SeaClass: SeaClass Interactive GUI

In ChrisDienes/SeaClass: Interactive GUI for analyzing a binary response variable

Description

The SeaClass function starts up the interactive GUI for binary response variable analysis.

Usage

SeaClass()

Details

Detailed instructions are included on the application's info tab. The application can be initiated using the command SeaClass() or from RStudio's Addins dropdown menu. Note that categorical predictors with a large number of levels can be problematic for some of the application modules. Hence, categorical variables with only one level or more than 10 levels are often ignored. The user can manually adjust max_num_of_levels after downloading the R analysis code.

Value

None.

Examples

## Not run: 
### Fake Data:
X <- matrix(rnorm(10000,0,1),ncol=10,nrow=1000)
X[1:100,1:2] <- X[1:100,1:2] + 3
Y <- c(rep(1,100), rep(0,900))
Fake_Data <- data.frame(Y = Y , X)
### SeaClass Rare Failure Data:
data("rareFailData")
SeaClass()
## End(Not run)

ChrisDienes/SeaClass documentation built on May 18, 2019, 9:15 p.m.