add_date_variables: Function to transform a parsed 'date' variable into other...
In skgrange/normalweatherr: An R package to conduct meteorological/weather normalisation on air quality data
Description
Usage
Arguments
Value
Author(s)
Examples
Description
prepare_input_data will check variable names, transform the parsed
date variable into other variables, impute missing data, and make
correct data types.
Usage
1
add_date_variables(df, impute = TRUE)
Arguments
df
Data frame containing air quality data.
impute
Should missing values be imputed? Numeric variables will be
imputed with their median while categorical variables the mode will be used.
Value
Data frame.
Author(s)
Stuart K. Grange
Examples
1
2
3
4
5
6
7
## Not run:
# Prepare data for modelling
data_swiss_daily <- add_date_variables(data_swiss)
## End(Not run)
skgrange/normalweatherr documentation built on May 23, 2019, 9:34 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
prepare_input_data will check variable names, transform the parsed
date variable into other variables, impute missing data, and make
correct data types.
Usage
1 | add_date_variables(df, impute = TRUE)
|
Arguments
df |
Data frame containing air quality data. |
impute |
Should missing values be imputed? Numeric variables will be imputed with their median while categorical variables the mode will be used. |
Value
Data frame.
Author(s)
Stuart K. Grange
Examples
1 2 3 4 5 6 7 | ## Not run:
# Prepare data for modelling
data_swiss_daily <- add_date_variables(data_swiss)
## End(Not run)
|
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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