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healthyR.ai

Lifecycle: experimental PRs Welcome

The goal of healthyR.ai is to create a verb framework that allows for easy exploration, transformation and modeling of data.

Installation

You can install the released version of healthyR.ai from CRAN with:

install.packages("healthyR.ai")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("spsanderson/healthyR.ai")

Example

This is a basic example which shows you how to solve a common problem:

library(healthyR.ai)
#> 
#> == Welcome to healthyR.ai ===========================================================================
#> If you find this package useful, please leave a star: 
#>    https://github.com/spsanderson/healthyR.ai'
#> 
#> If you encounter a bug or want to request an enhancement please file an issue at:
#>    https://github.com/spsanderson/healthyR.ai/issues
#> 
#> Thank you for using healthyR.ai
library(ggplot2)

data_tbl <- tibble::tibble(
        day = sample(c("Monday", "Tuesday", "Wednesday", "Thursday", "Friday"),
                     100, TRUE),
        person = sample(c("Tom", "Jane", "Alex"), 100, TRUE),
        count = rbinom(100, 20, ifelse(day == "Friday", .5, .2)),
        date = Sys.Date() - sample.int(100))

my_chart <- hai_control_chart(data_tbl, count, date)

my_chart +
    ylab("Number of Adverse Events") +
    scale_x_date(name = "Week of ... ", date_breaks = "week") +
    theme(axis.text.x = element_text(angle = -90, vjust = 0.5, hjust=1))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.