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Plot coefficient of variation (CV)

Source: R/plot_cv.R
plot_cv.Rd

Plot the distribution of coefficient of variation (CV) for each feature with replicates. The CV is calculated as the standard deviation divided by the mean of the abundance values.

Usage

plot_cv(se_obj, fontsize = 8)

Arguments

se_obj

A SummarizedExperiment object, produced by create_input() function, containing the abundance data and associated sample information.

fontsize

(Optional) An integer specifying the font size for the plot (default is 8).

Value

A plot showing the distribution of coefficient of variation (CV) for each feature, grouped by Time and Group. If there are no replicates, a message will be printed indicating that CV cannot be calculated.

Examples

data("example")
plot_cv(example_obj)
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: no non-missing arguments to min; returning Inf
#> Warning: no non-missing arguments to max; returning -Inf