Nothing
tests/testthat/_snaps/clean_dt.md
In rBiasCorrection: Correct Bias in DNA Methylation Analyses
test normal function of file import of type 1
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test normal function of file import of type 2
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}
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test normal function of file import of type 1
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},
{
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"value": [4.71, 90.05, 100, 14.2, 17.77, 21.6, 31.32, 38.51, 8.51, 23.38, 31.17, "NA", 42.14, 57.63, 51.54, 7.7, 53.81, 57.15, 73.94, 13.09, 15.98, 25.2, 23.91, 23.21, 32.29, 36.82, 41.9, 38.37, 64.5, 68.86, 69.79, 76.64, 94.37, 8.44]
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"value": [5.41, 73.57, 81.92, 7.73, 18.15, 13.62, 31.19, 26.23, 7.4, 20.46, 23.67, 35.21, 39.55, 46.6, 44.93, 4.42, 48.99, 34.42, 63.61, 9.87, 12.22, 22.24, 19.09, 18.17, 28.33, 31.37, 41.59, 30.96, 57.76, 67.45, 63.41, 67.7, 88.33, 5.76]
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{
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{
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"value": [12.64, 85.43, 100, 15.87, 19.6, 26.4, 48.16, 31.17, 10.21, 21.72, 22.7, 35.33, 42.42, 48.27, 54.61, 10.51, 79.16, 51.62, 72.77, 15.27, 13.91, 30.2, 36.45, 28.33, 32.37, 41.02, 66.66, 38.68, 65.65, 76.14, 69.29, 76.81, 100, 7.49]
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{
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"value": [4.89, 88.69, 97.02, 11.57, 18.58, 14.58, 18.81, 22.85, 4.7, 18.62, 19.01, 29.12, 41.46, 45.95, 46.65, 2.58, 30.24, 49.53, 70.46, 7.46, 8.33, 22.18, 24.66, 10.71, 33.89, 34.8, 23.83, 36.39, 61.53, 63.91, 72.64, 68.1, 100, 3.23]
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}
]
}
{
"type": "list",
"attributes": {
"names": {
"type": "character",
"attributes": {},
"value": ["CpG#1", "CpG#2", "CpG#3", "CpG#4", "CpG#5", "CpG#6", "CpG#7", "CpG#8", "CpG#9", "row_means"]
},
"row.names": {
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"value": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34]
},
"class": {
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"value": ["data.table", "data.frame"]
},
".internal.selfref": {
"type": "externalptr",
"attributes": {},
"value": {}
}
},
"value": [
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},
{
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},
{
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"value": [3.93, 80.79, 84.73, 8.46, 19.21, 16.43, 30.14, 29.19, 6.66, 22.22, 19.29, "NA", 37.8, 47.54, 47.54, 4.35, 45.16, 49.56, 62.97, 8.92, 14, 22.86, 19.77, 18.95, 31.02, 34.67, 38.97, 35.21, 60.67, 60.42, 63.01, 61.2, 88.32, 4.16]
},
{
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"value": [5.97, 98.7, 100, 18.04, 19.01, 21.93, 32.24, 31.46, 7.04, 22.96, 20.25, 38.37, 43.73, 50.7, 48.05, 7.08, 61.15, 44.19, 69.41, 11.16, 9.46, 24.55, 24.35, 21.93, 32.24, 35.58, 43.73, 35.33, 60.4, 81.1, 74.45, 77.53, 92.61, 7.08]
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{
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{
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},
{
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},
{
"type": "double",
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"value": [5.85, 86.23, 91.3011, 12.5678, 17.7344, 19.48, 30.69, 29.2033, 7.0489, 21.3122, 21.89, 33.798, 40.6167, 48.8322, 47.2089, 5.7322, 50.8011, 48.0256, 67.36, 10.4367, 11.9467, 23.7956, 22.1656, 19.6833, 31.0567, 34.4933, 40.6511, 35.0544, 60.1711, 66.9144, 67.2522, 68.6611, 92.5933, 5.6811]
}
]
}
{
"type": "list",
"attributes": {
"names": {
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"value": ["CpG#1", "CpG#2", "CpG#3", "CpG#4", "CpG#5", "CpG#6", "CpG#7", "CpG#8", "CpG#9", "row_means"]
},
"row.names": {
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"value": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34]
},
"class": {
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"value": ["data.table", "data.frame"]
},
".internal.selfref": {
"type": "externalptr",
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}
},
"value": [
{
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},
{
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"value": [7.88, 100, 100, 18.52, 20.46, 28.57, 36.78, 38.71, 11.55, 31.54, 20.67, "NA", 47.67, 61.96, 51.24, 10.06, 61.13, 56.85, 77.38, 11.77, 16.56, 25.89, 19.64, 25.87, 36.02, 35.27, 47.01, 36.07, 66.12, 74.16, 81.45, 78.73, 100, 10.69]
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{
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{
