ArtificialDistributionChange: An artificial dataset with sudden edge shift around at entry...
In MIDASwrappeR: Microcluster-Based Detector of Anomalies in Edge Streams
Description
Usage
Format
Source
References
Examples
Description
An artificial dataset with sudden edge shift around at entry 9.000
Usage
1
Format
A "data.frame" formatted for direct use within "getMIDASscore()"
Source
data.frame(src = rep(1,100000), dst = c(as.integer(rexp(n = 90000, rate = .65)) + 2, as.integer(abs(rnorm(10000, 8, .7))) + 1), times = unlist(lapply(c(1:1000), rep, times=100)))
References
None
Examples
1
2
MIDASwrappeR documentation built on April 14, 2020, 5:31 p.m.
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Description Usage Format Source References Examples
Description
An artificial dataset with sudden edge shift around at entry 9.000
Usage
1 |
Format
A "data.frame" formatted for direct use within "getMIDASscore()"
Source
data.frame(src = rep(1,100000), dst = c(as.integer(rexp(n = 90000, rate = .65)) + 2, as.integer(abs(rnorm(10000, 8, .7))) + 1), times = unlist(lapply(c(1:1000), rep, times=100)))
References
None
Examples
1 2 |
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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