R语言随机森林求助

Question

library( ”randomForest” )
training <-read.csv("d:/Users/Lenovo-pc/Documents/2013data1.csv",header=TRUE) /导入数据/
ind <-sample(2,nrow(training),replace=TRUE,prob=c(0.7,0.3)) /对数据分成两部分，70%训练数据，30%检测数据/
traindata<- training [ind==1,]
testdata<- training [ind==2,]

set.seed(100)
rf<-randomForest(oneyear~.,data=training,training[ind==1,],ntree=100,nPerm=10,mtry=3,proximity=TRUE,importance=TRUE)
这里显示 Error in na.fail.default(list(oneyear = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, :
missing values in object

table(predict(rf),training$id)
print(rf)
plot(rf)
importance(rf)
还有我想问一下，oneyear是最终的分类结果，那么分类的标准，也就是变量是怎么确定的呢？oneyear在行还是列？

Answer 1

语言代码：
library(randomForest)/安装随机森林程序包/
library(foreign)
training <-read.csv("D:\\bank.csv")/导入数据/
ind<-sample(2,nrow(training),replace=TRUE,prob=c(0.7,0.3))/对数据分成两部分，70%训练数据，30%检测数据/
traindata<- training [ind==1,]
testdata<- training [ind==2,]
rf <- randomForest(y ~ ., data=training, ntree=100, proximity=TRUE)/y是因变量/
table(predict(rf), training$y)
print(rf)
plot(rf)
importance(rf)追问

请问
显示 Error in na.fail.default(list(oneyear = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, :
missing values in object
是什么意思？
代码感觉是对的

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