| Version: | 0.0.6 |
| Title: | Code and Obtain Customized Planned Comparisons with 'appRiori' |
| Description: | With 'appRiori' <doi:10.1177/25152459241293110>, users upload the research variables and the app guides them to the best set of comparisons fitting the hypotheses, for both main and interaction effects. Through a graphical explanation and empirical examples on reproducible data, it is shown that it is possible to understand both the logic behind the planned comparisons and the way to interpret them when a model is tested. |
| License: | GPL (≥ 3) |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.1 |
| URL: | https://github.com/Ugranziol/appRiori |
| BugReports: | https://github.com/Ugranziol/appRiori/issues |
| Imports: | dplyr, DT, hypr, markdown, MASS, pracma, rhandsontable, shiny, shinythemes, sortable, stringr |
| NeedsCompilation: | no |
| Packaged: | 2025-02-27 09:08:19 UTC; LABB08 |
| Author: | Umberto Granziol [aut, cre],
Maximilian Rabe 
[aut],
Andrea Spoto [aut],
Giulio Vidotto [aut],
Marcello Gallucci [aut] |
| Maintainer: | Umberto Granziol <umberto.granziol@unipd.it> |
| Repository: | CRAN |
| Date/Publication: | 2025-02-27 09:20:02 UTC |
Running appRiori
Description
This function runs the appRiori Shiny app.
Usage
appRiori(...)
Arguments
... |
Arguments passed on to |
Value
No return value, called for side effects
See Also
Examples
## Not run:
# Run the app with default settings
library(appRiori)
appRiori()
## End(Not run)
Summary for hypr contrasts
Description
Extract the estimates and the inferential tests for a contrasts
defined by hypr
Usage
contrasts_summary(model, ...)
## Default S3 method:
contrasts_summary(model, ...)
## S3 method for class 'merMod'
contrasts_summary(model, ...)
## S3 method for class 'glmerMod'
contrasts_summary(model, ...)
Arguments
model |
|
... |
additional options (not used at the moment) |
Value
A results table of class hypr_contrasts_results.
Examples
library(MASS)
df<-MASS::anorexia
df$Treat = factor(df$Treat)
library ( hypr )
h <- hypr ( ~ 1/2 * CBT + 1/2 * FT - Cont , ~ CBT - FT , levels = c( "CBT" , "Cont" , "FT" ))
contrasts(df$Treat,how.many=2)<-cmat(h)
model = lm ( Prewt ~ Treat , data = df )
contrasts_summary ( model )
Print for hypr contrasts
Description
Pretty print the estimates and the inferential tests for a contrasts
defined by hypr
Usage
## S3 method for class 'hypr_contrasts_results'
print(x, ...)
Arguments
x |
an object of class |
... |
additional options (not used at the moment) |
Value
A results table