Nothing
Code
print(miniExample)
Output
sampleId knownIndividual dismiss. LOC1a LOC1b LOC2a LOC2b
1 1 A Rain 11 21 31 41
2 2 A drops 12 22 32 42
3 3 B keep 13 23 33 43
4 4 C fallin' on my head 14 24 -88 44
Code
miniDataset1 <- amDataset(miniExample)
Code
print.amDataset(miniDataset1)
Output
allelematch
amDataset object
sampleId knownIndividual dismiss. LOC1a LOC1b LOC2a LOC2b
AAA 1 A Rain 11 21 31 41
AAB 2 A drops 12 22 32 42
AAC 3 B keep 13 23 33 43
AAD 4 C fallin'onmyhead 14 24 -88 44
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["index", "multilocus", "missingCode"]
},
"class": {
"type": "character",
"attributes": {},
"value": ["amDataset"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["AAA", "AAB", "AAC", "AAD"]
},
{
"type": "character",
"attributes": {
"dim": {
"type": "integer",
"attributes": {},
"value": [4, 7]
},
"dimnames": {
"type": "list",
"attributes": {},
"value": [
{
"type": "NULL"
},
{
"type": "character",
"attributes": {},
"value": ["sampleId", "knownIndividual", "dismiss.", "LOC1a", "LOC1b", "LOC2a", "LOC2b"]
}
]
}
},
"value": ["1", "2", "3", "4", "A", "A", "B", "C", "Rain", "drops", "keep", "fallin'onmyhead", "11", "12", "13", "14", "21", "22", "23", "24", "31", "32", "33", "-88", "41", "42", "43", "44"]
},
{
"type": "character",
"attributes": {},
"value": ["-99"]
}
]
}
Code
miniDataset2 <- amDataset(miniExample, missingCode = "-88", indexColumn = "sampleId",
metaDataColumn = "knownIndividual", ignoreColumn = "dismiss.")
Code
print.amDataset(miniDataset2)
Output
allelematch
amDataset object
LOC1a LOC1b LOC2a LOC2b
1 A 11 21 31 41
2 A 12 22 32 42
3 B 13 23 33 43
4 C 14 24 -88 44
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["index", "metaData", "multilocus", "missingCode"]
},
"class": {
"type": "character",
"attributes": {},
"value": ["amDataset"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["1", "2", "3", "4"]
},
{
"type": "character",
"attributes": {},
"value": ["A", "A", "B", " C"]
},
{
"type": "character",
"attributes": {
"dim": {
"type": "integer",
"attributes": {},
"value": [4, 4]
},
"dimnames": {
"type": "list",
"attributes": {},
"value": [
{
"type": "NULL"
},
{
"type": "character",
"attributes": {},
"value": ["LOC1a", "LOC1b", "LOC2a", "LOC2b"]
}
]
}
},
"value": ["11", "12", "13", "14", "21", "22", "23", "24", "31", "32", "33", "-88", "41", "42", "43", "44"]
},
{
"type": "character",
"attributes": {},
"value": ["-88"]
}
]
}
Code
miniDataset3 <- amDataset(miniExample, missingCode = "-88", indexColumn = 1,
metaDataColumn = 2, ignoreColumn = 3)
Code
print.amDataset(miniDataset2)
Output
allelematch
amDataset object
LOC1a LOC1b LOC2a LOC2b
1 A 11 21 31 41
2 A 12 22 32 42
3 B 13 23 33 43
4 C 14 24 -88 44
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["index", "metaData", "multilocus", "missingCode"]
},
"class": {
"type": "character",
"attributes": {},
"value": ["amDataset"]
}
},
"value": [
{
"type": "character",
"attributes": {},
"value": ["1", "2", "3", "4"]
},
{
"type": "character",
"attributes": {},
"value": ["A", "A", "B", " C"]
},
{
"type": "character",
"attributes": {
"dim": {
"type": "integer",
"attributes": {},
"value": [4, 4]
},
"dimnames": {
"type": "list",
"attributes": {},
"value": [
{
"type": "NULL"
},
{
"type": "character",
"attributes": {},
"value": ["LOC1a", "LOC1b", "LOC2a", "LOC2b"]
}
]
}
},
"value": ["11", "12", "13", "14", "21", "22", "23", "24", "31", "32", "33", "-88", "41", "42", "43", "44"]
},
{
"type": "character",
"attributes": {},
"value": ["-88"]
}
]
}
Code
ds1 <- amDataset(sample, missingCode = "NA")
Output
allelematch: NA data converted to NA
structure(list(index = c("AAA", "AAB", "AAC", "AAD"), multilocus = structure(c("11",
"12", "13", "14", "21", "22", "23", "NA", "31", "32", "33", "NA",
"41", "42", "43", "NA"), dim = c(4L, 4L), dimnames = list(NULL,
c("LOC1a", "LOC1b", "LOC2a", "LOC2b"))), missingCode = "NA"), class = "amDataset")
Code
ds2 <- amDataset(sample, missingCode = NA)
Output
allelematch: NA data converted to NA
structure(list(index = c("AAA", "AAB", "AAC", "AAD"), multilocus = structure(c("11",
"12", "13", "14", "21", "22", "23", "NA", "31", "32", "33", "NA",
"41", "42", "43", "NA"), dim = c(4L, 4L), dimnames = list(NULL,
c("LOC1a", "LOC1b", "LOC2a", "LOC2b"))), missingCode = "NA"), class = "amDataset")
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