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
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
)the existing tbl
a vector of column names for between-subject factors
a vector of column names for within-subject factors (if data is long)
the column name(s) of the dv, if NULL all numeric columns will be selected
the column name(s) of the subject ID, excluded from the table even if numeric
how many digits to round to (default = 2)
a tbl of correlations, means and sds
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