This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Minimal example of Shiny widget using 'magick' images | |
| ui <- fluidPage( | |
| titlePanel("Magick Shiny Demo"), | |
| sidebarLayout( | |
| sidebarPanel( | |
| fileInput("upload", "Upload new image", accept = c('image/png', 'image/jpeg')), | |
| textInput("size", "Size", value = "500x500"), |
aagarw30
/ DESCRIPTION
Last active
February 20, 2024 16:42
Use case - Change the side bar panel elements based on the selected tab
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Title: Use case - Change the side bar panel elements based on the selected tab & demo conditionalPanel() function | |
| Description: Powered by R, Shiny, GGPLOT2 and RStudio. | |
| License: GPL-3 | |
| Author: Abhinav Agrawal | |
| DisplayMode: Showcase | |
| Tags: R, R Shiny,TabsetPanel, ConditionalPanel | |
| Type: Shiny |
mattbaggott
/ predicting_customer_behav_1.R
Last active
September 15, 2020 22:16
Uses the BTYD package and Pareto/NBD model to predict customer behavior in R
Slides are at: http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1#
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # | |
| # PREDICTING LONG TERM CUSTOMER VALUE WITH BTYD PACKAGE | |
| # Pareto/NBD (negative binomial distribution) modeling of | |
| # repeat-buying behavior in a noncontractual setting | |
| # | |
| # Matthew Baggott, [email protected] | |
| # | |
| # Accompanying slides at: | |
| # http://www.slideshare.net/mattbagg/baggott-predict-customerinrpart1# | |
| # |