data_normal_sample: Testing dataset of grouped Normal distributions
In iamamutt/ggdistribute: A 'ggplot2' Extension for Plotting Unimodal Distributions
Description
Usage
Arguments
Value
Examples
Description
Testing dataset of grouped Normal distributions
Usage
1
2
data_normal_sample(mu = c(-0.5, 4), n = 500L, sd_range = c(0.6, 1.4),
seed = 19850519)
Arguments
mu
Means for each group. A numeric vector with the length
corresponding to the number of groups.
n
Number of observations for each group. Length 1 integer.
sd_range
The min and max to use for standard deviations. Length 2
seed
A seed value to generate the same sample. numeric vector.
Value
A data.frame with the following variables: Group, Condition,
value.
Examples
1
data_normal_sample(0, 100)
iamamutt/ggdistribute documentation built on May 8, 2019, 3:12 a.m.
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Description Usage Arguments Value Examples
Description
Testing dataset of grouped Normal distributions
Usage
1 2 | data_normal_sample(mu = c(-0.5, 4), n = 500L, sd_range = c(0.6, 1.4),
seed = 19850519)
|
Arguments
mu |
Means for each group. A numeric vector with the length corresponding to the number of groups. |
n |
Number of observations for each group. Length 1 integer. |
sd_range |
The min and max to use for standard deviations. Length 2 |
seed |
A seed value to generate the same sample. numeric vector. |
Value
A data.frame with the following variables: Group, Condition,
value.
Examples
1 | data_normal_sample(0, 100)
|
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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