get_params Generates a table of the correlations and means of numeric columns in a data frame
get_params(data, between = c(), within = c(), dv = "y", id = "id", digits = 2) check_sim_stats(data, between = c(), within = c(), dv = "y", id = "id", digits = 2)
| 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 of the dv (if data is long) |
| id | the column name(s) of the subject ID (if data is long) |
| digits | how many digits to round to (default = 2) |
a tbl of correlations, means and sds
get_params(iris, "Species")#> # A tibble: 12 x 9 #> # Groups: Species [3] #> Species n var Sepal.Length Sepal.Width Petal.Length Petal.Width mean #> <fct> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 setosa 50 Sepa… 1 0.74 0.27 0.28 5.01 #> 2 setosa 50 Sepa… 0.74 1 0.18 0.23 3.43 #> 3 setosa 50 Peta… 0.27 0.18 1 0.33 1.46 #> 4 setosa 50 Peta… 0.28 0.23 0.33 1 0.25 #> 5 versic… 50 Sepa… 1 0.53 0.75 0.55 5.94 #> 6 versic… 50 Sepa… 0.53 1 0.56 0.66 2.77 #> 7 versic… 50 Peta… 0.75 0.56 1 0.79 4.26 #> 8 versic… 50 Peta… 0.55 0.66 0.79 1 1.33 #> 9 virgin… 50 Sepa… 1 0.46 0.86 0.28 6.59 #> 10 virgin… 50 Sepa… 0.46 1 0.4 0.54 2.97 #> 11 virgin… 50 Peta… 0.86 0.4 1 0.32 5.55 #> 12 virgin… 50 Peta… 0.28 0.54 0.32 1 2.03 #> # … with 1 more variable: sd <dbl>