Thanks to visit codestin.com
Credit goes to github.com

Skip to content

534 dataset growing mt example #535

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
hillarymarler merged 2 commits into from
Oct 22, 2024
Merged

534 dataset growing mt example #535

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
bfc8ba4
Update UnitConversions.R
hillarymarler Oct 22, 2024
1b73ab5
Update UnitConversions.R
hillarymarler Oct 22, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 6 additions & 5 deletions R/UnitConversions.R
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -593,13 +593,14 @@ TADA_ConvertResultUnits <- function(.data, ref = "tada", transform = TRUE) {
# create detection unit ref
det.ref <- unit.ref %>%
dplyr::ungroup() %>%
dplyr::rename(DetectionQuantitationLimitMeasure.MeasureUnitCode = ResultMeasure.MeasureUnitCode) %>%
dplyr::select(-TADA.ResultMeasure.MeasureUnitCode) %>%
dplyr::rename(DetectionQuantitationLimitMeasure.MeasureUnitCode = ResultMeasure.MeasureUnitCode,
TADA.DetectionQuantitationLimitMeasure.MeasureUnitCode = TADA.ResultMeasure.MeasureUnitCode) %>%
dplyr::distinct()

det.join <- c(
"TADA.CharacteristicName",
"DetectionQuantitationLimitMeasure.MeasureUnitCode"
"DetectionQuantitationLimitMeasure.MeasureUnitCode",
"TADA.DetectionQuantitationLimitMeasure.MeasureUnitCode"
)

# Transform TADA.DetectionQuantitationLimitMeasure.MeasureValue value to target value only if target unit exists
Expand All @@ -608,10 +609,10 @@ TADA_ConvertResultUnits <- function(.data, ref = "tada", transform = TRUE) {
dplyr::left_join(det.ref, by = det.join) %>%
# apply conversions where there is a target unit, use original value if no target unit
dplyr::mutate(TADA.DetectionQuantitationLimitMeasure.MeasureValue = dplyr::case_when(
!is.na(TADA.Target.ResultMeasure.MeasureUnitCode) ~ ((TADA.DetectionQuantitationLimitMeasure.MeasureValue - TADA.WQXUnitConversionCoefficient) * TADA.WQXUnitConversionFactor),
is.na(TADA.DetectionQuantitationLimitMeasure.MeasureValue) ~ TADA.DetectionQuantitationLimitMeasure.MeasureValue,
!is.na(TADA.Target.ResultMeasure.MeasureUnitCode) ~ ((TADA.DetectionQuantitationLimitMeasure.MeasureValue + TADA.WQXUnitConversionCoefficient) * TADA.WQXUnitConversionFactor),
is.na(TADA.Target.ResultMeasure.MeasureUnitCode) ~ TADA.DetectionQuantitationLimitMeasure.MeasureValue
))

rm(clean.data)

# populate TADA.DetectionQuantitationLimitMeasure.MeasureUnitCode
Expand Down