
Normalize intensities across samples using a normalization factor
Source:R/normalize.R
normalize_factor.Rd
Normalization is done by dividing the intensity by a sample-specific factor (e.g., weight, protein or DNA content).
This function requires a sample-specific factor, usually supplied via the Factor
column from the sample metadata.
See the Examples section for details.
Arguments
- data
A tidy tibble created by
read_featuretable
.- factor_column
Which column contains the sample-specific factor? Usually
factor_column = Factor
. Usesargs_data_masking
.
Examples
toy_metaboscape %>%
join_metadata(toy_metaboscape_metadata) %>%
normalize_factor()
#> # A tibble: 110 × 12
#> UID Feature Sample Intensity RT `m/z` Name Formula Group Replicate
#> <int> <chr> <chr> <dbl> <dbl> <dbl> <chr> <chr> <chr> <int>
#> 1 1 161.10519 D… Sampl… 4.66 0.45 162. NA C7H15N… cont… 1
#> 2 2 276.13647 D… Sampl… 3.50 0.45 277. Octy… C16H22… cont… 1
#> 3 3 304.24023 D… Sampl… NA 0.55 305. Arac… C20H32… cont… 1
#> 4 4 417.23236 D… Sampl… 5.83 1 418. NA NA cont… 1
#> 5 5 104.10753 D… Sampl… 5.83 2.84 105. NA C5H14NO cont… 1
#> 6 6 105.04259 D… Sampl… 5.83 3.33 106. NA C3H8NO3 cont… 1
#> 7 7 237.09204 D… Sampl… NA 5.22 238. Keta… C13H16… cont… 1
#> 8 8 745.09111 D… Sampl… 3.50 6.37 746. NADPH C21H30… cont… 1
#> 9 9 427.02942 D… Sampl… 4.66 7.08 428. ADP C10H15… cont… 1
#> 10 10 1284.34904 … Sampl… NA 8.32 1285. NA NA cont… 1
#> # ℹ 100 more rows
#> # ℹ 2 more variables: Batch <int>, Factor <dbl>