Generates a table of the correlations and means of numeric columns in a data frame. If data was generated by sim_design and has a "design" attribute, between, within, dv and id are retrieved from that, unless overridden (use between = 0 to
Usage
get_params(
data,
between = NULL,
within = NULL,
dv = NULL,
id = NULL,
digits = 2
)
check_sim_stats(
data,
between = NULL,
within = NULL,
dv = NULL,
id = NULL,
digits = 2
)Arguments
- data
the existing tbl
- between
a vector of column names for between-subject factors
- within
a vector of column names for within-subject factors (if data is long)
- dv
the column name(s) of the dv, if NULL all numeric columns will be selected
- id
the column name(s) of the subject ID, excluded from the table even if numeric
- digits
how many digits to round to (default = 2)
Examples
get_params(iris, "Species")
#> Species n var Sepal.Length Sepal.Width Petal.Length Petal.Width
#> 1 setosa 50 Sepal.Length 1.00 0.74 0.27 0.28
#> 2 setosa 50 Sepal.Width 0.74 1.00 0.18 0.23
#> 3 setosa 50 Petal.Length 0.27 0.18 1.00 0.33
#> 4 setosa 50 Petal.Width 0.28 0.23 0.33 1.00
#> 5 versicolor 50 Sepal.Length 1.00 0.53 0.75 0.55
#> 6 versicolor 50 Sepal.Width 0.53 1.00 0.56 0.66
#> 7 versicolor 50 Petal.Length 0.75 0.56 1.00 0.79
#> 8 versicolor 50 Petal.Width 0.55 0.66 0.79 1.00
#> 9 virginica 50 Sepal.Length 1.00 0.46 0.86 0.28
#> 10 virginica 50 Sepal.Width 0.46 1.00 0.40 0.54
#> 11 virginica 50 Petal.Length 0.86 0.40 1.00 0.32
#> 12 virginica 50 Petal.Width 0.28 0.54 0.32 1.00
#> mean sd
#> 1 5.01 0.35
#> 2 3.43 0.38
#> 3 1.46 0.17
#> 4 0.25 0.11
#> 5 5.94 0.52
#> 6 2.77 0.31
#> 7 4.26 0.47
#> 8 1.33 0.20
#> 9 6.59 0.64
#> 10 2.97 0.32
#> 11 5.55 0.55
#> 12 2.03 0.27