Summary method for the explore function

Source: R/explore.R

Summary method for the explore function

# S3 method for explore
summary(object, dec = 3, ...)

Arguments

object

Return value from explore
dec

Number of decimals to show
...

further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/data/explore.html for an example in Radiant

See also

explore to generate summaries

Examples

result <- explore(diamonds, "price:x")
summary(result)
#> Explore
#> Data        : diamonds 
#> Functions   : mean, sd 
#> Top         : Function 
#> 
#>  variable      mean        sd
#>     price 3,907.186 3,956.915
#>     carat     0.794     0.474
#>   clarity     0.013     0.115
#>       cut     0.034     0.180
#>     color     0.127     0.333
#>     depth    61.753     1.446
#>     table    57.465     2.241
#>         x     5.722     1.124
result <- explore(diamonds, "price", byvar = "cut", fun = c("n_obs", "skew"))
summary(result)
#> Explore
#> Data        : diamonds 
#> Grouped by  : cut 
#> Functions   : n_obs, skew 
#> Top         : Function 
#> 
#>        cut variable n_obs  skew
#>       Fair    price   101 1.574
#>       Good    price   275 1.489
#>  Very Good    price   677 1.601
#>    Premium    price   771 1.413
#>      Ideal    price 1,176 1.799
explore(diamonds, "price:x", byvar = "color") %>% summary()
#> Explore
#> Data        : diamonds 
#> Grouped by  : color 
#> Functions   : mean, sd 
#> Top         : Function 
#> 
#>  color variable      mean        sd
#>      D    price 3,217.003 3,278.276
#>      D    carat     0.665     0.365
#>      D  clarity     0.010     0.102
#>      D      cut     0.039     0.194
#>      D    depth    61.705     1.452
#>      D    table    57.438     2.269
#>      D        x     5.437     0.943
#>      E    price 3,284.596 3,610.872
#>      E    carat     0.679     0.391
#>      E  clarity     0.009     0.095
#>      E      cut     0.025     0.157
#>      E    depth    61.768     1.391
#>      E    table    57.548     2.262
#>      E        x     5.455     0.999
#>      F    price 3,654.492 3,779.511
#>      F    carat     0.728     0.405
#>      F  clarity     0.019     0.138
#>      F      cut     0.030     0.171
#>      F    depth    61.686     1.396
#>      F    table    57.428     2.275
#>      F        x     5.590     1.016
#>      G    price 3,970.573 4,002.082
#>      G    carat     0.774     0.451
#>      G  clarity     0.008     0.091
#>      G      cut     0.027     0.162
#>      G    depth    61.669     1.404
#>      G    table    57.341     2.133
#>      G        x     5.686     1.094
#>      H    price 4,250.302 4,063.648
#>      H    carat     0.880     0.503
#>      H  clarity     0.018     0.132
#>      H      cut     0.046     0.210
#>      H    depth    61.841     1.463
#>      H    table    57.464     2.208
#>      H        x     5.914     1.186
#>      I    price 4,869.190 4,570.572
#>      I    carat     1.001     0.573
#>      I  clarity     0.018     0.132
#>      I      cut     0.039     0.193
#>      I    depth    61.938     1.620
#>      I    table    57.446     2.160
#>      I        x     6.163     1.251
#>      J    price 5,642.012 4,574.576
#>      J    carat     1.193     0.602
#>      J  clarity     0.012     0.110
#>      J      cut     0.043     0.203
#>      J    depth    61.779     1.549
#>      J    table    57.863     2.563
#>      J        x     6.578     1.237