draw_sample_normal {sprtt} | R Documentation |
Draw Samples from a Normal Distribution
Description
Draws exemplary samples with a certain effect size for the sequential one-oway ANOVA or the sequential t-test, see Steinhilber et al. (2023) doi:10.31234/osf.io/m64ne
Usage
draw_sample_normal(k_groups, f, max_n, sd = NULL, sample_ratio = NULL)
Arguments
k_groups |
number of groups (levels of factor_A) |
f |
Cohen's f. The simulated effect size. |
max_n |
sample size for the groups (total sample size = max_n*k_groups) |
sd |
vector of standard deviations of the groups. Default value is 1 for each group. |
sample_ratio |
vector of sample ratios between th groups. Default value is 1 for each group. |
Value
returns a data.frame with the columns y (observations) and x (factor_A).
Examples
set.seed(333)
data <- sprtt::draw_sample_normal(
k_groups = 2,
f = 0.20,
max_n = 2
)
data
data <- sprtt::draw_sample_normal(
k_groups = 4,
f = 0,
max_n = 2,
sd = c(1, 2, 1, 8)
)
data
data <- sprtt::draw_sample_normal(
k_groups = 3,
f = 0.40,
max_n = 2,
sd = c(1, 0.8, 1),
sample_ratio = c(1, 2, 3)
)
data
[Package sprtt version 0.2.0 Index]