R/data.R

In Ashish-Soni08/ggradialbar: A ‘ggplot2’ Radial Bar Chart Extensions for Visualizing High-dimensional Clusters and Their Evolution

#' A tibble with 170,000 observations and 7 variables
#'
#'
#' A transformed dataset - it is a combination of two tibbles,
#' now it is in long format and contains 7 variables of almost 170,000 observations with names of variable(in original data)
#' in "feature" column and values of those variables in "value" column.
#' The original datasets : one was a tibble of 81 variables with 2217 observations
#' and the second was a tibble of 3 variables with 77 observations.
#'
#' @format A "tibble" with 170,677 rows and 7 variables.
#' \describe{
#'   \item{.id}{id of instance (patient)}
#'   \item{.phase}{the time point of the recording. There are two unique time points, `"T0"` and `"T1"`
#'    By default, the barchart summarizes the clusters at `"T0"`
#'    Note - that some of the instances don't have data for `"T1" and
#'    Columns whose names start with a dot (`.`) are not shown in the visualization}
#'   \item{.cluster}{ the cluster id}
#'   \item{feature}{the name of the feature in `data`}
#'   \item{value}{the value of specific feature}
#'   \item{.gr_id}{ id of feature group}
#'   \item{.gr_name}{feature group name. The group name is shown in the inner circle of the radial barchart}
#' }
"tidy_data"