Description Usage Arguments Details Value Examples

With this function you can extract the modelled (log) odds ratio, odds or percentages that represent the chance on differential expression as estimated by the uWMW function. It also allows to extract either the standard error of or the confidence interval around the estimates. See Details for more explanation.

1 2 3 4 |

`x` |
an object of the clas uwmwRes |

`esttype` |
a character string indicating the measure you want to extract.
It can take the values |

`se.fit` |
logical value indicating whether the standard errors of the
logor or the log odds should be returned as well. Ignored when type has a
value different from |

`ci` |
numerical value indicating the confidence interval (0.95 is 95% confidence interval). If set to TRUE, the 95 interval is returned. If set to NULL, no confidence interval is returned. |

`drop` |
a logical value. If set to |

`...` |
passes on arguments to the next method |

The function can only calculate standard errors for the log OR and
the log odds. In all other cases, `se.fit`

is ignored. The function
takes into account a possible ordering in the object
(see also `sort`

). So take into account that you
get the estimates in the specified order. In case you want this different,
either use the function `unorder`

on the object first,
or check if any of the `uwmw_Accessors`

can help you out.

The argument `se.fit`

is mainly to be used to save calculation time.
Normally there's no need to set it to `FALSE`

.

In general, a `uwmwEstimate`

object with the
requested estimate. See `uwmwEstimate`

for details.
In case `drop=TRUE`

and neither the standard error nor
the confidence interval is calculated, a numeric named vector.

1 2 3 4 | ```
data(NBmat)
NBtest <- uWMW(NBmat, groups=NBgroups)
getEstimate(NBtest,'logodds')
getEstimate(NBtest,'odds',ci=0.9)
``` |

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