shiny_clme: Shiny GUI for CLME

Description Usage Arguments Format Details Note Examples

View source: R/shiny_clme.r

Description

Opens a graphical user interface to run CLME, built from the shiny package.

The UI for the shiny app in CLME

The server for the shiny app in CLME

Usage

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Arguments

input

input from GUI.

output

output to GUI.

Format

An object of class shiny.tag.list (inherits from list) of length 3.

Details

Currently the GUI does not allow specification of custom orders for the alternative hypothesis. Future versions may enable this capability. The data should be a CSV or table-delimited file with the first row being a header. Variables are identified using their column letter or number (e.g., 1 or A). Separate multiple variables with a comma (e.g., 1,2,4 or A,B,D), or select a range of variables with a dash (e.g., 1-4 or A-D). Set to 'None' (default) to indicate no covariates or random effects. If group levels for the constrained effect are character, they may not be read in the proper order. An extra column may contain the ordered group levels (it may therefore have different length than the rest of the dataset).

Note

This function is primarily designed to be called by clme.

By default, homogeneous variances are assumed for the residuals and (if included) random effects. Heterogeneity can be induced using the arguments Nks and Qs, which refer to the vectors (n1, n2 ,... , nk) and (c1, c2 ,... , cq), respectively. See clme_em for further explanation of these values.

Examples

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## Not run:  shiny_clme() 

jelsema/CLME documentation built on Aug. 20, 2017, 10:49 a.m.