split_airnow_data: split_airnow_data
In raffscallion/rapidfire: relatively accurate particulate information derived from inputs retrieved easily
split_airnow_data R Documentation
split_airnow_data
Description
Create a training and test data set - test dataset is a fraction of the
samples, chosen randomly for each day.
Usage
split_airnow_data(df, test_fraction = 0.3, seed = 1977)
Arguments
df
A SpatialPointsDataFrame from recast_monitors. Can
include AirNow and/or AIRSIS data.
test_fraction
The fraction of data to withold as the test data set.
Default is 0.3.
seed
numeric A starting randomization seed. Default is 1977.
Value
A list with two SpatialPointsDataFrames, test and train
Examples
mon_split <- split_airnow_data(an_ws, test_fraction = 0.3)
raffscallion/rapidfire documentation built on June 1, 2025, 2:04 p.m.
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| split_airnow_data | R Documentation |
split_airnow_data
Description
Create a training and test data set - test dataset is a fraction of the samples, chosen randomly for each day.
Usage
split_airnow_data(df, test_fraction = 0.3, seed = 1977)
Arguments
df |
A SpatialPointsDataFrame from |
test_fraction |
The fraction of data to withold as the test data set. Default is 0.3. |
seed |
numeric A starting randomization seed. Default is 1977. |
Value
A list with two SpatialPointsDataFrames, test and train
Examples
mon_split <- split_airnow_data(an_ws, test_fraction = 0.3)
R Package Documentation
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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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