Hello,
 I am new to using R and I am having problems get boot() to work properly.  Here is what I am trying to do:
 
 I have statistic called "cs".  cs takes a data matrix (154 x 5) and calculates 12 different scores for me.  cs outputs the data as a vector (12 x 1).  cs doesn't really use weights, per se, however I have included this as one of the 2 arguments cs can take.
 
 I try performing a bootstrap by issuing: 
 myout<-boot(data, cs,R=999) 
 I have tried other versions where I specify stype="w", etc...
 
 The problem I get is that the dataset does not seem to be resampled.  I end up with 999 replicates that have the exact same value of the output of cs.
 
 In the end I have something like
 
 Bootstrap Statistics :
          original        bias    std. error
 t1*   0.865122275  1.698641e-14           0
 t2*  -0.005248414 -9.627715e-17           0
 t3*  -0.052833740 -8.812395e-16           0
 t4*   0.807040121  1.287859e-14           0
 t5*   0.542082588 -9.103829e-15           0
 t6*  -0.018617838 -7.285839e-17           0
 t7*   0.006409704  1.422473e-16           0
 t8*   0.529874453  8.104628e-15           0
 t9*   0.074804390  2.359224e-16           0
 t10* -0.007153634  1.301043e-16           0
 t11* -0.018241243 -2.359224e-16           0
 t12*  0.049409513 -1.200429e-15           0
 
 Clearly the bootstrap is not working.  What am I doing wrong?
 
 Thanks,
 Ben
 
   
-------------------------------
Benjamin Ridenhour
School of Biological Sciences
Washigton State University
P.O. Box 644236
Pullman, WA 99164-4236
Phone (509)335-7218
-------------------------------- 
"Nothing in biology makes sense except in the light of evolution."
-T. Dobzhansky



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