Tidies sample names and parses an experimental design.

Usage

prepare_diann_data(pg_matrix, pr_matrix, no_samples = NULL)

Arguments

pg_matrix: The report.pg_matrix file
pr_matrix: The report.pr_matrix file
no_samples: Optional numeric value specifying the number of samples. If not provided, a educated guess will be made.

Value

A list with a tidied pg_matrix, pr_matrix, and parsed expDesign.

Details

This functions tidies sample names and prepares and experimental design, assuming that the structure of the sample names is <prefix_condition_replicate>. An example of the prepared sample names and expDesign is printed in the console.

Examples

tidy_data <- prepare_diann_data(report.pg_matrix, report.pr_matrix)
#> Warning: no non-missing arguments to max; returning -Inf
#> Warning: number of items to replace is not a multiple of replacement length
#>                 label condition replicate
#> neg_ctrl_3 neg_ctrl_3  neg_ctrl         3
#> motif1_1     motif1_1    motif1         1
#> motif1_2     motif1_2    motif1         2
#> motif1_3     motif1_3    motif1         3
#> motif2_1     motif2_1    motif2         1
#> motif2_2     motif2_2    motif2         2
#> motif2_3     motif2_3    motif2         3
pg_matrix <- tidy_data$pg_matrix
pr_matrix <- tidy_data$pr_matrix