gartner_magic_chart_plt {healthyR}

Gartner Magic Chart - Plotting of two continuous variables

Description

Plot a Gartner Magic Chart of two continuous variables.

Usage

gartner_magic_chart_plt(
  .data,
  .x_col,
  .y_col,
  .point_size_col = NULL,
  .y_lab = "",
  .x_lab = "",
  .plot_title = "",
  .top_left_label = "",
  .top_right_label = "",
  .bottom_right_label = "",
  .bottom_left_label = ""
)

Arguments

.data

The dataset you want to plot.

.x_col

The x-axis for the plot.

.y_col

The y-axis for the plot.

.point_size_col

The default is NULL. If you want to size the dots by a column in the data frame/tibble, enter the column name here.

.y_lab

The y-axis label (default: "").

.x_lab

The x-axis label (default: "").

.plot_title

The title of the plot (default: "").

.top_left_label

The top left label (default: "").

.top_right_label

The top right label (default: "").

.bottom_right_label

The bottom right label (default: "").

.bottom_left_label

The bottom left label (default: "").

Value

A ggplot plot.

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Plotting Functions: diverging_bar_plt(), diverging_lollipop_plt(), los_ra_index_plt(), ts_alos_plt(), ts_median_excess_plt(), ts_plt(), ts_readmit_rate_plt()

Examples

library(dplyr)
library(ggplot2)

data_tbl <- tibble(
  x = rnorm(100, 0, 1),
  y = rnorm(100, 0, 1),
  z = abs(x) + abs(y)
)

gartner_magic_chart_plt(
  .data = data_tbl,
  .x_col = x,
  .y_col = y,
  .point_size_col = z,
  .x_lab = "los",
  .y_lab = "ra",
  .plot_title = "tst",
  .top_right_label = "High RA-LOS",
  .top_left_label = "High RA",
  .bottom_left_label = "Leader",
  .bottom_right_label = "High LOS"
)

gartner_magic_chart_plt(
  .data = data_tbl,
  .x_col = x,
  .y_col = y,
  .point_size_col = NULL,
  .x_lab = "los",
  .y_lab = "ra",
  .plot_title = "tst",
  .top_right_label = "High RA-LOS",
  .top_left_label = "High RA",
  .bottom_left_label = "Leader",
  .bottom_right_label = "High LOS"
)