cca_heatmap: Plots the cca heatmap

In thdiakon/ccaR: Calculates the Corrected Covered Area Index and Creates a Heatmap

Plots the cca heatmap

Description

This function plots the cca heatmap. The tiles within the upper triangular matrix contain color-coded data that demonstrate the degree of overlap between pairs of reviews using the corrected covered area (CCA) measure. It is taking as input the citation matrix, the font size of the text in the tiles and the color used in the heatmap.

Usage

cca_heatmap(
  cm,
  fontsize = 5,
  fontsize_diag = 4,
  chroma = "#527e11",
  decimal_digits = 1
)

Arguments

cm	Defines the data frame containing 1s, 0s, and NAs (in case of structural missingness).
fontsize	Defines the size of the font in the tiles. Default is fontsize=5.
fontsize_diag	Defines the size of the font in the diagonal grey tiles. Default is fontsize_diag=4.
chroma	Defines the color of the plot. Default is chroma="#527e11".
decimal_digits	Defines the number of digits in the tiles. Default is decimal_digits=1 and it can also be set as 0.

Value

cca_heatmap

Examples

DATASET<-readxl::read_excel(system.file('extdata','cca.xlsx', package = 'ccaR'))


cca_heatmap(DATASET, 3) +
    ggplot2::theme(
        plot.caption = ggplot2::element_text(size = 16, margin=ggplot2::margin(30,0,0,0)),
        legend.title = ggplot2::element_text(size = 16, face = "bold", vjust=4),
        legend.text = ggplot2::element_text(size = 16),
        legend.key.size = ggplot2::unit(1.0, "cm"),
        legend.title.align = 0.5,
        legend.text.align = 0.5,
        axis.text.x=ggplot2::element_text(size = 16),
        axis.text.y=ggplot2::element_text(size = 16),
        axis.title=ggplot2::element_blank(),
        axis.ticks=ggplot2::element_blank(),
        axis.line=ggplot2::element_blank(),
        panel.border=ggplot2::element_blank(),
        panel.grid.major.x=ggplot2::element_line(colour = "grey80", linetype = "dashed"))

thdiakon/ccaR documentation built on Sept. 4, 2022, 10:54 p.m.