impute_mean: Impute missing values by replacing them with the Feature mean
In metamorphr: Tidy and Streamlined Metabolomics Data Workflows
impute_mean R Documentation
Impute missing values by replacing them with the Feature mean
Description
Replace missing intensity values (NA) with the Feature mean of non-NA values. For example, if a Feature has the measured intensities NA, 1, NA, 3, 2 in samples 1-5,
the intensities after impute_mean() would be 2, 1, 2, 3, 2.
Usage
impute_mean(data)
Arguments
data
A tidy tibble created by read_featuretable.
Value
A tibble with imputed missing values.
Examples
toy_metaboscape %>%
impute_mean()
metamorphr documentation built on June 10, 2026, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| impute_mean | R Documentation |
Impute missing values by replacing them with the Feature mean
Description
Replace missing intensity values (NA) with the Feature mean of non-NA values. For example, if a Feature has the measured intensities NA, 1, NA, 3, 2 in samples 1-5,
the intensities after impute_mean() would be 2, 1, 2, 3, 2.
Usage
impute_mean(data)
Arguments
data |
A tidy tibble created by |
Value
A tibble with imputed missing values.
Examples
toy_metaboscape %>%
impute_mean()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.