View source: R/plotcor_function.R
plot_cor | R Documentation |
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"
)
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 |
The function returns a graph for correlation
Gabriel Danilo Shimizu, shimizu@uel.br
Leandro Simoes Azeredo Goncalves
Rodrigo Yudi Palhaci Marubayashi
data("pomegranate")
with(pomegranate, plot_cor(WL, SS, xlab="WL", ylab="SS"))
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