routineness_metric: Computes a metric of routineness based on frequency of ngrams
In ThreadNet/ThreadNet: ThreadNet
Description
Usage
Arguments
Value
View source: R/ThreadNet_Metrics.R
Description
Computes the fraction of observed behavior that conforms to an observed pattern.
Current version uses ngrams, but it would be good to use spmf pattern mining to avoid including duplicate patterns (e.g., a-b-c and b-c-d)
Usage
1
routineness_metric(o, TN, CF, n, m)
Arguments
o
data frame with occurresnces or events
TN
name of column with threadNumbers
CF
name of column with contextual factor
n
size of ngram
m
how many of the most frequent ngrams to include. When m > 1, there is a risk of duplication.
Value
number, index of routineness.
ThreadNet/ThreadNet documentation built on July 26, 2019, 8:16 p.m.
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Description Usage Arguments Value
View source: R/ThreadNet_Metrics.R
Description
Computes the fraction of observed behavior that conforms to an observed pattern. Current version uses ngrams, but it would be good to use spmf pattern mining to avoid including duplicate patterns (e.g., a-b-c and b-c-d)
Usage
1 | routineness_metric(o, TN, CF, n, m)
|
Arguments
o |
data frame with occurresnces or events |
TN |
name of column with threadNumbers |
CF |
name of column with contextual factor |
n |
size of ngram |
m |
how many of the most frequent ngrams to include. When m > 1, there is a risk of duplication. |
Value
number, index of routineness.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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