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{
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"value": [5.41, 73.57, 81.92, 7.73, 18.15, 13.62, 31.19, 26.23, 7.4, 20.46, 23.67, 35.21, 39.55, 46.6, 44.93, 4.42, 48.99, 34.42, 63.61, 9.87, 12.22, 22.24, 19.09, 18.17, 28.33, 31.37, 41.59, 30.96, 57.76, 67.45, 63.41, 67.7, 88.33, 5.76]
},
{
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{
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{
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"value": [12.64, 85.43, 100, 15.87, 19.6, 26.4, 48.16, 31.17, 10.21, 21.72, 22.7, 35.33, 42.42, 48.27, 54.61, 10.51, 79.16, 51.62, 72.77, 15.27, 13.91, 30.2, 36.45, 28.33, 32.37, 41.02, 66.66, 38.68, 65.65, 76.14, 69.29, 76.81, 100, 7.49]
},
{
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"value": [4.89, 88.69, 97.02, 11.57, 18.58, 14.58, 18.81, 22.85, 4.7, 18.62, 19.01, 29.12, 41.46, 45.95, 46.65, 2.58, 30.24, 49.53, 70.46, 7.46, 8.33, 22.18, 24.66, 10.71, 33.89, 34.8, 23.83, 36.39, 61.53, 63.91, 72.64, 68.1, 100, 3.23]
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{
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}
]
}
{
"type": "list",
"attributes": {
"names": {
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"attributes": {},
"value": ["CpG#1", "CpG#2", "CpG#3", "CpG#4", "CpG#5", "CpG#6", "CpG#7", "CpG#8", "CpG#9", "row_means"]
},
"row.names": {
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"value": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39]
},
"class": {
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"value": ["data.table", "data.frame"]
},
".internal.selfref": {
"type": "externalptr",
"attributes": {},
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}
},
"value": [
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},
{
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},
{
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"value": [3.93, 6.66, 4.35, 4.16, 4.85, 8.92, 14, 8.46, 19.77, 18.95, 22.22, 19.21, 16.43, 19.29, 22.86, 31.02, 30.14, 29.19, 34.67, 38.97, 35.21, 37.8, 45.16, 47.54, 49.56, 47.54, 49.08, 62.97, 60.67, 55.02, 56.79, 60.42, 63.01, 61.2, 88.32, 80.79, 84.73, 86.16, 82.76]
},
{
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"value": [4.71, 8.51, 7.7, 8.44, 4.48, 13.09, 15.98, 14.2, 23.91, 23.21, 23.38, 17.77, 21.6, 31.17, 25.2, 32.29, 31.32, 38.51, 36.82, 41.9, 38.37, 42.14, 53.81, 57.63, 57.15, 51.54, 62, 73.94, 64.5, 52.36, 60.04, 68.86, 69.79, 76.64, 94.37, 90.05, 100, 93.01, 95.03]
},
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},
{
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"value": [5.97, 7.04, 7.08, 7.08, 4.55, 11.16, 9.46, 18.04, 24.35, 21.93, 22.96, 19.01, 21.93, 20.25, 24.55, 32.24, 32.24, 31.46, 35.58, 43.73, 35.33, 43.73, 61.15, 50.7, 44.19, 48.05, 61.15, 69.41, 60.4, 57.71, 60.4, 81.1, 74.45, 77.53, 92.61, 98.7, 100, 88.36, 99.35]
},
{
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"value": [2.96, 4.83, 2.27, 1.99, 2.63, 7.7, 8.71, 4.94, 15.14, 10.8, 14.12, 11.74, 13.13, 17.44, 17.95, 23.39, 17.51, 19.57, 27.21, 22.83, 29.12, 31.85, 27.96, 35.13, 39.38, 35.05, 40.91, 53.04, 44.34, 43.62, 30.56, 44.64, 48.42, 44.51, 75.48, 66.33, 65.4, 71.64, 65.87]
},
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"value": [12.64, 10.21, 10.51, 7.49, 12.48, 15.27, 13.91, 15.87, 36.45, 28.33, 21.72, 19.6, 26.4, 22.7, 30.2, 32.37, 48.16, 31.17, 41.02, 66.66, 38.68, 42.42, 79.16, 48.27, 51.62, 54.61, 58.32, 72.77, 65.65, 63.7, 82.83, 76.14, 69.29, 76.81, 100, 85.43, 100, 100, 92.72]
},
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"value": [4.89, 4.7, 2.58, 3.23, 3.17, 7.46, 8.33, 11.57, 24.66, 10.71, 18.62, 18.58, 14.58, 19.01, 22.18, 33.89, 18.81, 22.85, 34.8, 23.83, 36.39, 41.46, 30.24, 45.95, 49.53, 46.65, 54.68, 70.46, 61.53, 55.39, 35.13, 63.91, 72.64, 68.1, 100, 88.69, 97.02, 100, 92.86]
},
{
"type": "double",
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}
]
}
test normal function of file import of type 2
{
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"names": {
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"value": ["CpG#1", "CpG#2", "CpG#3", "CpG#4", "CpG#5", "CpG#6", "CpG#7", "CpG#8", "CpG#9", "row_means", "CpG_count"]
},
"row.names": {
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"class": {
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"value": ["data.table", "data.frame"]
},
".internal.selfref": {
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}
},
"value": [
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},
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},
{
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{
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