Impute missing values by replacing them with the lowest observed intensity (global)

Replace missing intensity values (NA) with the lowest observed intensity.

Usage

impute_global_lowest(data)

Arguments

data

A tidy tibble created by read_featuretable.

Value

A tibble with imputed missing values.

Examples

toy_metaboscape %>%
  impute_global_lowest()
#> # A tibble: 110 × 8
#>      UID Feature                Sample  Intensity    RT `m/z` Name       Formula
#>    <int> <chr>                  <chr>       <dbl> <dbl> <dbl> <chr>      <chr>  
#>  1     1 161.10519 Da 26.98 s   Sample1         4  0.45  162. NA         C7H15N…
#>  2     2 276.13647 Da 27.28 s   Sample1         3  0.45  277. Octyl hyd… C16H22…
#>  3     3 304.24023 Da 32.86 s   Sample1         1  0.55  305. Arachidon… C20H32…
#>  4     4 417.23236 Da 60.08 s   Sample1         5  1     418. NA         NA     
#>  5     5 104.10753 Da 170.31 s  Sample1         5  2.84  105. NA         C5H14NO
#>  6     6 105.04259 Da 199.80 s  Sample1         5  3.33  106. NA         C3H8NO3
#>  7     7 237.09204 Da 313.24 s  Sample1         1  5.22  238. Ketamine   C13H16…
#>  8     8 745.09111 Da 382.23 s  Sample1         3  6.37  746. NADPH      C21H30…
#>  9     9 427.02942 Da 424.84 s  Sample1         4  7.08  428. ADP        C10H15…
#> 10    10 1284.34904 Da 498.94 s Sample1         1  8.32 1285. NA         NA     
#> # ℹ 100 more rows