Convert data into presence/absence data.
convert2presenceAbsence(df, threshold = 2, col2convert = 2:ncol(df))The dataframe containing the data to convert.
The threshold that defines presence (presence if >= threshold)
A vector of the columns to convert. Default is all the columns but the first, which contains an age, a depth or a sampleID.
A vector of unique taxonIDs.
df <- data.frame(matrix(1:25, ncol = 5))
colnames(df) <- paste(rep("col", 5), 1:5, sep = "")
convert2presenceAbsence(df, threshold = 15)
#> col1 col2 col3 col4 col5
#> 1 1 0 0 1 1
#> 2 2 0 0 1 1
#> 3 3 0 0 1 1
#> 4 4 0 0 1 1
#> 5 5 0 1 1 1
convert2presenceAbsence(df, col2convert = 3:5)
#> col1 col2 col3 col4 col5
#> 1 1 6 1 1 1
#> 2 2 7 1 1 1
#> 3 3 8 1 1 1
#> 4 4 9 1 1 1
#> 5 5 10 1 1 1