olink_norm_input_validate {OlinkAnalyze} | R Documentation |
This function takes as input some of the inputs of the Olink normalization function and checks the validity of the input.
olink_norm_input_validate(
df1,
df2,
overlapping_samples_df1,
overlapping_samples_df2,
reference_medians
)
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. |
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.
Scalar character from olink_norm_modes if normalization can be determined from the input, otherwise see details.
Klev Diamanti