Learn R Programming

nprcgenekeepr (version 1.0.8)

summarizeKinshipValues: Summary statistics for imputed kinship values

Description

Makes a data.frame object containing simulated kinship summary statistics using the counts of kinship values list from countKinshipValues.

Usage

summarizeKinshipValues(countedKValues)

Value

a data.frame with one row of summary statistics for each imputed kinship value. The columns are as follows: id_1, id_2, min, secondQuartile, mean, median, thirdQuartile, max, and sd.

Arguments

countedKValues

list object from countKinshipValues function that containes the lists kinshipIds, kinshipValues, and kinshipCounts.

Examples

Run this code
ped <- nprcgenekeepr::smallPed
simParent_1 <- list(
  id = "A",
  sires = c("s1_1", "s1_2", "s1_3"),
  dams = c("d1_1", "d1_2", "d1_3", "d1_4")
)
simParent_2 <- list(
  id = "B",
  sires = c("s1_1", "s1_2", "s1_3"),
  dams = c("d1_1", "d1_2", "d1_3", "d1_4")
)
simParent_3 <- list(
  id = "E",
  sires = c("A", "C", "s1_1"),
  dams = c("d3_1", "B")
)
simParent_4 <- list(
  id = "J",
  sires = c("A", "C", "s1_1"),
  dams = c("d3_1", "B")
)
simParent_5 <- list(
  id = "K",
  sires = c("A", "C", "s1_1"),
  dams = c("d3_1", "B")
)
simParent_6 <- list(
  id = "N",
  sires = c("A", "C", "s1_1"),
  dams = c("d3_1", "B")
)
allSimParents <- list(
  simParent_1, simParent_2, simParent_3,
  simParent_4, simParent_5, simParent_6
)

extractKinship <- function(simKinships, id1, id2, simulation) {
  ids <- dimnames(simKinships[[simulation]])[[1]]
  simKinships[[simulation]][
    seq_along(ids)[ids == id1],
    seq_along(ids)[ids == id2]
  ]
}

extractKValue <- function(kValue, id1, id2, simulation) {
  kValue[
    kValue$id_1 == id1 & kValue$id_2 == id2,
    paste0("sim_", simulation)
  ]
}

n <- 10
simKinships <- createSimKinships(ped, allSimParents, pop = ped$id, n = n)
kValues <- kinshipMatricesToKValues(simKinships)
extractKValue(kValues, id1 = "A", id2 = "F", simulation = 1:n)
counts <- countKinshipValues(kValues)
stats <- summarizeKinshipValues(counts)

Run the code above in your browser using DataLab