Graph: Plot correlation — plot

Correlation analysis function (Pearson or Spearman)

plot_cor(
  x,
  y,
  method = "pearson",
  ylab = "Dependent",
  xlab = "Independent",
  theme = theme_classic(),
  pointsize = 5,
  shape = 21,
  fill = "gray",
  color = "black",
  axis.size = 12,
  ic = TRUE,
  title = NA,
  family = "sans"
)

Arguments

x: Numeric vector with independent variable
y: Numeric vector with dependent variable
method: Method correlation (default is Pearson)
ylab: Variable response name (Accepts the expression() function)
xlab: Treatments name (Accepts the expression() function)
theme: ggplot2 theme (default is theme_classic())
pointsize: Point size
shape: shape format
fill: Fill point
color: Color point
axis.size: Axis text size
ic: add interval of confidence
title: title
family: Font family

Value

The function returns a graph for correlation

Author

Gabriel Danilo Shimizu, shimizu@uel.br

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

Examples

data("pomegranate")
with(pomegranate, plot_cor(WL, SS, xlab="WL", ylab="SS"))
#> `geom_smooth()` using formula = 'y ~ x'