OlinkAnalyze (version 4.2.0)

olink_norm_input_check_df_cols: Check columns of a list of datasets to be normalized.

Description

This function takes as input a named list of datasets and checks if their columns allow the normalization to be performed. The input may contain "tibble", "ArrowTable" or a mixture of them.

Usage

olink_norm_input_check_df_cols(lst_df)

Value

Named list of vectors with the required column names for each dataset in lst_df if no error.

Arguments

lst_df

Named list of datasets to be normalized.

Author

Klev Diamanti

Examples

# \donttest{
# One dataset
OlinkAnalyze:::olink_norm_input_check_df_cols(
  lst_df = list(
    "p1" = npx_data1
  ) |>
    lapply(function(l_df) {
      l_df |>
        dplyr::select(
          -dplyr::any_of(c("Normalization"))
        )
     })
  )

# Two datasets
OlinkAnalyze:::olink_norm_input_check_df_cols(
  lst_df = list(
    "p1" = npx_data1,
    "p2" = npx_data2
  ) |>
    lapply(function(l_df) {
      l_df |>
        dplyr::select(
          -dplyr::any_of(c("Normalization"))
        )
     })
  )

# Multiple datasets
OlinkAnalyze:::olink_norm_input_check_df_cols(
  lst_df = list(
    "p1" = npx_data1,
    "p2" = npx_data2,
    "p3" = npx_data1,
    "p4" = npx_data2
  ) |>
    lapply(function(l_df) {
      l_df |>
        dplyr::select(
          -dplyr::any_of(c("Normalization"))
        )
     })
  )
# }