validate_metadata: Validate Dataset Metadata
In r4subtrace: Traceability Engine for Clinical Submission Readiness
View source: R/validate_inputs.R
validate_metadata R Documentation
Validate Dataset Metadata
Description
Checks that an ADaM or SDTM metadata data.frame contains the required
columns (dataset, variable) and canonicalizes column names to lowercase.
Usage
validate_metadata(df, kind = c("adam", "sdtm"))
Arguments
df
A data.frame of dataset metadata.
kind
Character; "adam" or "sdtm". Used in error messages only.
Value
A tibble with canonicalized column names.
Examples
meta <- data.frame(DATASET = "ADSL", VARIABLE = "SUBJID", LABEL = "Subject ID")
validate_metadata(meta, kind = "adam")
r4subtrace documentation built on March 4, 2026, 1:07 a.m.
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View source: R/validate_inputs.R
| validate_metadata | R Documentation |
Validate Dataset Metadata
Description
Checks that an ADaM or SDTM metadata data.frame contains the required
columns (dataset, variable) and canonicalizes column names to lowercase.
Usage
validate_metadata(df, kind = c("adam", "sdtm"))
Arguments
df |
A data.frame of dataset metadata. |
kind |
Character; |
Value
A tibble with canonicalized column names.
Examples
meta <- data.frame(DATASET = "ADSL", VARIABLE = "SUBJID", LABEL = "Subject ID")
validate_metadata(meta, kind = "adam")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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