an_cont: Analyse a continuous outcome in a cross-over dataset
In mjg211/xover: Design and analysis of cross-over clinical trials

Description Usage Arguments Details Value References See Also

Facilitates the analysis of continuous outcome data in a cross-over dataset.

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an_cont(data, outcome, method = "lmm", alternative = "two_sided",
  complete_case = T, conf_level = 0.95, carryover = F, summary = T,
  ...)

`data`	A `tibble` of class `xover_data`.
`outcome`	The chosen continuous outcome variable from `data` for which the analysis will be performed. Should be stated absolutely, i.e., not as a `character` string.
`method`	A `character` string indicating which method to use for analysis. Must be one of `"anova"`, `"lmm"`, and `"t_test"`.
`alternative`	`character` string indicating whether to perform a one- or two-sided test. Must be one of `"one_sided"` and `"two_sided"`.
`complete_case`	A `logical` variable indicating whether to reduce `data` to its complete case form.
`conf_level`	The confidence level to use in confidence interval construction. Should be a single `numeric` strictly between zero and one.
`carryover`	Only used in the case that `method` is `"lmm"`, when it indicates whether carryover effects should be included in the model. Should be a `logical` variable.
`summary`	A `logical` variable indicating whether a summary of the function's progress should be printed to the console. Defaults to `T`.

an_cont() supports the analysis of continuous outcome data from a cross-over trial. Precisely, a dataset of class xover_data is provided (see data), along with a continuous outcome variable within this dataset (see outcome). The value of method, and several other input arguments, then determines the type of analysis performed on the data. At present, the following values of method are supported:

"anova": To analyse using an analysis of variance approach;
"lmm": To analyse using a linear mixed model;
"t_test": To analyse using t-tests.

See the package vignette for further dettails.

Note that datasets can be converted to class xover_data using as_xover_data.

A list or class xover_an containing in particular a list test_results describing the results of the chosen test.

Jones B, Kenward MG (2014) Design and Analysis of Cross-Over Trials. Chapman and Hall: London, 3rd Edition.

as_xover_data for converting datasets to class xover_data.

mjg211/xover documentation built on Oct. 16, 2019, 10:46 a.m.