`tst`

is an R package for building timestamped suffix trees (TSTs). TSTs
are suffix trees that store
timestamps for each state transition in the training sequence(s). Given
a sequence of consecutive symbols, the TST can efficiently return the
timepoints when this sequence occurred in the training data, the symbols
that followed this sequence in the training data, and the timepoints
when these continuation symbols were
observed.

```
install.packages("devtools") # if you don't have devtools already installed
devtools::install_github("pmcharrison/tst")
```

```
library(tst)
# Build and visualize a simple suffix tree
t <- new_tree()
add_seq(t, c("a", "b", "c", "a", "b"))
#> A temporal suffix tree
#> - number of stored symbols (inc. terminals) = 6
#> - order bound = none
#> - active order = 6
plot(t)
```

```
# Incrementally visualize the building of a suffix tree
t <- new_tree()
add_seq(t, c("a", "b", "c", "a", "b"), visual = TRUE)
#> Press enter to continue:
#> Press enter to continue:
#> Press enter to continue:
#> Press enter to continue:
#> Press enter to continue:
#> A temporal suffix tree
#> - number of stored symbols (inc. terminals) = 6
#> - order bound = none
#> - active order = 6
# Search for n-grams
when_ngram(t, c("a", "b"))
#> # A tibble: 2 x 2
#> pos time
#> <int> <dbl>
#> 1 2 1
#> 2 5 4
count_ngram(t, c("a", "b"))
#> [1] 2
```

pmcharrison/suffixTree documentation built on May 3, 2019, 11:52 p.m.

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