powered by
amanida_read imports the data and formats for compute_amanida or amanida_vote functions
amanida_read
compute_amanida
amanida_vote
amanida_read(file, mode, coln, separator = NULL)
tibble table with data imported
path to file
indicate if data will be quantitative or qualitative. Options are:
"quan" for quantitative meta-analysis using p-value and fold-change
"qual" for qualitative meta-analysis using trend label
columns names to use. It has to be in order identification, p-values, fold-changes, sample size and reference.
the separator used on file
Note that amanida_read skips rows with missing values or NA. Negatives values for fold-change are transformed to positive (1/value).
Formats compatible are csv, xlsx, xls or txt.
coln <- c("Compound Name", "P-value", "Fold-change", "N total", "References") input_file <- getsampleDB() datafile <- amanida_read(input_file, mode = "quan", coln, separator=";")
Run the code above in your browser using DataLab