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我有一個來自excel csv文件的1-0矩陣數據,用於購物籃分析以應用關聯規則。但是,程序找不到任何規則。可能它讀取0和1作爲字符串。當我將它們轉換爲數字時,程序會給出錯誤,並且不能再次生成任何規則。如何將1-0 excel csv文件轉換爲R作爲二進制矩陣?
如何將它轉換爲二進制變量才能用於關聯規則查找?
> y <- read.transactions("C:/Users/toshıba pc/Desktop/2009.csv")
Warning message:
In asMethod(object) : removing duplicated items in transactions
> rules <- apriori(y, parameter=list(supp=0.1, conf=0.8))
Apriori
Parameter specification:
confidence minval smax arem aval originalSupport maxtime support minlen maxlen target ext
0.8 0.1 1 none FALSE TRUE 5 0.1 1 10 rules FALSE
Algorithmic control:
filter tree heap memopt load sort verbose
0.1 TRUE TRUE FALSE TRUE 2 TRUE
Absolute minimum support count: 52
set item appearances ...[0 item(s)] done [0.00s].
set transactions ...[553 item(s), 521 transaction(s)] done [0.00s].
sorting and recoding items ... [0 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 done [0.00s].
writing ... [0 rule(s)] done [0.00s].
creating S4 object ... done [0.00s].
> rules <- apriori(y, parameter=list(supp=0.01, conf=0.8))
Apriori
Parameter specification:
confidence minval smax arem aval originalSupport maxtime support minlen maxlen target ext
0.8 0.1 1 none FALSE TRUE 5 0.01 1 10 rules FALSE
Algorithmic control:
filter tree heap memopt load sort verbose
0.1 TRUE TRUE FALSE TRUE 2 TRUE
Absolute minimum support count: 5
set item appearances ...[0 item(s)] done [0.00s].
set transactions ...[553 item(s), 521 transaction(s)] done [0.00s].
sorting and recoding items ... [0 item(s)] done [0.00s].
creating transaction tree ... done [0.00s].
checking subsets of size 1 done [0.00s].
writing ... [0 rule(s)] done [0.00s].
creating S4 object ... done [0.00s].
> enter image description here
你能提供給你的'y'變量的詳細信息。例如'str(y)'。 –
我編輯了代碼。順便一提;在其他代碼中;我試圖通過使用「as.matrix(y)」和「as.numeric(y)」來製作「y」矩陣。當這兩個應用時;規則算法甚至不起作用。 @PetrMatousu 如果你看看我編輯的代碼;當我改變支持價值;最小支持計數會減少,但仍無法找到任何規則。 – Annabella
也許你的'csv'文件的代碼片段也會有幫助。 –