Compare sample proportions across groups
compare_props( dataset, var1, var2, levs = "", alternative = "two.sided", conf_lev = 0.95, comb = "", adjust = "none", data_filter = "", envir = parent.frame() )
| dataset | Dataset |
|---|---|
| var1 | A grouping variable to split the data for comparisons |
| var2 | The variable to calculate proportions for |
| levs | The factor level selected for the proportion comparison |
| alternative | The alternative hypothesis ("two.sided", "greater" or "less") |
| conf_lev | Span of the confidence interval |
| comb | Combinations to evaluate |
| adjust | Adjustment for multiple comparisons ("none" or "bonf" for Bonferroni) |
| data_filter | Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000") |
| envir | Environment to extract data from |
A list of all variables defined in the function as an object of class compare_props
See https://radiant-rstats.github.io/docs/basics/compare_props.html for an example in Radiant
summary.compare_props to summarize results
plot.compare_props to plot results
#> List of 22 #> $ dat_summary:'data.frame': 3 obs. of 9 variables: #> ..$ pclass : Factor w/ 3 levels "1st","2nd","3rd": 1 2 3 #> ..$ Yes : int [1:3] 179 115 131 #> ..$ No : int [1:3] 103 146 369 #> ..$ p : num [1:3] 0.635 0.441 0.262 #> ..$ n : int [1:3] 282 261 500 #> ..$ n_missing: int [1:3] 0 0 0 #> ..$ sd : num [1:3] 0.481 0.496 0.44 #> ..$ se : num [1:3] 0.0287 0.0307 0.0197 #> ..$ me : num [1:3] 0.0562 0.0602 0.0385 #> $ E : num [1:2, 1:2] 84.4 161.6 176.6 338.4 #> ..- attr(*, "dimnames")=List of 2 #> .. ..$ : NULL #> .. ..$ : chr [1:2] "Yes" "No" #> $ pinp : num [1:2, 1:2] 115 131 146 369 #> ..- attr(*, "dimnames")=List of 2 #> .. ..$ : chr [1:2] "2nd" "3rd" #> .. ..$ : chr [1:2] "Yes" "No" #> $ ind : int [1:2] 2 3 #> $ res :'data.frame': 3 obs. of 9 variables: #> ..$ group1 : chr [1:3] "1st" "1st" "2nd" #> ..$ group2 : chr [1:3] "2nd" "3rd" "3rd" #> ..$ chisq.value: num [1:3] 20.6 104.7 25 #> ..$ p.value : num [1:3] 5.73e-06 1.42e-24 5.71e-07 #> ..$ df : num [1:3] 1 1 1 #> ..$ ci_low : num [1:3] 0.112 0.305 0.107 #> ..$ ci_high : num [1:3] 0.277 0.441 0.25 #> ..$ sim : num [1:3] 0 0 0 #> ..$ sig_star : chr [1:3] "***" "***" "***" #> $ cmb :'data.frame': 3 obs. of 2 variables: #> ..$ group1: chr [1:3] "1st" "1st" "2nd" #> ..$ group2: chr [1:3] "2nd" "3rd" "3rd" #> $ prop_input : num [1:3, 1:2] 179 115 131 103 146 369 #> ..- attr(*, "dimnames")=List of 2 #> .. ..$ : chr [1:3] "1st" "2nd" "3rd" #> .. ..$ : chr [1:2] "Yes" "No" #> $ rn : chr [1:3] "1st" "2nd" "3rd" #> $ not_vary : chr(0) #> $ lv : chr [1:3] "1st" "2nd" "3rd" #> $ n_miss_df : tibble [3 × 2] (S3: tbl_df/tbl/data.frame) #> ..$ pclass: Factor w/ 3 levels "1st","2nd","3rd": 1 2 3 #> ..$ n_miss: int [1:3] 0 0 0 #> $ vars : chr "pclass, survived" #> $ df_name : chr "titanic" #> $ dataset : tibble [1,043 × 2] (S3: tbl_df/tbl/data.frame) #> ..$ pclass : Factor w/ 3 levels "1st","2nd","3rd": 1 1 1 1 1 1 1 1 1 1 ... #> ..$ survived: Factor w/ 2 levels "Yes","No": 1 1 2 2 2 1 1 2 1 2 ... #> ..- attr(*, "description")= chr "## Titanic\n\nThis dataset describes the survival status of individual passengers on the Titanic. The titanic d"| __truncated__ #> $ var1 : chr "pclass" #> $ var2 : chr "survived" #> $ levs : chr "" #> $ alternative: chr "two.sided" #> $ conf_lev : num 0.95 #> $ comb : chr "" #> $ adjust : chr "none" #> $ data_filter: chr "" #> - attr(*, "class")= chr [1:2] "compare_props" "list"