draw_sample_normal: Draw Samples from a Normal Distribution

In sprtt: Sequential Probability Ratio Tests Toolbox

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

sprtt documentation built on July 9, 2023, 6:14 p.m.