clean_data: clean_data
In HorridTom/clahrcnwlhf: Heart Failure Care Bundle Project Analysis, CLAHRC NWL
Description
Usage
Arguments
Value
Description
This function cleans the raw data by performing the following steps:
Remove leading and trailing whitespace from any character fields!
Replace any instances of NULL or #N/A in character fields with NA
Convert the following columns to factors: AgeBand, EthnicGroup, Sex,
AdmissionMethodCode, AdmissionType, CSPLastWard
Convert the following columns from character to Date format:
the following columns of the raw data:
AdmissionDate, DischargeDate, EpisodeStartDate, EpisodeEndDate
Usage
1
clean_data(df, restrict_disch_date = TRUE)
Arguments
df
the data frame containing the episode data to be cleaned
Value
A data frame containing the cleaned data
HorridTom/clahrcnwlhf documentation built on May 7, 2019, 4:02 a.m.
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Description Usage Arguments Value
Description
This function cleans the raw data by performing the following steps:
Remove leading and trailing whitespace from any character fields!
Replace any instances of NULL or #N/A in character fields with NA
Convert the following columns to factors: AgeBand, EthnicGroup, Sex, AdmissionMethodCode, AdmissionType, CSPLastWard
Convert the following columns from character to Date format: the following columns of the raw data: AdmissionDate, DischargeDate, EpisodeStartDate, EpisodeEndDate
Usage
1 | clean_data(df, restrict_disch_date = TRUE)
|
Arguments
df |
the data frame containing the episode data to be cleaned |
Value
A data frame containing the cleaned data
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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