remove_missing_values: Remove Missing Values
Description
Account for missing values by dropping features, samples or using
imputation.
Usage
remove_missing_values(
tomic,
value_var = NULL,
missing_val_method = "drop_samples",
missing_value_types = c("NA", "NaN", "Inf"),
verbose = FALSE
)Value
A tomic object where missing values have been accounted
for.
Arguments
- tomic
Either a tidy_omic or triple_omic object
- value_var
An abundance value to use with hclust
- missing_val_method
Approach to remove missing values:
- drop_features
Drop features with missing values
- drop_samples
Drop samples which are missing all features,
then drop features
- impute
Impute missing values
missing_value_types
Types of values to treat as missing. One or more
of "NA", "NaN" and "Inf"
verbose
extra reporting messages
Examples
Run this coderemove_missing_values(brauer_2008_triple)
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