olink_norm_input_check_df_cols {OlinkAnalyze} | R Documentation |
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)
Arguments
lst_df |
Named list of datasets to be normalized. |
Value
Named list of vectors with the required column names for each dataset in lst_df if no error.
Author(s)
Klev Diamanti
Examples
# 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"))
)
})
)
[Package OlinkAnalyze version 4.3.0 Index]