create_model_variables: Takes a flagged dataset created by create_flagged_dataset()
In scoutiii/HTSoutliers: Hrydological and Time Series Outlier Detection Methods
Description
Usage
Arguments
Value
Examples
View source: R/create_model_variables.R
Description
Removes marked WESD values (as they are the only other variable we checked for)
OUTLIER_FINAL is if the SNWD was an outlier
Adds WESD, SNWD, PRCP, SNOW, TMIN, TMAX variables
Usage
1
create_model_variables(data, complete = FALSE)
Arguments
data
a flagged dataset
complete
if true, uses complete.cases
Value
dataset with extra variables
Examples
1
2
# UT <- create_flagged_dataset(get_weather_data("UT"))
# UT_model_variables <- create_model_variables(UT)
scoutiii/HTSoutliers documentation built on April 4, 2021, 4:47 p.m.
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Description Usage Arguments Value Examples
View source: R/create_model_variables.R
Description
Removes marked WESD values (as they are the only other variable we checked for) OUTLIER_FINAL is if the SNWD was an outlier Adds WESD, SNWD, PRCP, SNOW, TMIN, TMAX variables
Usage
1 | create_model_variables(data, complete = FALSE)
|
Arguments
data |
a flagged dataset |
complete |
if true, uses complete.cases |
Value
dataset with extra variables
Examples
1 2 | # UT <- create_flagged_dataset(get_weather_data("UT"))
# UT_model_variables <- create_model_variables(UT)
|
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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