easynem (version 1.0.3)

nem_plot,lme-method: Visualizing the results of linear regression (single factor)

Description

The nem_plot function is generalized to the lme-class and is used to visualize the results of linear regression.

Usage

# S4 method for lme
nem_plot(object, ...)

Value

An gg or ggplot object.

Arguments

object

A lme-class object.

...

Other parameters of stat_cor function.

Details

To facilitate code interpretation, it is recommended to use the pipe symbol |> to connect functions:

nem_plot <- nem |> calc_lm(Treatments, Chao1, TotalBiomass) |> nem_plot()

See Also

The nem_plot() is used to visualize the calculation results and is a generalized function for multiple classes including beta-class, beta2-class, compare-class, compare2-class, ef-class, ef2-class, funguild-class, funguild2-class, mf-class, mf2-class, ter-class, ter2-class, etc.

Examples

nem <- read_nem2(tab = nemtab, tax = nemtax, meta = nemmeta)
nem_plot <- nem |>
            calc_alpha() |>
            calc_nemindex() |>
            calc_lm(group = Treatments,
                    x = Chao1,
                    y = TotalBiomass) |>
            nem_plot()
nem_plot