plot_cor: Graph: Plot correlation

In AgronomiaR/AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Description

Correlation analysis function (Pearson or Spearman)

Usage

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(s)

Gabriel Danilo Shimizu, [e-mail]

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

Examples

data("pomegranate")
with(pomegranate, plot_cor(WL, SS, xlab="WL", ylab="SS"))

AgronomiaR/AgroR documentation built on Nov. 14, 2021, 12:10 a.m.