme in R 2.3.1.
When I use coxme in the following data sim.fr1, i get
"Warning messages: using 'as.environment(NULL)' is
deprecated"
Why does it occur?
How can I hide such warning message,
especially when coxme is under a loop?
Mohammad Ehsanul Karim (Institute of Statistical
Research and Training, University of Dhaka)
> fit.me1<-coxme(Surv(times,censored) ~
var1+var2+var3+var4+var5+var6, data=sim.fr1, random=
~1|id)
Warning messages:
1: using 'as.environment(NULL)' is deprecated
2: using 'as.environment(NULL)' is deprecated
3: using 'as.environment(NULL)' is deprecated
> sim.fr1
id var1 var2 var3
1 4 50.04399 239.8418 56.00348
2 2 40.75726 214.1387 61.95184
3 2 48.58170 225.4939 49.14774
4 1 68.02430 196.4890 55.83904
5 1 53.18038 219.8787 53.26361
6 1 60.42044 232.9754 47.49109
7 3 52.46432 212.7600 40.91770
8 1 57.45639 224.0846 51.53311
9 5 52.06026 183.2561 45.23863
10 3 65.61341 236.3037 57.44500
11 3 44.76174 202.1090 57.28233
12 4 46.84952 269.7694 53.07128
13 3 64.32224 174.5415 49.59961
14 2 56.43505 202.7242 42.82385
15 2 54.60324 229.3141 52.37811
16 3 59.79979 223.4841 47.89820
17 1 70.27831 201.5328 50.13637
18 1 60.60456 252.3765 54.89354
19 1 54.19388 205.0361 47.90004
20 3 47.20526 215.2096 45.88214
21 2 66.63391 262.5909 47.07526
22 5 35.59189 207.1023 47.88421
23 4 47.90704 255.9449 44.68653
24 1 38.67878 226.9713 44.69175
25 1 58.38346 194.3363 52.31043
26 2 55.56699 188.0691 47.11112
27 3 60.14032 223.7305 43.05751
28 4 47.86896 216.3541 43.72464
29 4 60.68309 214.9878 46.29433
30 3 51.09243 225.0828 56.85092
31 2 53.60470 266.2956 41.77462
32 2 59.01639 239.9694 57.52918
33 4 45.69305 178.3362 56.72676
34 5 47.64128 217.0027 46.55197
35 4 67.95317 245.0579 43.73846
36 3 47.23630 247.1667 48.90833
37 5 69.60160 218.0039 47.88746
38 4 67.91754 225.0661 47.69852
39 2 57.73782 176.2204 52.55087
40 5 47.00849 247.6134 49.36938
41 4 73.32817 171.4144 54.24920
42 1 60.49102 261.6575 52.54041
43 5 61.09394 208.2990 49.63053
44 4 58.68786 196.3652 40.75177
45 2 71.02560 216.8412 47.30145
46 5 53.48662 229.7460 54.09643
47 5 48.88694 190.6449 46.87681
48 5 62.71642 251.0692 34.96885
49 3 74.22934 256.0549 56.12771
50 5 58.75543 247.3048 53.20891
var4 var5 var6 times
1 141.8141 1 0 0.0088438147
2 134.9364 1 0 0.0088438147
3 148.7873 0 0 0.0088438147
4 141.6457 1 0 0.0088438147
5 129.0089 0 0 0.0088438147
6 148.4601 1 0 0.0085473350
7 136.8948 1 0 0.0080652111
8 151.7048 1 1 0.0074827612
9 141.4720 0 0 0.0065128176
10 139.4224 0 0 0.0060424132
11 151.0035 1 0 0.0052687628
12 148.9482 0 0 0.0052599672
13 129.2505 1 0 0.0045640074
14 148.3178 0 0 0.0044079121
15 136.7365 0 0 0.0043426240
16 140.9471 1 0 0.0043169195
17 161.5255 1 0 0.0036934807
18 144.5947 0 0 0.0035073027
19 132.7104 1 1 0.0030682908
20 142.7094 1 1 0.0029271986
21 145.3469 1 0 0.0028454803
22 136.0977 0 0 0.0027955814
23 147.9991 0 1 0.0023559577
24 137.6689 1 0 0.0022944927
25 143.8760 0 0 0.0021630910
26 138.5741 1 1 0.0021491140
27 136.9094 1 1 0.0020458238
28 144.5598 1 0 0.0019319740
29 140.1745 1 0 0.0018676570
30 138.0642 0 0 0.0015548233
31 144.8542 0 0 0.0014358009
32 144.7343 1 1 0.0013238184
33 141.0691 1 1 0.0012197567
34 135.2025 0 1 0.0011901152
35 148.0699 0 0 0.0011596276
36 144.6939 0 0 0.0010145029
37 149.5679 0 0 0.0008390243
38 139.2625 1 0 0.0007960708
39 140.1564 0 0 0.0007257659
40 148.4176 1 0 0.0007173467
41 140.1095 1 1 0.0006009356
42 147.3081 1 0 0.0005399407
43 142.1086 1 1 0.0005150721
44 148.8549 1 1 0.0004632902
45 143.5331 0 0 0.0003720645
46 153.2280 1 0 0.0003566726
47 138.3347 0 1 0.0002300687
48 141.0115 1 0 0.0001998501
49 137.9199 1 0 0.0001416588
50 141.9770 0 1 0.0001021952
censored Frailty
1 0 0.8476022
2 0 0.8935796
3 0 0.8935796
4 0 0.0432273
5 0 0.0432273
6 1 0.0432273
7 1 0.4839272
8 1 0.0432273
9 1 2.0667992
10 1 0.4839272
11 1 0.4839272
12 1 0.8476022
13 1 0.4839272
14 1 0.8935796
15 1 0.8935796
16 1 0.4839272
17 1 0.0432273
18 1 0.0432273
19 1 0.0432273
20 1 0.4839272
21 1 0.8935796
22 1 2.0667992
23 1 0.8476022
24 1 0.0432273
25 1 0.0432273
26 1 0.8935796
27 1 0.4839272
28 1 0.8476022
29 1 0.8476022
30 1 0.4839272
31 1 0.8935796
32 1 0.8935796
33 1 0.8476022
34 1 2.0667992
35 1 0.8476022
36 1 0.4839272
37 1 2.0667992
38 1 0.8476022
39 1 0.8935796
40 1 2.0667992
41 1 0.8476022
42 1 0.0432273
43 1 2.0667992
44 1 0.8476022
45 1 0.8935796
46 1 2.0667992
47 1 2.0667992
48 1 2.0667992
49 1 0.4839272
50 1 2.0667992
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