directional_persistence: Calculate the mean directional_persistence of a track object.
In cells2numbers/migrationminer: Package for Creating and Analyzing Migration Profiles for Single Cell Tracking / Time Lapse Data
Description
Usage
Arguments
Value
Examples
Description
Calculate the mean directional_persistence of a track object.
Usage
1
directional_persistence(tracks)
Arguments
tracks
data frame with track objects
Value
directional persistence
Examples
1
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data <- tibble::tibble(
Metadata_timePoint = c(1:5),
Location_Center_X = c(1, 2, 3, 4, 5),
Location_Center_Y = c(1, 1, 1, 1, 1),
TrackObjects_Label = c(rep(1, 5))
)
tracks <- migrationminer::displace(data,"TrackObjects_Label")
directional_persistence <- migrationminer::directional_persistence(tracks)
cells2numbers/migrationminer documentation built on May 28, 2019, 7:12 a.m.
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Description Usage Arguments Value Examples
Description
Calculate the mean directional_persistence of a track object.
Usage
1 | directional_persistence(tracks)
|
Arguments
tracks |
data frame with track objects |
Value
directional persistence
Examples
1 2 3 4 5 6 7 8 | data <- tibble::tibble(
Metadata_timePoint = c(1:5),
Location_Center_X = c(1, 2, 3, 4, 5),
Location_Center_Y = c(1, 1, 1, 1, 1),
TrackObjects_Label = c(rep(1, 5))
)
tracks <- migrationminer::displace(data,"TrackObjects_Label")
directional_persistence <- migrationminer::directional_persistence(tracks)
|
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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