rnorm_cont: Generate contaminated normally distributed data
In floatofmath/adaperm: Permutation tests for adaptive designs
Description
Usage
Arguments
Value
Author(s)
Description
Simulate from a contaminated normal distribution. A proportion csd of random samples are scaled by csd and randomly shifted to the left or right by cshift.
Usage
1
rnorm_cont(n, mean = 0, sd = 1, cprop = 0.1, cshift = 3, csd = sd)
Arguments
n
number of observations
mean
mean value
sd
standard deviation
cprop
proportion of contaminated samples
cshift
mean shift of contaminated samples
csd
standard deviation of contaminated samples
Value
vector with n pseudo random numbers
Author(s)
Florian Klinglmueller
floatofmath/adaperm documentation built on May 16, 2019, 1:18 p.m.
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Description Usage Arguments Value Author(s)
Description
Simulate from a contaminated normal distribution. A proportion csd of random samples are scaled by csd and randomly shifted to the left or right by cshift.
Usage
1 | rnorm_cont(n, mean = 0, sd = 1, cprop = 0.1, cshift = 3, csd = sd)
|
Arguments
n |
number of observations |
mean |
mean value |
sd |
standard deviation |
cprop |
proportion of contaminated samples |
cshift |
mean shift of contaminated samples |
csd |
standard deviation of contaminated samples |
Value
vector with n pseudo random numbers
Author(s)
Florian Klinglmueller
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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