SESOI_upper_validity_func: SESOI upper threshold for 'validity_analysis'
In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics
Description
Usage
Arguments
Value
Examples
View source: R/validity_analysis.R
Description
SESOI upper threshold for validity_analysis
Usage
1
SESOI_upper_validity_func(data, criterion, practical, na.rm = FALSE)
Arguments
data
Data frame
criterion
Character vector. Column name in data data frame
practical
Character vector. Column name in data data frame
na.rm
Should NAs be removed? Default is FALSE
Value
SD of criterion column of the data
data frame multiplied by 0.2 (Cohen's trivial)
Examples
1
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3
4
5
6
data("agreement_data")
SESOI_upper_validity_func(
data = agreement_data,
criterion = "Criterion_score.trial1",
practical = "Practical_score.trial1"
)
mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.
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Description Usage Arguments Value Examples
View source: R/validity_analysis.R
Description
SESOI upper threshold for validity_analysis
Usage
1 | SESOI_upper_validity_func(data, criterion, practical, na.rm = FALSE)
|
Arguments
data |
Data frame |
criterion |
Character vector. Column name in |
practical |
Character vector. Column name in |
na.rm |
Should NAs be removed? Default is |
Value
SD of criterion column of the data
data frame multiplied by 0.2 (Cohen's trivial)
Examples
1 2 3 4 5 6 | data("agreement_data")
SESOI_upper_validity_func(
data = agreement_data,
criterion = "Criterion_score.trial1",
practical = "Practical_score.trial1"
)
|
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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