理解R中的事务类输出?
如果我运行一个类事务对象的摘要,并参考关联规则挖掘,是否有人会对输出有所帮助。例如:理解R中的事务类输出?,r,market-basket-analysis,R,Market Basket Analysis,如果我运行一个类事务对象的摘要,并参考关联规则挖掘,是否有人会对输出有所帮助。例如: transactions as itemMatrix in sparse format with 510 rows (elements/itemsets/transactions) and 8361 columns (items) and a density of 0.003117649 most frequent items: PREPAC
transactions as itemMatrix in sparse format with
510 rows (elements/itemsets/transactions) and
8361 columns (items) and a density of 0.003117649
most frequent items:
PREPACK CARROTS 1EACH HASS AVOCADO 1EACH. 2 AT 3.00 EACH. AVOCADOS 2 FOR 5
54 51
COLES EGGS FR RANGE 700GRAM COLES DAIRY MILK 2LITRE
41 31
DAIRY FARMERS DAIRY 2LITRE (Other)
29 13088
element (itemset/transaction) length distribution:
sizes
2 3 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38
1 1 5 8 9 9 13 11 12 16 17 12 13 14 15 19 15 17 18 26 18 18 11 8 16 10 8 10 14 11 6 9 8 8 9 6
39 40 41 42 43 44 45 47 48 49 50 51 52 53 54 56 57 58 59 62 63 64 68 69 72 73 74 78 81 86 87
7 6 5 2 8 4 5 4 2 2 4 5 1 3 2 4 6 4 2 2 1 1 1 1 1 1 1 1 1 1 1
Min. 1st Qu. Median Mean 3rd Qu. Max.
2.00 16.00 23.00 26.07 34.00 87.00
includes extended item information - examples:
labels
1 1
2 10
3 100
以上是从我的事务数据生成的输出。我已经阅读了R文档,但是元素(itemset/transaction)长度分布是什么?标签呢
谢谢 请提供@wusel第11部分的总结,我只是想简单介绍一下输出以及它告诉我们什么?