bootstrap_freq: Bootstrapping analysis of random occurence
In hrvg/regionaldrivers: Statistical analysis of regional drivers for classifications
Description
Usage
Arguments
Value
View source: R/bootstrap_freq.R
Description
Bootstrapping analysis of random occurence
Usage
1
bootstrap_freq(df, bin_toggle = 1)
Arguments
df
a 'data.frame' that should include two columns with two groupings 'class' (classification group that is held steady) and 'testGrouping' (binned attribute that may explain class distribution)
bin_toggle
'numeric', optional, determines which direction to run the bootstrapping: '1' tests the likelihood from random that the class occurs preferentially or not within a testGrouping, default, likely the value to use; '2' tests the opposite direction from '1'
Value
a list of 2: (1) The p-value of each class-testGrouping pair. If the value is less than 0.05, then the pair frequency is significantly different from random with a 95
hrvg/regionaldrivers documentation built on June 20, 2021, 7:50 a.m.
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Description Usage Arguments Value
View source: R/bootstrap_freq.R
Description
Bootstrapping analysis of random occurence
Usage
1 | bootstrap_freq(df, bin_toggle = 1)
|
Arguments
df |
a 'data.frame' that should include two columns with two groupings 'class' (classification group that is held steady) and 'testGrouping' (binned attribute that may explain class distribution) |
bin_toggle |
'numeric', optional, determines which direction to run the bootstrapping: '1' tests the likelihood from random that the class occurs preferentially or not within a testGrouping, default, likely the value to use; '2' tests the opposite direction from '1' |
Value
a list of 2: (1) The p-value of each class-testGrouping pair. If the value is less than 0.05, then the pair frequency is significantly different from random with a 95
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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