healthyR

The goal of healthyR is to help quickly analyze common data problems in the Administrative and Clincial spaces.

Installation

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

install.packages("healthyR")

And the development version from GitHub with:

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

Example

This is a basic example of using the ts_median_excess_plt() function`:

library(healthyR)
library(timetk)
library(dplyr)

ts_signature_tbl(.data = m4_daily, .date_col = date, .pad_time = TRUE, id) %>%
    ts_median_excess_plt(
        .date_col           = date
        , .value_col        = value
        , .x_axis           = week
        , .ggplot_group_var = year
        , .years_back       = 5
    )

Here is a simple example of using the ts_signature_tbl() function:

library(healthyR)
library(timetk)

ts_signature_tbl(.data = m4_daily, .date_col = date)
#> # A tibble: 17,578 × 31
#>    id    date       value index.num  diff  year year.iso  half quarter month
#>    <fct> <date>     <dbl>     <dbl> <dbl> <int>    <int> <int>   <int> <int>
#>  1 D410  1978-06-23 9109. 267408000    NA  1978     1978     1       2     6
#>  2 D410  1978-06-24 9103. 267494400 86400  1978     1978     1       2     6
#>  3 D410  1978-06-25 9116. 267580800 86400  1978     1978     1       2     6
#>  4 D410  1978-06-26 9116. 267667200 86400  1978     1978     1       2     6
#>  5 D410  1978-06-27 9106. 267753600 86400  1978     1978     1       2     6
#>  6 D410  1978-06-28 9094. 267840000 86400  1978     1978     1       2     6
#>  7 D410  1978-06-29 9094. 267926400 86400  1978     1978     1       2     6
#>  8 D410  1978-06-30 9084. 268012800 86400  1978     1978     1       2     6
#>  9 D410  1978-07-01 9081. 268099200 86400  1978     1978     2       3     7
#> 10 D410  1978-07-02 9047. 268185600 86400  1978     1978     2       3     7
#> # … with 17,568 more rows, and 21 more variables: month.xts <int>,
#> #   month.lbl <ord>, day <int>, hour <int>, minute <int>, second <int>,
#> #   hour12 <int>, am.pm <int>, wday <int>, wday.xts <int>, wday.lbl <ord>,
#> #   mday <int>, qday <int>, yday <int>, mweek <int>, week <int>,
#> #   week.iso <int>, week2 <int>, week3 <int>, week4 <int>, mday7 <int>

Here is a simple example of using the plt_gartner_magic_chart() function:

suppressPackageStartupMessages(library(healthyR))
suppressPackageStartupMessages(library(tibble))
suppressPackageStartupMessages(library(dplyr))

gartner_magic_chart_plt(
  .data = tibble(x = rnorm(100, 0, 1), y = rnorm(100, 0, 1))
  , .x_col = x
  , .y_col = y
  , .y_lab = "los"
  , .x_lab = "RA"
  , .plt_title = "Test Title"
  , .tl_lbl = "Top Left lbl"
  , .tr_lbl = "Top Right lbl"
  , .bl_lbl = "Bottom Left lbl"
  , .br_lbl = "Bottom Right lbl"
)