ci.boot {asbio} | R Documentation |

## Bootstrap confidence intervals

### Description

Bootstrap confidence intervals for the output of function `bootstrap`

. Up to five different interval estimation methods can be called simultaneously:
the normal approximation, the basic bootstrap, the percentile method, the bias corrected and accelerated method (BCa), and the studentized bootstrap method.

### Usage

```
ci.boot(x, method = "all", sigma.t = NULL, conf = 0.95)
```

### Arguments

`x` |
For |

`method` |
CI interval method to be used. One of |

`sigma.t` |
Vector of standard errors in association with studentized intervals. |

`conf` |
Confidence level; 1 - |

### Author(s)

Ken Aho

### References

Manly, B. F. J. (1997) *Randomization and Monte Carlo Methods in Biology, 2nd edition*.
Chapman and Hall, London.

### See Also

### Examples

```
data(vs)
# A partial set of observations from a single plot for a Scandinavian
# moss/vascular plant/lichen survey.
site18<-t(vs[1,])
#Shannon-Weiner diversity
SW<-function(data){
d<-data[data!=0]
p<-d/sum(d)
-1*sum(p*log(p))
}
b <- bootstrap(site18[,1],SW)
ci.boot(b)
```

[Package

*asbio*version 1.9-7 Index]