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Calculate feature relative standard deviations

Source: R/rsd.R
rsd.Rd

Calculate relative standard deviation (RSD) percentage values for each feature per class for a given sample information column.

Usage

rsd(x, cls = "class")

# S4 method for AnalysisData
rsd(x, cls = "class")

Arguments

x

S4 object of class AnalysisData

cls

sample information column to use for class structure

Value

A tibble containing the computed RSD values.

Examples

library(metaboData)

d <- analysisData(abr1$neg[,200:300],abr1$fact)

rsd(d,cls = 'day')
#> # A tibble: 606 × 5
#>    day   Feature   Mean    SD   RSD
#>    <fct> <chr>    <dbl> <dbl> <dbl>
#>  1 1     N200    0.224  1.00  447. 
#>  2 1     N201    0.228  0.946 415. 
#>  3 1     N202    0.0538 0.151 280. 
#>  4 1     N203    1.34   1.03   76.5
#>  5 1     N204    0.0833 0.202 242. 
#>  6 1     N205    1.55   2.29  148. 
#>  7 1     N206    0.112  0.360 320. 
#>  8 1     N207    0.220  0.396 180. 
#>  9 1     N208    0.124  0.225 182. 
#> 10 1     N209    1.37   2.03  148. 
#> # ℹ 596 more rows