Apply Log Transformation to All Columns of Data Frame in R (Example Code)
This tutorial demonstrates how to apply a log transformation to all columns of a data frame in R.
Creation of Example Data
data(iris) # Load and manipulat example data iris_num <- iris[ , 1:4] head(iris_num) # Sepal.Length Sepal.Width Petal.Length Petal.Width # 1 5.1 3.5 1.4 0.2 # 2 4.9 3.0 1.4 0.2 # 3 4.7 3.2 1.3 0.2 # 4 4.6 3.1 1.5 0.2 # 5 5.0 3.6 1.4 0.2 # 6 5.4 3.9 1.7 0.4 |
data(iris) # Load and manipulat example data iris_num <- iris[ , 1:4] head(iris_num) # Sepal.Length Sepal.Width Petal.Length Petal.Width # 1 5.1 3.5 1.4 0.2 # 2 4.9 3.0 1.4 0.2 # 3 4.7 3.2 1.3 0.2 # 4 4.6 3.1 1.5 0.2 # 5 5.0 3.6 1.4 0.2 # 6 5.4 3.9 1.7 0.4
Example: Log Transformation of All Cells in Data Frame
iris_num_log <- log(iris_num) # Apply log() function head(iris_num_log) # Sepal.Length Sepal.Width Petal.Length Petal.Width # 1 1.629241 1.252763 0.3364722 -1.6094379 # 2 1.589235 1.098612 0.3364722 -1.6094379 # 3 1.547563 1.163151 0.2623643 -1.6094379 # 4 1.526056 1.131402 0.4054651 -1.6094379 # 5 1.609438 1.280934 0.3364722 -1.6094379 # 6 1.686399 1.360977 0.5306283 -0.9162907 |
iris_num_log <- log(iris_num) # Apply log() function head(iris_num_log) # Sepal.Length Sepal.Width Petal.Length Petal.Width # 1 1.629241 1.252763 0.3364722 -1.6094379 # 2 1.589235 1.098612 0.3364722 -1.6094379 # 3 1.547563 1.163151 0.2623643 -1.6094379 # 4 1.526056 1.131402 0.4054651 -1.6094379 # 5 1.609438 1.280934 0.3364722 -1.6094379 # 6 1.686399 1.360977 0.5306283 -0.9162907