context("test_.parse_extreme_columns() - unit tests")
test_that(".parse_extreme_columns() returns expected tibble for snv max", {
example <- tibble::tibble(
Polyphen2_HDIV_score = c(".", "1"),
Eigen_PC_raw = c("-0.178845453566383", "2"),
fathmm_MKL_coding_score = c("0.87811", "3"),
MAP20_149bp = c("0.0", "4")
)
target <- tibble::tibble(
Polyphen2_HDIV_score = c(".", "1"),
Eigen_PC_raw = c("-0.178845453566383", "2"),
fathmm_MKL_coding_score = c("0.87811", "3"),
MAP20_149bp = c("0.0", "4")
)
result <- .parse_extreme_columns(example,
c("Polyphen2_HDIV_score",
"Eigen_PC_raw",
"fathmm_MKL_coding_score",
"MAP20_149bp"),
"max")
expect_identical(result, target)
})
test_that(".parse_extreme_columns() returns expected tibble for indel max", {
example <- tibble::tibble(
Eigen_PC_raw = c(".{1}", "-0.164398825586883{1}",
".{5}-0.00506108216253831{4}0.0200792355286427{1}",
".{5}0.636779480039485{1}0.651616016738356{2}", ".{5}",
".{3}0.382030178748437{1}0.394216023865136{1}",
".{3}-0.0842385276257326{1}-0.0880785370562746{1}",
".;-0.0842385276257326;-0.0880785370562746{1}"
),
fathmm_MKL_coding_score = c(".{1}", "0.87811{1}", ".{5}0.90605{5}",
".{5}0.90734{3}", ".{5}", ".{3}0.90912{2}",
".{3}0.90863{2}", "0.90863{3};0.90863{2}"),
MAP20_149bp = c("0.0{1}", "0.004166664{1}", "0.015773803{10}",
"0.01666666{8}",
"0.09196428{1}0.09553571{1}0.09732143{1}0.09910714{1}",
"0.11339285{1}0.12053571{1}0.12410714{1}0.12767857{1}",
"0.19464286{1}0.19821429{1}0.20178571{1}0.20535715{1}",
"0.19464286{1};0.19821429{1}0.20178571{1};0.20535715{1}")
)
target <- tibble::tibble(
Eigen_PC_raw = c(".", "-0.164398825586883", "0.0200792355286427",
"0.651616016738356", ".", "0.394216023865136",
"-0.0842385276257326", # or do we want -0.0880785370562746?
"-0.0842385276257326" # or do we want -0.0880785370562746?
),
fathmm_MKL_coding_score = c(".", "0.87811", "0.90605", "0.90734", ".",
"0.90912", "0.90863", "0.90863"),
# note: first value of parsed MAP20_149bp is "0", not "0.0". I think that's
# okay
MAP20_149bp = c("0", "0.004166664", "0.015773803", "0.01666666",
"0.09910714", "0.12767857", "0.20535715", "0.20535715")
)
result <- .parse_extreme_columns(example,
c("Eigen_PC_raw",
"fathmm_MKL_coding_score",
"MAP20_149bp"),
"max")
expect_identical(result, target)
})
# add test based on observed bug when max_columns is a 1-length named list
test_that(".parse_extreme_columns() returns expected tibble for indel max", {
example <- tibble::tibble(
VEST3_score =
c(".",
"0.759;0.258;0.652;0.296;0.652;0.759;0.652;0.652;0.723",
"0.75;0.205;0.663;0.236;0.663;0.75;0.663;0.663;0.705"),
fathmm_MKL_coding_score = c(".{1}", "0.87811{1}", ".{5}0.90605{5}")
)
target <- tibble::tibble(
VEST3_score = c(".", "0.759", "0.75"),
fathmm_MKL_coding_score = c(".{1}", "0.87811{1}", ".{5}0.90605{5}")
)
max_columns <- list(field = c("VEST3_score"))
result <- .parse_extreme_columns(example,
unlist(max_columns),
"max")
expect_identical(result, target)
})
test_that(".parse_extreme_columns() returns expected tibble for snv min", {
example <- tibble::tibble(
Polyphen2_HDIV_score = c(".", "1"),
Eigen_PC_raw = c("-0.178845453566383", "2"),
fathmm_MKL_coding_score = c("0.87811", "3"),
MAP20_149bp = c("0.0", "4")
)
target <- tibble::tibble(
Polyphen2_HDIV_score = c(".", "1"),
Eigen_PC_raw = c("-0.178845453566383", "2"),
fathmm_MKL_coding_score = c("0.87811", "3"),
MAP20_149bp = c("0.0", "4")
)
result <- .parse_extreme_columns(example,
c("Polyphen2_HDIV_score",
"Eigen_PC_raw",
"fathmm_MKL_coding_score",
"MAP20_149bp"),
"min")
expect_identical(result, target)
})
test_that(".parse_min_columns() returns expected tibble for indel min", {
example <- tibble::tibble(
