Summarize tested features
Builds a contingency table of the ngram counts versus their class labels.
1  table_ngrams(seq, ngrams, target)

seq 
vector or matrix describing sequence(s). 
ngrams 
vector of ngrams. 
target 

a data frame with the number of columns equal to the length of the
target
plus 1. The first column contains names of the ngrams. Further
columns represents counts of ngrams for respective value of the
target
.
1 2 3 4 5 6 7 8 9 10  seqs_pos < matrix(sample(c("a", "c", "g", "t"), 100, replace = TRUE,
prob = c(0.2, 0.4, 0.35, 0.05)), ncol = 5)
seqs_neg < matrix(sample(c("a", "c", "g", "t"), 100, replace = TRUE),
ncol = 5)
tab < table_ngrams(seq = rbind(seqs_pos, seqs_neg),
ngrams = c("1_c.t_0", "1_g.g_0", "2_t.c_0", "2_g.g_0", "3_c.c_0", "3_g.c_0"),
target = c(rep(1, 20), rep(0, 20)))
# see the results
print(tab)
# easily plot the results using ggplot2

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