effectSize: Effect Size
In frankchien/bmi585flc: BMI 585 Final- Biostatistical Functions.
Description
Usage
Arguments
Details
Value
Examples
Description
Calculates the effect size / Cohen's D given a vector of data and a vector for grouping
Usage
1
effectSize(x, g)
Arguments
x
a vector of doubles with the observations
g
a vector of 1 or 0 indicating grouping.
Details
Computes the effect size by dividing the sample difference by the standard deviation of the pooled sample.
The function takes a vector of observations and a vector of groups in the form of group1 == 1, group2 ==2.
Group 1 and 2 must of same size
Value
Effect Size / Cohen's D
Examples
1
2
3
groups <- c(rep(1,times=50),rep(0,times=50))
modeled_tumor_size <- 4 -2*groups + rnorm(100)
effectSize(modeled_tumor_size, groups)
frankchien/bmi585flc documentation built on Dec. 20, 2021, 8:51 a.m.
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Description Usage Arguments Details Value Examples
Description
Calculates the effect size / Cohen's D given a vector of data and a vector for grouping
Usage
1 | effectSize(x, g)
|
Arguments
x |
a vector of doubles with the observations |
g |
a vector of 1 or 0 indicating grouping. |
Details
Computes the effect size by dividing the sample difference by the standard deviation of the pooled sample. The function takes a vector of observations and a vector of groups in the form of group1 == 1, group2 ==2. Group 1 and 2 must of same size
Value
Effect Size / Cohen's D
Examples
1 2 3 | groups <- c(rep(1,times=50),rep(0,times=50))
modeled_tumor_size <- 4 -2*groups + rnorm(100)
effectSize(modeled_tumor_size, groups)
|
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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