README.md

dataxray

An interactive table interface for data summaries

Install package from GitHub with:

# install.packages("devtools")
devtools::install_github("agstn/dataxray")

Report Xray

Example using ggplot2 diamonds data

library(dataxray)

diamonds <- diamonds %>% 
  mutate(price = structure(price, label = 'price in US dollars'),
         carat = structure(carat, label = 'weight of the diamond'),
         cut = structure(cut, label = 'quality of the cut (Fair, Good, Very Good, Premium, Ideal)'),
         color = structure(color, label = 'diamond colour, from D (best) to J (worst)'),
         clarity = structure(clarity, label = 'a measurement of how clear the diamond is 
                                               (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))'),
         x = structure(x, label = 'length in mm'),
         y = structure(y, label = 'width in mm'),
         z = structure(z, label = 'depth in mm'),
         depth = structure(depth, label = 'total depth percentage = z / mean(x, y) = 2 * z / (x + y)'),
         table = structure(table, label = 'width of top of diamond relative to widest point'))

diamonds %>% 
  report_xray(data_name = 'Diamonds', study = 'ggplot2')

View Xray

RStudio IDE Viewer pane

library(dataxray)

diamonds %>% 
   make_xray() %>% 
   view_xray()


agstn/dataxray documentation built on Oct. 16, 2023, 11:16 p.m.