Summary method for the crtree function

# S3 method for crtree
summary(object, prn = TRUE, splits = FALSE, cptab = FALSE, modsum = FALSE, ...)

Arguments

object	Return value from `crtree`
prn	Print tree in text form
splits	Print the tree splitting metrics used
cptab	Print the cp table
modsum	Print the model summary
...	further arguments passed to or from other methods

Details

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

Examples

result <- crtree(titanic, "survived", c("pclass", "sex"), lev = "Yes")
summary(result)
#> Classification tree
#> Data                 : titanic
#> Response variable    : survived
#> Level                : Yes in survived
#> Explanatory variables: pclass, sex 
#> Complexity parameter : 0.001 
#> Minimum observations : 2 
#> Nr obs               : 1,043 
#> 
#> node), split, n, loss, yval, (yprob)
#>       * denotes terminal node
#> 
#> 1) root 1043 425 No (0.40747843 0.59252157)  
#>   2) sex=female 386  96 Yes (0.75129534 0.24870466)  
#>     4) pclass=1st,2nd 234  16 Yes (0.93162393 0.06837607) *
#>     5) pclass=3rd 152  72 No (0.47368421 0.52631579) *
#>   3) sex=male 657 135 No (0.20547945 0.79452055) *
result <- crtree(diamonds, "price", c("carat", "color"), type = "regression")
summary(result)
#> Regression tree
#> Data                 : diamonds
#> Response variable    : price
#> Explanatory variables: carat, color 
#> Complexity parameter : 0.001 
#> Minimum observations : 2 
#> Nr obs               : 3,000 
#> 
#> node), split, n, deviance, yval
#>       * denotes terminal node
#> 
#>  1) root 3000 46955880000  3907.1860  
#>    2) carat< 0.985 1935  2372900000  1618.3500  
#>      4) carat< 0.645 1392   380268800  1050.3640  
#>        8) carat< 0.445 976    53669310   779.0041 *
#>        9) carat>=0.445 416    86114590  1687.0170 *
#>      5) carat>=0.645 543   392351300  3074.4030  
#>       10) carat< 0.835 385   141250000  2743.9140 *
#>       11) carat>=0.835 158   106584800  3879.7090 *
#>    3) carat>=0.985 1065 16028000000  8065.7750  
#>      6) carat< 1.405 715  3304451000  6073.9550  
#>       12) color=H,I,J 255   319335200  5102.8240  
#>         24) carat< 1.195 168   103927100  4650.5890 *
#>         25) carat>=1.195 87   114701700  5976.1030 *
#>       13) color=D,E,F,G 460  2611311000  6612.3000  
#>         26) carat< 1.125 345  1332882000  6036.3540  
#>           52) carat< 1.035 230   591161500  5622.1260 *
#>           53) carat>=1.035 115   623327300  6864.8090 *
#>         27) carat>=1.125 115   820663700  8340.1390  
#>           54) carat< 1.255 85   496929600  7741.9880 *
#>           55) carat>=1.255 30   207156000 10034.9000 *
#>      7) carat>=1.405 350  4092028000 12134.7800  
#>       14) carat< 1.92 222  1737666000 10614.4000  
#>         28) color=H,I,J 116   500025900  9294.2070  
#>           56) carat< 1.535 68   227988500  8493.4850 *
#>           57) carat>=1.535 48   166674200 10428.5600 *
#>         29) color=D,E,F,G 106   814213500 12059.1300 *
#>       15) carat>=1.92 128   951174900 14771.6900  
#>         30) carat< 2.125 80   658765300 14061.3100  
#>           60) color=G,I,J 45   316470200 13070.9800 *
#>           61) color=D,E,F,H 35   241416700 15334.6000 *
#>         31) carat>=2.125 48   184754600 15955.6500 *

Summary method for the crtree function

Arguments

Details

See also

Examples