transform_data: Transform NA, Inf, or Zero Values in Data

In IOBR: Immune Oncology Biological Research

Transform NA, Inf, or Zero Values in Data

Description

Replaces NA, Inf, or zero values in specified columns of a data frame with a user-defined value or the column mean.

Usage

transform_data(data, feature, data_type = c("NA", "Inf", "zero"), into = 0)

Arguments

data	Data frame. Input data to be transformed.
feature	Character vector. Column names in 'data' to apply transformation.
data_type	Character. Type of value to replace: '"NA"', '"Inf"', or '"zero"'.
into	Value to replace specified type with. Default is 0. If '"mean"', replaces with column mean (excluding NA/Inf values as appropriate).

Value

Data frame with specified transformations applied to selected features.

Author(s)

Dongqiang Zeng

Examples

data_matrix <- data.frame(
  A = c(1, 2, NA, 4, Inf),
  B = c(Inf, 2, 3, 4, 5),
  C = c(0, 0, 0, 1, 2)
)

# Replace NAs with 0
transform_data(data_matrix, feature = c("A", "B"), data_type = "NA")

# Replace Inf values with the mean of the column
transform_data(data_matrix,
  feature = c("A", "B"),
  data_type = "Inf", into = "mean"
)

# Replace zeros with -1 in column C
transform_data(data_matrix, feature = "C", data_type = "zero", into = -1)

IOBR documentation built on May 30, 2026, 5:07 p.m.