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Gartner Magic Chart - Plotting of two continuous variables

Source: R/gartner_magic_chart.R
gartner_magic_chart_plt.Rd

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,
  .plt_title,
  .tl_lbl,
  .tr_lbl,
  .br_lbl,
  .bl_lbl
)

Arguments

.data

The data set 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 then enter the column name here.

.y_lab

The y-axis label

.x_lab

The x-axis label

.plt_title

The title of the plot

.tl_lbl

The top left label

.tr_lbl

The top right label

.br_lbl

The bottom right label

.bl_lbl

The bottom left label

Value

A ggplot plot

Details

  • Supply a data frame with at least two continuous variables to plot against each other

Author

Steven P. Sanderson II, MPH

Examples

library(dplyr)

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 = z,
  .x_lab = "los",
  .y_lab = "ra",
  .plt_title = "tst",
  .tr_lbl = "High RA-LOS",
  .tl_lbl = "High RA",
  .bl_lbl = "Leader",
  .br_lbl = "High LOS"
)


gartner_magic_chart_plt(
  .data = data_tbl,
  .x_col = x,
  .y_col = y,
  .point_size = NULL,
  .x_lab = "los",
  .y_lab = "ra",
  .plt_title = "tst",
  .tr_lbl = "High RA-LOS",
  .tl_lbl = "High RA",
  .bl_lbl = "Leader",
  .br_lbl = "High LOS"
)