Last updated on 2026-04-26 02:49:52 CEST.
| Package | ERROR | OK |
|---|---|---|
| distanceto | 12 | |
| hwig | 12 | |
| irg | 12 | |
| spatsoc | 2 | 10 |
Current CRAN status: OK: 12
Current CRAN status: OK: 12
Current CRAN status: OK: 12
Current CRAN status: ERROR: 2, OK: 10
Version: 0.2.2
Check: examples
Result: ERROR
Running examples in 'spatsoc-Ex.R' failed
The error most likely occurred in:
> ### Name: group_lines
> ### Title: Group Lines
> ### Aliases: group_lines
>
> ### ** Examples
>
> # Load data.table
> library(data.table)
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
> ## Don't show:
> data.table::setDTthreads(1)
> ## End(Don't show)
>
> # Read example data
> DT <- fread(system.file("extdata", "DT.csv", package = "spatsoc"))
>
> # Subset only individuals A, B, and C
> DT <- DT[ID %in% c('A', 'B', 'C')]
>
> # Cast the character column to POSIXct
> DT[, datetime := as.POSIXct(datetime, tz = 'UTC')]
>
> # EPSG code for example data
> utm <- 32736
>
> group_lines(DT, threshold = 50, projection = utm, sortBy = 'datetime',
+ id = 'ID', coords = c('X', 'Y'))
ID X Y datetime population group
<char> <num> <num> <POSc> <int> <num>
1: A 715851.4 5505340 2016-11-01 00:00:54 1 1
2: A 715822.8 5505289 2016-11-01 02:01:22 1 1
3: A 715872.9 5505252 2016-11-01 04:01:24 1 1
4: A 715820.5 5505231 2016-11-01 06:01:05 1 1
5: A 715830.6 5505227 2016-11-01 08:01:11 1 1
---
4265: C 702093.6 5510180 2017-02-28 14:00:44 1 1
4266: C 702086.0 5510183 2017-02-28 16:00:42 1 1
4267: C 702961.8 5509447 2017-02-28 18:00:53 1 1
4268: C 703130.4 5509528 2017-02-28 20:00:54 1 1
4269: C 702872.3 5508531 2017-02-28 22:00:18 1 1
>
> ## Daily movement tracks
> # Temporal grouping
> group_times(DT, datetime = 'datetime', threshold = '1 day')
ID X Y datetime population group timegroup
<char> <num> <num> <POSc> <int> <num> <int>
1: A 715851.4 5505340 2016-11-01 00:00:54 1 1 1
2: A 715822.8 5505289 2016-11-01 02:01:22 1 1 1
3: A 715872.9 5505252 2016-11-01 04:01:24 1 1 1
4: A 715820.5 5505231 2016-11-01 06:01:05 1 1 1
5: A 715830.6 5505227 2016-11-01 08:01:11 1 1 1
---
4265: C 702093.6 5510180 2017-02-28 14:00:44 1 1 120
4266: C 702086.0 5510183 2017-02-28 16:00:42 1 1 120
4267: C 702961.8 5509447 2017-02-28 18:00:53 1 1 120
4268: C 703130.4 5509528 2017-02-28 20:00:54 1 1 120
4269: C 702872.3 5508531 2017-02-28 22:00:18 1 1 120
>
> # Subset only first 50 days
> DT <- DT[timegroup < 25]
>
> # Spatial grouping
> group_lines(DT, threshold = 50, projection = utm,
+ id = 'ID', coords = c('X', 'Y'),
+ timegroup = 'timegroup', sortBy = 'datetime')
group column will be overwritten by this function
Flavor: r-release-windows-x86_64
Version: 0.2.2
Check: examples
Result: ERROR
Running examples in 'spatsoc-Ex.R' failed
The error most likely occurred in:
> ### Name: group_lines
> ### Title: Group Lines
> ### Aliases: group_lines
>
> ### ** Examples
>
> # Load data.table
> library(data.table)
> ## Don't show:
> data.table::setDTthreads(1)
> ## End(Don't show)
>
> # Read example data
> DT <- fread(system.file("extdata", "DT.csv", package = "spatsoc"))
>
> # Subset only individuals A, B, and C
> DT <- DT[ID %in% c('A', 'B', 'C')]
>
> # Cast the character column to POSIXct
> DT[, datetime := as.POSIXct(datetime, tz = 'UTC')]
>
> # EPSG code for example data
> utm <- 32736
>
> group_lines(DT, threshold = 50, projection = utm, sortBy = 'datetime',
+ id = 'ID', coords = c('X', 'Y'))
ID X Y datetime population group
<char> <num> <num> <POSc> <int> <num>
1: A 715851.4 5505340 2016-11-01 00:00:54 1 1
2: A 715822.8 5505289 2016-11-01 02:01:22 1 1
3: A 715872.9 5505252 2016-11-01 04:01:24 1 1
4: A 715820.5 5505231 2016-11-01 06:01:05 1 1
5: A 715830.6 5505227 2016-11-01 08:01:11 1 1
---
4265: C 702093.6 5510180 2017-02-28 14:00:44 1 1
4266: C 702086.0 5510183 2017-02-28 16:00:42 1 1
4267: C 702961.8 5509447 2017-02-28 18:00:53 1 1
4268: C 703130.4 5509528 2017-02-28 20:00:54 1 1
4269: C 702872.3 5508531 2017-02-28 22:00:18 1 1
>
> ## Daily movement tracks
> # Temporal grouping
> group_times(DT, datetime = 'datetime', threshold = '1 day')
ID X Y datetime population group timegroup
<char> <num> <num> <POSc> <int> <num> <int>
1: A 715851.4 5505340 2016-11-01 00:00:54 1 1 1
2: A 715822.8 5505289 2016-11-01 02:01:22 1 1 1
3: A 715872.9 5505252 2016-11-01 04:01:24 1 1 1
4: A 715820.5 5505231 2016-11-01 06:01:05 1 1 1
5: A 715830.6 5505227 2016-11-01 08:01:11 1 1 1
---
4265: C 702093.6 5510180 2017-02-28 14:00:44 1 1 120
4266: C 702086.0 5510183 2017-02-28 16:00:42 1 1 120
4267: C 702961.8 5509447 2017-02-28 18:00:53 1 1 120
4268: C 703130.4 5509528 2017-02-28 20:00:54 1 1 120
4269: C 702872.3 5508531 2017-02-28 22:00:18 1 1 120
>
> # Subset only first 50 days
> DT <- DT[timegroup < 25]
>
> # Spatial grouping
> group_lines(DT, threshold = 50, projection = utm,
+ id = 'ID', coords = c('X', 'Y'),
+ timegroup = 'timegroup', sortBy = 'datetime')
group column will be overwritten by this function
Flavor: r-oldrel-windows-x86_64