lm_eq: Quick plot + contrast hypothesis test to compare two...
In MoisesExpositoAlonso/moiR: A set of R functions for an easy life and analyses
Description
Usage
Arguments
Value
Description
Quick plot + contrast hypothesis test to compare two populations
Usage
1
lm_eq(y, x)
Arguments
y
a numeric vector of group 1
x
a numeric vector of group 2
method
string, either t.student (parametric) or wilcox.test (nonparametric)
title
string with the name of the plot
wantpoints
Logical FALSE/TRUE to determine whether points will be overplotted
wantviolin
Logical FALSE/TRUE to determine whether you want a violine plot in the background
The
colors of the two groups. Default c("darkorchid4","aquamarine4")
Value
Prints a plot with the given test p-value. If title is provided, it prints into a pdf.
MoisesExpositoAlonso/moiR documentation built on Dec. 24, 2021, 10:12 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Quick plot + contrast hypothesis test to compare two populations
Usage
1 | lm_eq(y, x)
|
Arguments
y |
a numeric vector of group 1 |
x |
a numeric vector of group 2 |
method |
string, either t.student (parametric) or wilcox.test (nonparametric) |
title |
string with the name of the plot |
wantpoints |
Logical FALSE/TRUE to determine whether points will be overplotted |
wantviolin |
Logical FALSE/TRUE to determine whether you want a violine plot in the background |
The |
colors of the two groups. Default c("darkorchid4","aquamarine4") |
Value
Prints a plot with the given test p-value. If title is provided, it prints into a pdf.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.