arules 隔离 lhs 和 rhs
arules isolating lhs and rhs
下面是示例:
library(arules)
data(Adult)
rules <- apriori(Adult,parameter = list(maxlen = 2,minlen=2))
inspect(head(rules,3))
lhs rhs support confidence lift
1 {relationship=Unmarried} => {capital-loss=None} 0.1019819 0.9719024 1.019537
2 {occupation=Sales} => {race=White} 0.1005282 0.8920785 1.043314
3 {occupation=Sales} => {native-country=United-States} 0.1039679 0.9226017 1.028055
我想创建一个包含 2 列的 data.table,一列称为 lhs,另一列称为 rhs,我在其中存储了我的规则的 lhs 和 rhs 值,如下所示:
lhs rhs
relationship=Unmarried capital-loss=None
occupation=Sales race=White
occupation=Sales native-country=United-States
我发誓我曾在 windows 上以 a<-as.data.table(inspect(rules))
开始,但在我的 mac 上它不起作用...你有什么建议?
给出
library(arules)
library(data.table)
data(Adult)
rules <- apriori(Adult,parameter = list(maxlen = 2,minlen=2))
r <- head(rules,3)
如果 as.data.table(inspect(r))
不起作用(它在我的机器上起作用,Win7 x64,R 3.2.2 & packageVersion("arules")
beeing 1.3.0
),那么可以试试
f <- function(x, fun) unlist(as(fun(x), "list"))
( dt <- data.table(lhs=f(r, lhs), rhs=f(r, rhs)) )
# lhs rhs
# 1: relationship=Unmarried capital-loss=None
# 2: occupation=Sales race=White
# 3: occupation=Sales native-country=United-States
这就是我想要完成的方式...
library(arules)
data(Adult)
rules <- apriori(Adult,parameter = list(maxlen = 2,minlen=2))
data.frame(lhs = labels(lhs(rules), setStart = "", setEnd = ""),
rhs = labels(rhs(rules), setStart = "", setEnd = ""))
下面是示例:
library(arules)
data(Adult)
rules <- apriori(Adult,parameter = list(maxlen = 2,minlen=2))
inspect(head(rules,3))
lhs rhs support confidence lift
1 {relationship=Unmarried} => {capital-loss=None} 0.1019819 0.9719024 1.019537
2 {occupation=Sales} => {race=White} 0.1005282 0.8920785 1.043314
3 {occupation=Sales} => {native-country=United-States} 0.1039679 0.9226017 1.028055
我想创建一个包含 2 列的 data.table,一列称为 lhs,另一列称为 rhs,我在其中存储了我的规则的 lhs 和 rhs 值,如下所示:
lhs rhs
relationship=Unmarried capital-loss=None
occupation=Sales race=White
occupation=Sales native-country=United-States
我发誓我曾在 windows 上以 a<-as.data.table(inspect(rules))
开始,但在我的 mac 上它不起作用...你有什么建议?
给出
library(arules)
library(data.table)
data(Adult)
rules <- apriori(Adult,parameter = list(maxlen = 2,minlen=2))
r <- head(rules,3)
如果 as.data.table(inspect(r))
不起作用(它在我的机器上起作用,Win7 x64,R 3.2.2 & packageVersion("arules")
beeing 1.3.0
),那么可以试试
f <- function(x, fun) unlist(as(fun(x), "list"))
( dt <- data.table(lhs=f(r, lhs), rhs=f(r, rhs)) )
# lhs rhs
# 1: relationship=Unmarried capital-loss=None
# 2: occupation=Sales race=White
# 3: occupation=Sales native-country=United-States
这就是我想要完成的方式...
library(arules)
data(Adult)
rules <- apriori(Adult,parameter = list(maxlen = 2,minlen=2))
data.frame(lhs = labels(lhs(rules), setStart = "", setEnd = ""),
rhs = labels(rhs(rules), setStart = "", setEnd = ""))