Eigen_PC_raw = c(".{1}", "-0.164398825586883{1}",
".{5}-0.00506108216253831{4}0.0200792355286427{1}",
".{5}0.636779480039485{1}0.651616016738356{2}", ".{5}",
".{3}0.382030178748437{1}0.394216023865136{1}",
".{3}-0.0842385276257326{1}-0.0880785370562746{1}",
".;-0.0842385276257326;-0.0880785370562746{1}"
),
fathmm_MKL_coding_score = c(".{1}", "0.87811{1}", ".{5}0.90605{5}",
".{5}0.90734{3}", ".{5}", ".{3}0.90912{2}",
".{3}0.90863{2}", "0.90863{3};0.90863{2}"),
MAP20_149bp = c("0.0{1}", "0.004166664{1}", "0.015773803{10}",
"0.01666666{8}",
"0.09196428{1}0.09553571{1}0.09732143{1}0.09910714{1}",
"0.11339285{1}0.12053571{1}0.12410714{1}0.12767857{1}",
"0.19464286{1}0.19821429{1}0.20178571{1}0.20535715{1}",
"0.19464286{1};0.19821429{1}0.20178571{1};0.20535715{1}")
)
target <- tibble::tibble(
Eigen_PC_raw = c(".", "-0.164398825586883", "-0.00506108216253831",
"0.636779480039485", ".", "0.382030178748437",
"-0.0880785370562746", "-0.0880785370562746"),
fathmm_MKL_coding_score = c(".", "0.87811", "0.90605", "0.90734", ".",
"0.90912", "0.90863", "0.90863"),
# note: first value of parsed MAP20_149bp is "0", not "0.0". I think that's
# okay
MAP20_149bp = c("0", "0.004166664", "0.015773803", "0.01666666",
"0.09196428", "0.11339285", "0.19464286", "0.19464286")
)
result <- .parse_extreme_columns(example,
c("Eigen_PC_raw",
"fathmm_MKL_coding_score",
"MAP20_149bp"),
"min")
expect_identical(result, target)
})
# add tests for new indel format - see github issue #108
test_that(".parse_extreme_columns() returns expected tibble for indel max 2", {
example <- tibble::tibble(
Eigen_PC_raw = c(".",
"-0.1643988",
".|.|-0.00506108|-0.00506108|0.0200792",
".{3}-0.0842385276257326{1}-0.0880785370562746{1}",
".;-0.0842385276257326;-0.0880785370562746{1}"),
fathmm_MKL_coding_score = c(".{1}",
".|.|0.10317|.|.|.|0.10722|0.11031|0.11230|.",
".{5}0.90605{5}",
".{5}0.90734{3}",
".{5}"),
MAP20_149bp = c("0.0{1}",
"0.004166664{1}",
"0.015773803{10}",
".|.|0.10317|.|.|.|0.10722|0.11031",
"0.09196428{1}0.09553571{1}0.09732143{1}0.09910714{1}")
)
target <- tibble::tibble(
Eigen_PC_raw = c(".", "-0.1643988", "0.0200792", "-0.0842385276257326",
"-0.0842385276257326"),
fathmm_MKL_coding_score = c(".", "0.1123", "0.90605", "0.90734", "."),
# note: first value of parsed MAP20_149bp is "0", not "0.0". I think that's
# okay
MAP20_149bp = c("0", "0.004166664", "0.015773803", "0.11031",
"0.09910714")
)
result <- .parse_extreme_columns(example,
c("Eigen_PC_raw",
"fathmm_MKL_coding_score",
"MAP20_149bp"),
"max")
expect_identical(result, target)
})
test_that(".parse_min_columns() returns expected tibble for indel min 2", {
example <- tibble::tibble(
Eigen_PC_raw = c(".",
"-0.1643988",
".|.|-0.00506108|-0.00506108|0.0200792",
".{3}-0.0842385276257326{1}-0.0880785370562746{1}",
".;-0.0842385276257326;-0.0880785370562746{1}"),
fathmm_MKL_coding_score = c(".{1}",
".|.|0.10317|.|.|.|0.10722|0.11031|0.11230|.",
".{5}0.90605{5}",
".{5}0.90734{3}",
".{5}"),
MAP20_149bp = c("0.0{1}",
"0.004166664{1}",
"0.015773803{10}",
".|.|0.10317|.|.|.|0.10722|0.11031",
"0.09196428{1}0.09553571{1}0.09732143{1}0.09910714{1}")
)
target <- tibble::tibble(
Eigen_PC_raw = c(".", "-0.1643988", "-0.00506108", "-0.0880785370562746",
"-0.0880785370562746"),
fathmm_MKL_coding_score = c(".", "0.10317", "0.90605", "0.90734", "."),
# note: first value of parsed MAP20_149bp is "0", not "0.0". I think that's
# okay
MAP20_149bp = c("0", "0.004166664", "0.015773803", "0.10317",
"0.09196428")
)
result <- .parse_extreme_columns(example,
c("Eigen_PC_raw",
"fathmm_MKL_coding_score",
"MAP20_149bp"),
"min")
expect_identical(result, target)
})
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