Classification Summary Level Selection

[DustinMLong]

orsf_summarize_uni gives summary for the first class by default. Would it be helpful to include an input allowing users to select the class to summarize? In the reproducible example below, the printed summary is limited to Adelie penguin. The summaries for all classes are included in the orsf_summarize_uni object but having a way to print them directly would be useful.

library(aorsf)

fit =  orsf(species ~ ., data = penguins_orsf)

smry = orsf_summarize_uni(fit)
smry
#> 
#> -- bill_length_mm (VI Rank: 1) -------------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean     Median      25th %    75th %
#>       36.6 0.7044331 0.85955664 0.344965208 0.9625072
#>       39.5 0.6535697 0.80727711 0.266058440 0.9468242
#>       44.5 0.3697256 0.34953660 0.035810945 0.6409438
#>       48.6 0.2234635 0.14498102 0.008626836 0.4262582
#>       50.8 0.1896335 0.09561501 0.009713793 0.3866315
#> 
#> -- island (VI Rank: 2) ---------------------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean    Median     25th %    75th %
#>     Biscoe 0.5007671 0.4513207 0.01346324 0.9491816
#>      Dream 0.4360160 0.1990975 0.07250154 0.8740631
#>  Torgersen 0.6220022 0.6459860 0.22850515 0.9810957
#> 
#> -- flipper_length_mm (VI Rank: 3) ----------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean    Median     25th %    75th %
#>        185 0.5910941 0.3937772 0.30187167 0.9552354
#>        190 0.5645121 0.3637454 0.26707447 0.9433666
#>        197 0.4952256 0.2889080 0.18181057 0.8831356
#>        213 0.3292072 0.1116319 0.02213975 0.6602175
#>        221 0.3025870 0.1087965 0.01011283 0.6184659
#> 
#> -- bill_depth_mm (VI Rank: 4) --------------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean    Median      25th %    75th %
#>       14.3 0.3560189 0.1540067 0.008714118 0.7293553
#>       15.6 0.3943511 0.1673597 0.045879915 0.7901435
#>       17.3 0.4651208 0.2253786 0.106483255 0.9155495
#>       18.7 0.5094000 0.2998837 0.133393326 0.9473630
#>       19.5 0.5276217 0.3456728 0.162150077 0.9524491
#> 
#> -- sex (VI Rank: 5) ------------------------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean    Median     25th %    75th %
#>     female 0.4217927 0.1468877 0.02271961 0.8977797
#>       male 0.4742529 0.3384249 0.05131323 0.9453019
#> 
#> -- body_mass_g (VI Rank: 6) ----------------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean    Median      25th %    75th %
#>       3300 0.4825696 0.2233228 0.121143276 0.9339286
#>       3550 0.4750676 0.2110828 0.101099039 0.9372102
#>       4050 0.4638683 0.2262442 0.076359495 0.9343941
#>       4775 0.4356364 0.2836723 0.032402907 0.8618333
#>       5440 0.4154148 0.2934098 0.009086565 0.8180788
#> 
#> -- year (VI Rank: 7) -----------------------------------
#> 
#>            |--------------- Probability ---------------|
#>      Value      Mean    Median     25th %    75th %
#>       2007 0.4324757 0.1512571 0.01277177 0.9280795
#>       2008 0.4436049 0.1834657 0.01505514 0.9434973
#>       2009 0.4511092 0.1993108 0.01914280 0.9450677
#> 
#>  Predicted probability for top 7 predictors

^{Created on 2024-03-22 with reprex v2.1.0}

[bcjaeger]

Fixed with #57