Takes boundEst object and creates data frame with p-values and confidence intervals for stopping points between `Nmin`

and `Nmax`

.

1 2 3 4 5 |

`object` |
object of class |

`Nrange` |
numeric vector, range of total trials to output boundary points (see details) |

`Srange` |
numeric vector, range of successes to output boundary points (see details) |

`output` |
character, type of output, 'all','csv', or 'print' |

`file` |
character, name of file to output comma separated file |

`x` |
object of class 'stopTable' |

`digits` |
vector of length 1 or 2, first element is digits to print for estimates and confidence intervals (and p-values if length(digits)=1), second element is digits for p-values |

`maxnprint` |
number of rows to print from the table |

`...` |
additional arguments to be passed to print function, not needed |

Create table with statistics at selected stopping points. The arguments `Nrange`

and `Srange`

select which points to output. If `Nrange`

and `Srange`

is of length 2, then the function selects output within the ranges of the associated N and S values.
If `Nrange`

and `Srange`

is of length 1, then the function selects only output with exactly the specified values. Note that because `Nrange`

is the only argument
that starts with 'N', then `stopTable(object,N=41)`

and `stopTable(oject,Nrange=41)`

are equivalent.
Output is a `stopTable`

object (default), a data.frame (output='data.frame'), or a .csv file (output='csv'). The `print.stopTable`

function is an S3 print function for `stopTable`

objects, i.e., it determines the default printing to screen for those objects.

Either a `stopTable`

object, a data.frame, or a .csv file.
The `stopTable`

object is a list with elements

`conf.level` |
confidence level=1-lowerError-upperError |

`lowerError` |
c.i. error on lower side |

`upperError` |
c.i. error on upper side |

`nullTheta` |
probability of success under null hypothesis |

`binding` |
character, which boundaries are binding: 'both', 'lower', or 'upper' |

`alternative` |
character, alternative hypothesis either 'two.sided', 'less', or 'greater' |

`table` |
a data.frame with variables, S,N, estimate, lower (confidence limit), upper (confidence limit), pL (lower one-sided p-value), pU (upper one-sided p-value), pts (two-sided p-value), and UL (character giving part of the boundary: 'lower', 'upper', or 'end') |

The data.frame (or .csv file) returns the table element of the `stopTable`

with the other elements added as variables (or columns).

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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