The Males are counted when the ped$sex value is
"M".
Females are counted when the ped$sex value is not
"M". This means animals with ambiguous sex are counted with the
females.
Arguments
- ids
character vector of animal IDs
- ped
dataframe that is the
Pedigree. It contains pedigree information including the IDs listed inids.- additionalMales
Integer value of males to add to those within the group when calculating the ratio. The additions always count, except when
idshas no animals or no males: with no males, the ratio isInfunlessadditionalMalesis greater than 0 (thenadditionalFemalesstill counts); with no animals, see Value. Default is 0.- additionalFemales
Integer value of females to add to those within the group when calculating the ratio. The additions always count, except as described for
additionalMales. Default is 0.
Value
Numeric value of the sex ratio of the animals provided, expressed as
the number of non-males per male. It is Inf when there are no males
(and no males are added) but at least one non-male; 0 when
ids is empty, no females are added and males are added; and
NA when ids is empty and nothing is added.
Examples
library(nprcgenekeepr)
data("qcBreeders")
data("pedWithGenotype")
available <- c(
"JGPN6K", "8KM1MP", "I9TQ0T", "Q0RGP7", "VFS0XB", "CQC133",
"2KULR3", "HOYW0S", "FHV13N", "OUM6QF", "6Z7MD9", "CFPEEU",
"HLI95R", "RI0O7F", "7M51X5", "DR5GXB", "170ZTZ", "C1ICXL"
)
nonMales <- c(
"JGPN6K", "8KM1MP", "I9TQ0T", "Q0RGP7", "CQC133",
"2KULR3", "HOYW0S", "FHV13N", "OUM6QF", "6Z7MD9", "CFPEEU",
"HLI95R", "RI0O7F", "7M51X5", "DR5GXB", "170ZTZ", "C1ICXL"
)
male <- "VFS0XB"
calculateSexRatio(ids = male, ped = pedWithGenotype)
#> [1] 0
calculateSexRatio(ids = nonMales, ped = pedWithGenotype)
#> [1] Inf
calculateSexRatio(ids = available, ped = pedWithGenotype)
#> [1] 17
calculateSexRatio(
ids = available, ped = pedWithGenotype,
additionalMales = 1L
)
#> [1] 8.5
calculateSexRatio(
ids = available, ped = pedWithGenotype,
additionalFemales = 1L
)
#> [1] 18
calculateSexRatio(
ids = available, ped = pedWithGenotype,
additionalMales = 1, additionalFemales = 1L
)
#> [1] 9
calculateSexRatio(
ids = nonMales, ped = pedWithGenotype,
additionalMales = 1, additionalFemales = 0L
)
#> [1] 17
calculateSexRatio(
ids = character(0), ped = pedWithGenotype,
additionalMales = 1, additionalFemales = 0L
)
#> [1] 0
