Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Attach dependencies to source code Attach dependencies to the source c...
cloglog transformation utility
Cumulative hazard transformation utility
step function utility
Event transformation utility
Add a Kaplan-Meier survival curve
Add confidence bands to a Kaplan-Meier survival curve
Add tick marks to a Kaplan-Meier survival curve
Retrieve the source code of a "sourceable" 'ggplot2'
Create a continuous fit vs exposure(s) plot
Create a Kaplan-Meier plot with risk table
Create a logistic fit vs exposure(s)plot
Geom Proto
Create a fit vs exposure(s)plot
merge step function utility
Add 'ggplot2' layer to a sourceable 'ggplot2'
Run the ggquickeda application
Make a 'ggplot2' object sourceable
step function utility from ggalt
Adds a Kaplan Meier Estimate of Survival
Adds confidence bands to a Kaplan Meier Estimate of Survival
Adds tick marks to a Kaplan Meier Estimate of Survival
Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
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