knitr::opts_chunk$set(echo = FALSE)
Algorithms being compared are r formatted1_pars$algo
and r formatted2_pars$algo
.
The parameters set for each algorithm are as follows:
r formatted1_pars$algo
: k = r formatted1_pars$k
with the r formatted1_pars$pattern
filter pattern being used at the threshold of r formatted1_pars$threshold * 100
%.r formatted2_pars$algo
: k = r formatted2_pars$k
with the r formatted2_pars$pattern
filter pattern being used at the threshold of r formatted2_pars$threshold * 100
%.The r formatted1_pars$algo
identified r dim(params$formatted1)[1]
clusters while the r formatted2_pars$algo
algorithm partitioned the data into the set r params$formatted2_pars$k
clusters. The largest r formatted1_pars$algo
cluster had r params$formatted1$n[[1]]
sequences which represents r params$formatted1$n_percent[[1]]
of all sequences within the data with the resulting r params$formatted1_pars$pattern
being r params$formatted1[1, c(4)]
. The largest r formatted2_pars$algo
cluster had r params$formatted2$n[[1]]
sequences which represents r params$formatted2$n_percent[[1]]
of all sequences within the data with the resulting r params$formatted2_pars$pattern
being r params$formatted2[1, c(4)]
.
Running the approxmapR algorithm on the consensus patterns produced by both algorithms using the following parameters:
r formatted3_pars$algo
: k = r formatted3_pars$k
with the r formatted3_pars$pattern
filter pattern being used at the threshold of r formatted3_pars$threshold * 100
%Resulted in the following:
#::kable(formatted3[, c(1,2,3,4)]) formatted3[, c(1,2,3,4)]
All exported files for the r formatted1_pars$algo
and r formatted2_pars$algo
, as well as for the comparison can be found r params$approxmapR_results
.
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