origami_plot_weighted {OrigamiPlot}

Function to generate weighted origami plot

Description

Function to generate weighted origami plot

Usage

origami_plot_weighted(
  df,
  weight,
  pcol,
  pfcol = NULL,
  pcol2 = rgb(0.6, 0.3, 0.3, 1),
  pfcol2 = NULL,
  axistype = 0,
  seg = 4,
  pty = 16,
  plty = 1:6,
  plwd = 1,
  pdensity = NULL,
  pangle = 45,
  cglty = 1.4,
  cglwd = 0.1,
  cglcol = "#000000",
  axislabcol = "#808080",
  title = "",
  na.itp = TRUE,
  centerzero = FALSE,
  vlabels = NULL,
  vlcex = 1,
  caxislabels = seq(0, 1, by = 0.25),
  calcex = NULL,
  paxislabels = NULL,
  palcex = NULL
)

Arguments

df

dataset processed with data_preparation or in the designated form

weight

weight of each variable, sum up to 1

pcol

color of the line of the original polygon

pfcol

color to fill the area of the original polygon, default is NULL.

pcol2

color of the line of the weighted polygon, default is rgb(0.6,0.3,0.3,1).

pfcol2

color to fill the area of the weighted polygon, default is NULL.

axistype

type of axes. 0:no axis label. 1:center axis label only. 2:around-the-chart label only. 3:both center and around-the-chart labels. Default is 0.

seg

number of segments for each axis, default is 4.

pty

point symbol, default is 16. 32 means not printing the points.

plty

line types for plot data, default is 1:6

plwd

line widths for plot data, default is 1

pdensity

filling density of polygons, default is NULL

pangle

angles of lines used as filling polygons, default is 45

cglty

line type for radar grids, default is 1.4

cglwd

line width for radar grids, default is 0.1

cglcol

line color for radar grids, default is #000000

axislabcol

color of axis label and numbers, default is #808080

title

title of the chart, default is blank

na.itp

logical. If true, items with NA values are interpolated from nearest neighbor items and connect them. If false, items with NA are treated as the origin. Default is TRUE.

centerzero

logical. If true, this function draws charts with scaling originated from (0,0). If false, charts originated from (1/segments). Default is TRUE.

vlabels

character vector for the names for variables, default is NULL

vlcex

font size magnification for vlabels, default is 1

caxislabels

center axis labels, default is seq(0,1,by = 0.25)

calcex

font size magnification for caxislabels, default is NULL

paxislabels

around-the-chart labels, default is NULL

palcex

font size magnification for paxislabels, default is NULL

Details

This function allows the creation of an origami plot with user-specified weights for different outcomes. The weighted origami plot is a refined analytical tool that facilitates the adjustment of individual attribute weights to accurately reflect their significance in determining overall performance. For instance, if certain outcomes hold greater clinical relevance based on a scientific question, the user can assign higher weights to these outcomes relative to others. Note that the weights assigned should sum up to 1.

Value

No return value, called for visualization

Examples

data(sucra)
df_list <- data_preparation(sucra, min_value = 0.15)
origami_plot_weighted(df = df_list[[6]], weight = c(0.15,0.25,0.3,0.2,0.1),
pcol = rgb(0.2,0.5,0.5,1), pfcol = rgb(0.2,0.5,0.5,0.1),axistype=1)