Any help with bootstrapping

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hello,
The distribution of your t* seems so asymmetric that the correction for 
the acceleration is big and extreme t* are selected as critical values 
of your CI. As BCa CI have the propriety of transformation invariance, 
a transformation of the scale makes no sense. (you could choose 
transformed bootstrap-t CI).
One possibility to avoid your problem with BCa Ci is to increase R, the 
number of replications. Try 1500 or more...
hope this help,
dlc
Could someone help me on how to correctly try to correct this error
message

arning : BCa Intervals used Extreme Quantiles
Some BCa intervals may be unstable
Warning message:
Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha)

Regards
IF

Could someone help me on how to correctly try to correct this error
message

arning : BCa Intervals used Extreme Quantiles
Some BCa intervals may be unstable
Warning message: 
Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha)

Regards
IF
Note that this is not an error, but a "just" warning. Can we assume you 
used boot() from package "boot"?

Uwe Ligges
This is not an error.  It is a warning.  I sometimes get it when there 
are aren't enough data or there aren't enough bootstrap iterations.

-roger
Could someone help me on how to correctly try to correct this error
message

arning : BCa Intervals used Extreme Quantiles
Some BCa intervals may be unstable
Warning message: 
Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha)

Regards
IF

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