Description Usage Arguments Value Examples
View source: R/bv.development.box.R
Function to plot genetic/breeding values for multiple generation/cohorts using box plots
1 2 3 4 5 6 7 8 9 10 11 12 13 |
population |
population list |
database |
Groups of individuals to consider for the export |
gen |
Quick-insert for database (vector of all generations to export) |
cohorts |
Quick-insert for database (vector of names of cohorts to export) |
bvrow |
Which traits to display (for multiple traits separte plots (par(mfrow))) |
json |
If TRUE extract which cohorts to plot according to the json-file used in json.simulation |
display |
Choose between "bv", "pheno", "bve" (default: "bv") |
display.selection |
Display lines between generated cohorts via selection (webinterface) |
display.reproduction |
Display lines between generated cohorts via reproduction (webinterface) |
ylim |
Set this to fix the y-axis of the plot |
fix_mfrow |
Set TRUE to not use mfrow - use for custom plots |
Genomic values of selected gen/database/cohort
1 2 | data(ex_pop)
bv.development.box(ex_pop, gen=1:5)
|
#############################################################
############ Modular Breeding Program Simulator #############
#############################################################
################ Version: 1.4.87 (27-03-2020) ###############
######## To update to the most recent stable version: #######
## devtools::install_github('tpook92/MoBPS', subdir='pkg') ##
#############################################################
################ Web-interface: www.mobps.de ################
### Extended documentation: www.github.com/tpook92/MoBPS ####
#############################################################
$`Generation 1`
M1_1 M2_1 M3_1 M4_1 M5_1 M6_1 M7_1 M8_1
Trait 1 98.77562 98.90339 99.50298 99.37521 101.8188 100.9908 98.77562 100.1236
M9_1 M10_1 M11_1 M12_1 M13_1 M14_1 M15_1 M16_1
Trait 1 98.33152 101.5665 98.75559 99.29291 101.1647 100.6609 101.0582 99.48035
M17_1 M18_1 M19_1 M20_1 M21_1 M22_1 M23_1 M24_1
Trait 1 100.4041 97.87265 100.0413 98.90151 100.6561 100.1388 98.67811 100.5331
M25_1 F1_1 F2_1 F3_1 F4_1 F5_1 F6_1 F7_1
Trait 1 99.8874 98.41664 97.7119 98.84881 100.3986 98.67876 100.8355 99.42978
F8_1 F9_1 F10_1 F11_1 F12_1 F13_1 F14_1 F15_1
Trait 1 100.2717 97.67418 100.4041 97.48861 99.10378 95.37697 99.24066 98.17434
F16_1 F17_1 F18_1 F19_1 F20_1 F21_1 F22_1 F23_1
Trait 1 101.8737 99.5972 99.48035 102.6102 97.9329 98.70159 102.231 96.40713
F24_1 F25_1
Trait 1 99.37521 98.51414
$`Generation 2`
M1_2 M2_2 M3_2 M4_2 M5_2 M6_2 M7_2 M8_2
Trait 1 100.2075 100.3912 99.5011 102.9893 102.2755 99.9003 100.5137 98.45742
M9_2 M10_2 M11_2 M12_2 M13_2 M14_2 M15_2 M16_2
Trait 1 100.4085 102.5998 100.863 100.0067 99.15835 102.473 101.9741 99.09026
M17_2 M18_2 M19_2 M20_2 M21_2 M22_2 M23_2 M24_2
Trait 1 100.892 103.0543 100.1345 100.1782 102.1064 101.9741 101.097 99.46943
