OlinkAnalyze (version 4.2.0)

olink_norm_input_validate: Validate inputs of normalization function

Description

This function takes as input some of the inputs of the Olink normalization function and checks the validity of the input.

Usage

olink_norm_input_validate(
  df1,
  df2,
  overlapping_samples_df1,
  overlapping_samples_df2,
  reference_medians
)

Value

Scalar character from olink_norm_modes if normalization can be determined from the input, otherwise see details.

Arguments

df1

First dataset to be used in normalization (required).

df2

Second dataset to be used in normalization.

overlapping_samples_df1

Samples to be used for adjustment factor calculation in df1 (required).

overlapping_samples_df2

Samples to be used for adjustment factor calculation in df2.

reference_medians

Dataset with columns "OlinkID" and "Reference_NPX". Used for reference median normalization.

Author

Klev Diamanti

Details

Depending on the input the function will return:

• Error: if the required components are lacking from the input or if the normalization cannot be performed.

• Warning: if the normalization can be determined but extra inputs are provided. This will be followed by a message and the type of normalization to be performed.

• Message: Information about the type of normalization to be performed.

Note that input are passed directly from the main olink_normalization function.