Summarise samples of continuous data

summary() summarises the sampled data and provides the minimum, first quartile, median, mean, third quartile, and maximum values for each variable.

Usage

# S3 method for class 'cont_sample'
summary(object, ..., var = "all")

Arguments

object

an object of class cont_sample created by the function cont_sample_data.

...

Unused arguments, included only for future extensions of the function.

var

character vector with the names of the variables to summarise. If var = "all", all variables are summarised.

Value

A tibble with the summary statistics.

See also

Other cont data helpers: cont_add_data(), cont_get_data(), cont_sample_data(), cont_start()

Author

Sergio Vignali

Examples

# Create the elict object and add data for the first and second round from a
# data.frame.
my_elicit <- cont_start(var_names = c("var1", "var2", "var3"),
                        var_types = "ZNp",
                        elic_types = "134",
                        experts = 6) |>
  cont_add_data(x, data_source = round_1, round = 1) |>
  cont_add_data(data_source = round_2, round = 2)
#> ✔ <elic_cont> object for "Elicitation" correctly initialised
#> ✔ Data added to "Round 1" from "data.frame"
#> ✔ Data added to "Round 2" from "data.frame"

# Sample data for the second round for all variables
samp <- cont_sample_data(my_elicit, round = 2)
#> ✔ Rescaled min and max for variable "var3".
#> ✔ Data for "var1", "var2", and "var3" sampled successfully using the "basic" method.

# Summarise the sampled data for all variables
summary(samp)
#> # A tibble: 3 × 7
#>   Var      Min     Q1 Median   Mean     Q3    Max
#>   <chr>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#> 1 var1  -4     -2     -2     -1.02   1      1    
#> 2 var2  11.0   14.5   16.3   16.3   18.4   22.6  
#> 3 var3   0.492  0.671  0.716  0.715  0.762  0.873

# Summarise the sampled data for the variable "var1"
summary(samp, var = "var1")
#> # A tibble: 1 × 7
#>   Var     Min    Q1 Median  Mean    Q3   Max
#>   <chr> <dbl> <dbl>  <dbl> <dbl> <dbl> <dbl>
#> 1 var1     -4    -2     -2 -1.02     1     1

# Summarise the sampled data for the variables "var1" and "var3"
summary(samp, var = c("var1", "var3"))
#> # A tibble: 2 × 7
#>   Var      Min     Q1 Median   Mean    Q3   Max
#>   <chr>  <dbl>  <dbl>  <dbl>  <dbl> <dbl> <dbl>
#> 1 var1  -4     -2     -2     -1.02  1     1    
#> 2 var3   0.492  0.671  0.716  0.715 0.762 0.873