par_calc_global_metrics: Calculation of Group Metrics in Parallel
In swaRmverse: Swarm Space Creation
View source: R/metrics_calc_group.R
par_calc_global_metrics R Documentation
Calculation of Group Metrics in Parallel
Description
This function calls calc_global_metrics in parallel.
Usage
par_calc_global_metrics(dfs_per_time, geo)
Arguments
dfs_per_time
A list of dataframes per timestep.
geo
Logical, whether positions are
geographic coordinates, default = FALSE.
Value
A dataframe with the group average timeseries, with columns:
set, t, pol, speed, shape, N (number of individuals),
missing_ind (whether some individuals are missing).
Author(s)
Marina Papadopoulou m.papadopoulou.rug@gmail.com
swaRmverse documentation built on Oct. 10, 2024, 5:08 p.m.
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View source: R/metrics_calc_group.R
| par_calc_global_metrics | R Documentation |
Calculation of Group Metrics in Parallel
Description
This function calls calc_global_metrics in parallel.
Usage
par_calc_global_metrics(dfs_per_time, geo)
Arguments
dfs_per_time |
A list of dataframes per timestep. |
geo |
Logical, whether positions are geographic coordinates, default = FALSE. |
Value
A dataframe with the group average timeseries, with columns:
set, t, pol, speed, shape, N (number of individuals),
missing_ind (whether some individuals are missing).
Author(s)
Marina Papadopoulou m.papadopoulou.rug@gmail.com
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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