> On 08-03-2015, at 19:29, Endy <pert...@yahoo.gr> wrote:
> 
> Hi R users. I have some problems with the package “survMisc”. When I am 
> loading it I am getting the following > library(survMisc)Loading required 
> package: survivalLoading required package: splinesLoading required package: 
> km.ciLoading required package: ggplot2Loading required package: 
> data.tabledata.table 1.9.4  For help type: ?data.table*** NB: by=.EACHI is 
> now explicit. See README to restore previous behaviour.Loading required 
> package: gridExtraLoading required package: gridLoading required package: 
> rpart Attaching package: ‘survMisc’ The following objects are masked from 
> ‘package:stats’:     AIC, BIC, median, quantile    In the above output I 
> noticed the line with the three stars (*). In order to restore the data.table 
> in its previous behavior I tried to locate the README file but I couldn’t.   
> I ignored that NB in the previous output and I continue to run the example 
> given in the above mentioned package for the routine comp(). The commands and 
> the output are given below.> ### 2 curves> data(kidney,package="KMsurv")> s1 
> <- survfit(Surv(time=time, event=delta) ~ type, data=kidney )> comp(s1)$tne   
>     t          n          e   n_type=1   e_type=1   n_type=2   e_type=2 1:  
> 1.5    86         2       43                1                  43             
>    1 2:  3.5    80         2       40                1                  40    
>             1 3:  4.5    72         4       36                2               
>    36                2 4:  5.5    66         2       33                1      
>             33                1 5:  8.5    60         4       30              
>   2                  30                2 6:  9.5    54         2       27     
>            1                  27                1 7: 10.5   50         2      
>  25                1                  25                1 8: 11.5    44       
>   2       22               1                  22                1 9: 15.5    
> 28         4       14               2                  14                210: 
> 16.5   26         2       13               1                  13              
>   111: 18.5   22         2       11               1                  11       
>          112: 23.5     8         2        4                 1                 
>    4                113: 26.5     6         2        3                 1      
>               3                1 $tests$tests$lrTests                         
>                                ChiSq df pLog-rank                             
>                    0  1 1Gehan-Breslow (mod~ Wilcoxon)             0  1 
> 1Tarone-Ware                                          0  1 1Peto-Peto         
>                                      0  1 1Mod~ Peto-Peto (Andersen)          
>           0  1 1Flem~-Harr~ with p=1, q=1                      0  1 1 
> $tests$supTests                                                             Q 
> pLog-rank                                                 0 1Gehan-Breslow 
> (mod~ Wilcoxon)              0 1Tarone-Ware                                   
>         0 1Peto-Peto                                               0 1Mod~ 
> Peto-Peto (Andersen)                     0 1Renyi Flem~-Harr~ with p=1, q=1   
>           0 1 Notice the zeros (0) that corresponds to the test statistics. 
> (To my opinion those zeros are strongly related to the NB above).   Next I 
> noticed the following strange, to my opinion, thing.  More precisely I have 
> written the following routine                                                 
>                                proc<-function(){ rm(list=ls()) 
> library(survMisc) d<-read.table("C:\\Program 
> Files\\R\\Data\\Survival\\HosmLem.txt",fill=TRUE,header=TRUE) 
> d4<-as.factor(d[,4]) s<-survfit(Surv(d[,2], d[,5])~d4) ctest<-comp(s)$tests 
> print(ctest)}The data used are those of Hosmer and Lemeshow book on Applied 
> Survival Analysis. The first rows of this data set follow.id Time Age Drug 
> Censor    entdate    enddate  1    5  46    0      1   05/15/1990 10/14/1990  
> 2    6  35    1      0   09/19/1989 03/20/1990  3    8  30    1      1   
> 04/21/1991 12/20/1991  4    3  30    1      1   01/03/1991 04/04/1991  5   22 
>  36    0      1   09/18/1989 07/19/1991  6    1  32    1      0    03/18/1991 
> 04/17/1991When I run the function proc() I am getting the answer> proc()Error 
> in Surv(d[, 2], d[, 5]) : object 'd' not foundIn contrast when I run the same 
> routine command-by-command I am getting the following output$lrTests          
>                                                ChiSq df pLog-rank             
>                                     0  1 1Gehan-Breslow (mod~ Wilcoxon)       
>        0  1 1Tarone-Ware                                           0  1 
> 1Peto-Peto                                               0  1 1Mod~ Peto-Peto 
> (Andersen)                     0  1 1Flem~-Harr~ with p=1, q=1                
>        0  1 1 $supTests                                                       
>        Q pLog-rank                                                  0 
> 1Gehan-Breslow (mod~ Wilcoxon)               0 1Tarone-Ware                   
>                          0 1Peto-Peto                                         
>        0 1Mod~ Peto-Peto (Andersen)                      0 1Renyi Flem~-Harr~ 
> with p=1, q=1              0 1Any assistance will greatly 
> appreciated.CheersEndyI am using theR version 3.1.1 (2014-07-10) -- "Sock it 
> to Me"Copyright (C) 2014 The R Foundation for Statistical ComputingPlatform: 
> i386-w64-mingw32/i386 (32-bit) 
> 
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