Differential Metabolite analysis by limma

Usage

mlimma(object, group)

Arguments

object: object A dataframe-like data object containing raw metabolite intensity values, with rows corresponding to metabolites, and the columns corresponding to the samples
group: the data's group

Value

A dataframe is same with limma's result

Examples

result <- mlimma(meta_dat, group)
result
#> # A tibble: 219 × 8
#>    logFC AveExpr     t  P.Value    adj.P.Val     B  logP name  
#>    <dbl>   <dbl> <dbl>    <dbl>        <dbl> <dbl> <dbl> <chr> 
#>  1  2.86    22.6  9.25 1.52e-10 0.0000000332 14.1   7.48 C02045
#>  2  2.44    26.2  7.80 6.83e- 9 0.000000748  10.4   6.13 C00267
#>  3 -1.82    27.1 -6.80 1.10e- 7 0.00000622    7.64  5.21 C00073
#>  4 -3.78    20.9 -6.79 1.14e- 7 0.00000622    7.61  5.21 C05674
#>  5 -2.20    21.4 -6.58 2.07e- 7 0.00000907    7.02  5.04 C00255
#>  6 -2.37    21.6 -6.45 2.98e- 7 0.0000109     6.66  4.96 C00242
#>  7 -3.00    22.1 -6.33 4.25e- 7 0.0000133     6.31  4.88 C02985
#>  8 -2.80    22.0 -6.28 4.91e- 7 0.0000134     6.17  4.87 C03413
#>  9 -3.11    26.7 -6.15 7.01e- 7 0.0000170     5.82  4.77 C00106
#> 10 -6.77    17.1 -6.06 9.17e- 7 0.0000191     5.55  4.72 C00010
#> # ℹ 209 more rows