Developing Data Products (project)

What for the Shiny app is?

[1] "The presentation starts"

The initial goal of this Shiny app is to demonstrate how to use different functions of 'glm' family (their output and performance indicators (time)) such as:

1. binomial
2. gaussian
3. poisson
4. quasibinomial
5. quasipoisson

All function settings are considered to be default but for the data frame dimensions and model type (types of 'glm' family). The data frame is filled up with 'rnorm' function.

The description of App’s elements

• sliderInput('predictors','Qty of predictors selected') define the number of predictors to be used in the theoretical data frame. The default value is '1'. You must pick up, at least, two predictors otherwise the script will throw the warning and stop the App.

• textInput('observations','Qty of observations') define the number of observation.

• selectInput('y_dependable',','Select predictor as Y') define the dependant variable. The element is disabled. On default it is 'V1' (contains 1 or 0 values).

• selectInput('models', 'Model type selected') define the type of model selected.