processFlow: processFlow Handles the process flow for the whole package
In eauleaf/dataReviewR: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
View source: R/pf_processFlow.R
Description
processFlow Handles the process flow for the whole package
Usage
1
processFlow(df, roundDigits, trimChars, clean_var_names, argsIn)
Arguments
df
Dataframe. The data frame to be reviewed
roundDigits
Integer. If NA, numerics are not rounded before comparison. If /coderoundDigits is specified, numerics are
rounded to /coderoundDigits decimal places using round.
trimChars
Boolean. Do we trim characters before comparing?
clean_var_names
User defined boolean indicating whether to clean the variable names using janitor::clean_names, DEFAULT = T
argsIn
The arguments that were passed to the main data_reviewer R function
Value
dataCompareRObject containing details of the comparison
eauleaf/dataReviewR documentation built on Dec. 20, 2021, 3:11 a.m.
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Description Usage Arguments Value
View source: R/pf_processFlow.R
Description
processFlow Handles the process flow for the whole package
Usage
1 | processFlow(df, roundDigits, trimChars, clean_var_names, argsIn)
|
Arguments
df |
Dataframe. The data frame to be reviewed |
roundDigits |
Integer. If NA, numerics are not rounded before comparison. If /coderoundDigits is specified, numerics are rounded to /coderoundDigits decimal places using round. |
trimChars |
Boolean. Do we trim characters before comparing? |
clean_var_names |
User defined boolean indicating whether to clean the variable names using janitor::clean_names, DEFAULT = T |
argsIn |
The arguments that were passed to the main data_reviewer R function |
Value
dataCompareRObject containing details of the comparison
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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