plot.corr_coef function

Create a correlation heat map

Create a correlation heat map for object of class corr_coef

## S3 method for class 'corr_coef'
plot(
  x,
  type = "lower",
  diag = FALSE,
  reorder = TRUE,
  signif = c("stars", "pval"),
  show = c("all", "signif"),
  p_val = 0.05,
  caption = TRUE,
  digits.cor = 2,
  digits.pval = 3,
  col.low = "red",
  col.mid = "white",
  col.high = "blue",
  lab.x.position = NULL,
  lab.y.position = NULL,
  legend.position = NULL,
  legend.title = "Pearson's\nCorrelation",
  size.text.cor = 3,
  size.text.signif = 3,
  size.text.lab = 10,
  ...
)

Arguments

• x: The data set.

• type: The type of heat map to produce. Either lower (default) to produce a lower triangle heat map or upper to produce an upper triangular heat map.

• diag: Plot diagonal elements? Defaults to FALSE.

• reorder: Reorder the correlation matrix to identify the hidden pattern? Defaults to TRUE.

• signif: How to show significant correlations. If "stars" is used (default), stars are used showing the significance at 0.05 (""), 0.01 ("") and 0.001 ("") probability error. If signif = "pval", then the p-values are shown.

• show: The correlations to show. Either all (default) or signif

  (only significant correlations).

• p_val: The p-value to the correlation significance.

• caption: Logical. If TRUE (Default) includes a caption with the significance meaning for stars.

• digits.cor, digits.pval: The significant digits to show for correlations and p-values, respectively.

• col.low, col.mid, col.high: The color for the low (-1), mid(0) and high (1) points in the color key. Defaults to blue, white, and red, respectively.

• lab.x.position, lab.y.position: The position of the x and y axis label. Defaults to "bottom" and "right" if type = "lower" or "top" and "left" if type = "upper".

• legend.position: The legend position in the plot.

• legend.title: The title of the color key. Defaults to "Pearson's Correlation".

• size.text.cor: The size of the text for correlation values. Defaults to 3.

• size.text.signif: The size of the text for significance values (stars or p-values). Defaults to 3.

• size.text.lab: The size of the text for labels. Defaults to 10.

• ...: Currently not used.

Returns

An object of class gg, ggplot

Examples

library(metan)
# All numeric variables
x <- corr_coef(data_ge2)
plot(x)
plot(x, reorder = FALSE)

# Select variables
sel <- corr_coef(data_ge2, EP, EL, CD, CL)
plot(sel,
     type = "upper",
     reorder = FALSE,
     size.text.lab = 14,
     size.text.plot = 5)

Author(s)

Tiago Olivoto tiagoolivoto@gmail.com