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Merge pull request #587 from HighlanderLab/devel
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Changing vignette D
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janaobsteter authored Sep 19, 2024
2 parents c018375 + 1b39ecc commit 01a56ee
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: SIMplyBee
Type: Package
Title: 'AlphaSimR' Extension for Simulating Honeybee Populations and Breeding Programmes
Version: 0.4.0
Version: 0.4.1
Authors@R: c(
person("Jana", "Obšteter", email = "[email protected]",
role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1511-3916")),
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11 changes: 11 additions & 0 deletions NEWS.md
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Expand Up @@ -4,6 +4,17 @@ editor_options:
wrap: 72
---

# SIMplyBee version 0.4.1

- 2024-09-19

## Bug fixes

- locations of the colonies in the D_Crossing vignettes were previously
sampled by random. This caused that on some runs some queens were left unmated,
which caused an error. We now read in the locations from a csv file.


# SIMplyBee version 0.4.0

- 2024-08-23
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36 changes: 36 additions & 0 deletions vignettes/Colony_locations.csv
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ColonyID,X,Y
1,0.662431162288274,5.97033145745812
2,0.889869211813095,0.882040306233467
3,3.20406617225118,4.2012594475023
4,3.37467634975274,1.85276144978548
5,6.26877271726022,4.12336288238627
6,1.49762073729787,0.854711175179748
7,6.27428327657999,5.28537368571472
8,0.377119552748809,1.26003243402567
9,0.884600259265786,2.55843304434275
10,4.85341262281402,4.34423864421118
11,0.439273950460384,5.78768883580839
12,4.85267013629791,5.24037990077726
13,6.27814888107222,1.67684867115787
14,5.91398658831959,2.21947012261649
15,2.2845571049277,2.76273156562477
16,2.15001173188715,5.30559199476844
17,3.30277055998226,3.88408253149063
18,1.59318554922445,3.95724726174676
19,5.14489315015939,3.48380219722517
20,4.89542592867685,4.87175443368121
21,4.98504294579104,4.63186113766538
22,1.96273450676472,2.98552319129881
23,1.94181870616625,1.04070091389605
24,3.71355474699821,3.98892629339701
25,1.76640287495849,1.81689439235
26,3.49162610986539,2.007127614613
27,4.70110619836582,1.98065883153337
28,2.93773502070683,2.79053982429322
29,1.69897541097397,2.4435374157815
30,1.54126706057672,0.265964466739025
31,0.211675140867833,1.58970616827141
32,4.38863010920245,4.35616019770602
33,4.3632705003701,0.955920230806015
34,5.94574863325625,5.50420647366442
35,2.86914251070775,0.176914088999066
28 changes: 19 additions & 9 deletions vignettes/D_Crossing.Rmd
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Expand Up @@ -287,19 +287,26 @@ colonies. Although we are not sampling drones directly, you still need to
provide `nDrones` argument to determine the number of sampled drone producing
colonies.

For spatial mating, we need to set the location to our apiaries (all the
colonies within an beekeeper will have the same location). Here, we are setting
this locations randomly, but these could be actual coordinated of colonies
within a country.
For spatial mating, we need to set the location to our apiaries. Here, we are
reading the locations in from a file with the coordinates of all colonies, then
selecting the colonies of a specific beekeeper, creating a list of coordinate
pairs (with the `Map` function). We could also set locations randomly.

```{r}
# Read locations from a file
locations = read.csv("Colony_locations.csv")
# Set location to apiaries
beekeeper1_locations <- locations[locations$ColonyID %in% getId(beekeeper1),]
beekeeper1 <- setLocation(beekeeper1,
location = Map(c, runif(nColonies(beekeeper1), 0, 2*pi), runif(nColonies(beekeeper1), 0, 2*pi)))
location = Map(c, beekeeper1_locations$X, beekeeper1_locations$Y))
beekeeper2_locations <- locations[locations$ColonyID %in% getId(beekeeper2),]
beekeeper2 <- setLocation(beekeeper2,
location = Map(c, runif(nColonies(beekeeper2), 0, 2*pi), runif(nColonies(beekeeper2), 0, 2*pi)))
location = Map(c, beekeeper2_locations$X, beekeeper2_locations$Y))
beekeeper3_locations <- locations[locations$ColonyID %in% getId(beekeeper3),]
beekeeper3 <- setLocation(beekeeper3,
location = Map(c, runif(nColonies(beekeeper2), 0, 2*pi), runif(nColonies(beekeeper3), 0, 2*pi)))
location = Map(c, beekeeper3_locations$X, beekeeper3_locations$Y))
```

Expand Down Expand Up @@ -372,10 +379,13 @@ beekeepers 1 to 3 as drone producing colonies. Let's first set the locations of
the beekeepers 4 and 5 colonies.

```{r}
beekeeper4_locations <- locations[locations$ColonyID %in% getId(beekeeper4),]
beekeeper4 <- setLocation(beekeeper4,
location = Map(c, runif(nColonies(beekeeper4), 0, 2*pi), runif(nColonies(beekeeper4), 0, 2*pi)))
location = Map(c, beekeeper4_locations$X, beekeeper4_locations$Y))
beekeeper5_locations <- locations[locations$ColonyID %in% getId(beekeeper5),]
beekeeper5 <- setLocation(beekeeper5,
location = Map(c, runif(nColonies(beekeeper5), 0, 2*pi), runif(nColonies(beekeeper5), 0, 2*pi)))
location = Map(c, beekeeper5_locations$X, beekeeper5_locations$Y))
```

Now, we will mate the colonies of beekeeper 4 in a random manner and colonies of
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