M25_2 F1_2 F2_2 F3_2 F4_2 F5_2 F6_2 F7_2
Trait 1 100.9123 101.0504 103.5113 99.09806 100.3262 102.2162 103.1139 101.4865
F8_2 F9_2 F10_2 F11_2 F12_2 F13_2 F14_2 F15_2
Trait 1 100.83 99.82248 101.8269 103.5167 99.74442 102.3258 99.73532 98.52682
F16_2 F17_2 F18_2 F19_2 F20_2 F21_2 F22_2 F23_2
Trait 1 100.6835 101.1873 101.8188 101.1647 98.15171 100.6383 102.473 100.5331
F24_2 F25_2
Trait 1 100.2482 102.2084
$`Generation 3`
M1_3 M2_3 M3_3 M4_3 M5_3 M6_3 M7_3 M8_3
Trait 1 101.8188 102.8852 101.4293 103.3889 101.7046 102.3258 102.6102 101.3151
M9_3 M10_3 M11_3 M12_3 M13_3 M14_3 M15_3 M16_3
Trait 1 102.8522 101.1647 103.2314 101.956 100.0067 102.198 103.1171 101.6989
M17_3 M18_3 M19_3 M20_3 M21_3 M22_3 M23_3 M24_3
Trait 1 101.4478 102.8522 102.1487 102.3588 102.198 103.1171 102.8522 102.8522
M25_3 F1_3 F2_3 F3_3 F4_3 F5_3 F6_3 F7_3
Trait 1 101.7046 103.3889 102.618 102.6102 102.231 103.3889 103.5113 102.0734
F8_3 F9_3 F10_3 F11_3 F12_3 F13_3 F14_3 F15_3
Trait 1 104.0431 103.5294 101.9466 101.5768 102.0884 103.2495 102.0702 100.9305
F16_3 F17_3 F18_3 F19_3 F20_3 F21_3 F22_3 F23_3
Trait 1 102.0734 102.6102 103.3889 101.0582 104.4223 101.4296 102.2388 102.0838
F24_3 F25_3
Trait 1 103.2643 103.7863
$`Generation 4`
M1_4 M2_4 M3_4 M4_4 M5_4 M6_4 M7_4 M8_4
Trait 1 101.8188 102.3258 103.1171 102.7379 103.1171 102.7379 104.4223 102.9893
M9_4 M10_4 M11_4 M12_4 M13_4 M14_4 M15_4 M16_4
Trait 1 103.7681 103.7681 101.5768 103.5167 103.5113 104.1654 104.0431 102.9994
M17_4 M18_4 M19_4 M20_4 M21_4 M22_4 M23_4 M24_4
Trait 1 102.8625 103.7681 103.3889 102.8852 103.5167 102.3452 102.2207 101.5768
M25_4 F1_4 F2_4 F3_4 F4_4 F5_4 F6_4 F7_4
Trait 1 102.3258 102.0838 102.2207 103.2417 103.7681 102.8852 101.4522 103.7681
F8_4 F9_4 F10_4 F11_4 F12_4 F13_4 F14_4 F15_4
Trait 1 101.8415 104.0431 103.3786 102.8522 103.6435 100.9029 102.473 101.8085
F16_4 F17_4 F18_4 F19_4 F20_4 F21_4 F22_4 F23_4
Trait 1 103.7863 103.7681 102.198 103.7681 104.4404 103.1139 104.0431 102.473
F24_4 F25_4
Trait 1 102.7379 104.4223
$`Generation 5`
M1_5 M2_5 M3_5 M4_5 M5_5 M6_5 M7_5 M8_5
Trait 1 103.3889 102.6102 102.7348 103.7681 102.0702 104.0431 102.6102 103.5167
M9_5 M10_5 M11_5 M12_5 M13_5 M14_5 M15_5 M16_5
Trait 1 102.8625 104.1654 103.7681 102.7244 102.0838 103.5167 103.3889 102.6102
M17_5 M18_5 M19_5 M20_5 M21_5 M22_5 M23_5 M24_5
Trait 1 102.8625 103.1321 104.1654 103.6435 103.7681 103.7681 103.7681 103.4931
M25_5 F1_5 F2_5 F3_5 F4_5 F5_5 F6_5 F7_5
Trait 1 104.0431 102.7348 102.8625 103.3889 104.1473 103.5167 102.9893 102.473
F8_5 F9_5 F10_5 F11_5 F12_5 F13_5 F14_5 F15_5
Trait 1 104.0431 101.6943 104.1473 102.4494 103.2599 104.4223 104.8014 103.5167
F16_5 F17_5 F18_5 F19_5 F20_5 F21_5 F22_5 F23_5
Trait 1 103.8959 103.3889 103.3889 104.0431 101.5665 103.3889 103.5167 102.2207
F24_5 F25_5
Trait 1 103.1139 103.7681
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