This simulated data set can be used to explore the major function of 'specr'. It provides variables that can be used to mimic different independent and dependent variables, control variables, and grouping variables (for subset analyses).
Usage
data(example_data)Format
A tibble with 1,000 rows and 15 variables (no missing values):
- group1
Grouping variable with three groups ("young", "middle", "old"), e.g. for subset analyses.
- group2
Grouping variable with two groups ("female", "male").
- group3
Grouping variable with three groups ("A", "B", "C").
- x1, x2, x3, x4
Numeric variables that can be used as (alternative) independent variables.
- c1, c2, c3, c4
Numeric variables that can be used as control variables.
- y1, y2, y3, y4
Numeric variables that can be used as (alternative) dependent variables.
Examples
data(example_data)
head(example_data)
#> # A tibble: 6 × 15
#> group1 group2 group3 x1 x2 x3 x4 c1 c2 c3
#> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 middle female C 1.17 -0.363 -0.999 -0.293 0.736 0.171 0.244
#> 2 middle male B 0.765 0.0349 0.129 -0.155 -0.720 0.0165 -0.771
#> 3 old female A -2.33 -0.998 -1.11 -1.27 0.104 -2.90 -6.95
#> 4 old female B -0.507 -0.970 -0.0867 -0.978 1.79 -0.138 -0.431
#> 5 old male A -0.999 0.546 0.901 2.57 -0.245 2.02 2.83
#> 6 middle male A -0.177 -1.37 0.0947 -2.53 0.315 -0.688 -1.33
#> # ℹ 5 more variables: c4 <dbl>, y1 <dbl>, y2 <dbl>, y3 <dbl>, y4 <dbl>