trim_mean_sd: Trimmed Mean and Standard Deviation
In muschellij2/msseg: Segmentation of Lesions for Multiple Sclerosis
Description
Usage
Arguments
Value
Examples
Description
Calculates both trimmed mean and standard deviation from a vector
Usage
1
trim_mean_sd(x, trim = 0.2)
Arguments
x
numeric vector
trim
value between 0 and 0.5, percent trim from each side of the distribution.
Calculates quantiles for trim and 1-trim and sets values outside to NA
Value
Vector of length 2, with mean/sd named elements
Examples
1
2
x = rnorm(100)
trim_mean_sd(x)
muschellij2/msseg documentation built on May 23, 2019, 9:53 a.m.
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Description Usage Arguments Value Examples
Description
Calculates both trimmed mean and standard deviation from a vector
Usage
1 | trim_mean_sd(x, trim = 0.2)
|
Arguments
x |
numeric vector |
trim |
value between 0 and 0.5, percent trim from each side of the distribution.
Calculates quantiles for |
Value
Vector of length 2, with mean/sd named elements
Examples
1 2 | x = rnorm(100)
trim_mean_sd(x)
|
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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