Data Science Desktop Survival Guide by Graham Williams
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The Original C5.0 Implementation

The C50 package interfaces the original C code of the C5.0 implementation by Ross Quinlan, the developer of the decision tree induction algorithm.

library(C50)
model <- C5.0(form, ds[tr, vars])

model

## 
## Call:
## C5.0.formula(formula=form, data=ds[tr, vars])
## 
## Classification Tree
## Number of samples: 123722 
## Number of predictors: 20 
## 
## Tree size: 845 
## 
## Non-standard options: attempt to group attributes

C5imp(model)

##                 Overall
## humidity_3pm     100.00
## sunshine          90.80
## wind_gust_speed   89.91
## rain_today        88.29
## pressure_3pm      36.63
## pressure_9am      25.09
## cloud_3pm         19.31
## rainfall          18.42
## temp_9am          14.99
## wind_dir_3pm      12.89
## temp_3pm          10.27
## wind_speed_9am    10.27
## wind_speed_3pm     9.98
## humidity_9am       9.74
## cloud_9am          8.49
## wind_dir_9am       7.55
## wind_gust_dir      7.17
## min_temp           6.07
## evaporation        4.22
## max_temp           2.14

plot(model)

I am not aware of any converter from a C5.0 tree to an rpart tree and so fancyRpartPlot() will not be useful here.