[英]R caret package (rpart)
使用rpart庫時出現以下錯誤
dt <- rpart(formula, method="class", data=full.df.allAttr.train);
Error in model.frame.default(formula = formula, data = full.df.allAttr.train, :
object is not a matrix
當我將full.df.allAttr.train轉換為矩陣時
dt <- rpart(formula, method="class", data= as.matrix( full.df.allAttr.train));
Error in model.frame.default(formula = formula, data = as.matrix(full.df.allAttr.train), :
'data' must be a data.frame, not a matrix or an array
當我檢查類時輸入其數據框
class(full.df.allAttr.train)
[1] "data.frame"
謝謝您的投入,當我使用正確的列名創建公式並產生結果時,錯誤就消失了。
measurevar <- "SpeakerName"
formula_str <- paste(measurevar, paste(rowNames, collapse=" + "), sep=" ~ ")
formula <- as.formula(formula_str)
由於我的數據框具有row.names,而下面的文本是快照,它給出了一個不同的錯誤
Error in model.frame.default(formula = formula, data = full.df.train, :
variable lengths differ (found for 'character(0)')
抱歉,我將添加完整的源代碼和數據集
library(tm)
library(rpart)
obamaCorpus <- Corpus(DirSource(directory = "D:/R/Chap 6/Speeches/obama" , encoding="UTF-8"))
romneyCorpus <- Corpus(DirSource(directory = "D:/R/Chap 6/Speeches/romney" , encoding="UTF-8"))
fullCorpus <- c(obamaCorpus,romneyCorpus)#1-22 (obama), 23-44(romney)
fullCorpus.cleansed <- tm_map(fullCorpus, removePunctuation)
fullCorpus.cleansed <- tm_map(fullCorpus.cleansed, stripWhitespace)
fullCorpus.cleansed <- tm_map(fullCorpus.cleansed, tolower)
fullCorpus.cleansed <- tm_map(fullCorpus.cleansed, removeWords, stopwords("english"))
fullCorpus.cleansed <- tm_map(fullCorpus.cleansed, PlainTextDocument)
#fullCorpus.cleansed <- tm_map(fullCorpus.cleansed, stemDocument)
full.dtm <- DocumentTermMatrix(fullCorpus.cleansed)
full.dtm.spars <- removeSparseTerms(full.dtm , 0.6)
full.matix <- data.matrix(full.dtm.spars)
full.df <- as.data.frame(full.matix)
full.df[,"SpeakerName"] <- "obama"
full.df$SpeakerName[21:44] <- "romney"
train.idx <- sample(nrow(full.df) , ceiling(nrow(full.df)* 0.6))
test.idx <- (1:nrow(full.df))[-train.idx]
rowNames <- colnames(full.df)
measurevar <- "SpeakerName"
formula_str <- paste(measurevar, paste(rowNames, collapse=" + "), sep=" ~ ")
formula <- as.formula(formula_str)
dt <- rpart(formula, method="class", data=full.df.train);
在最后一步失敗
數據集在這里https://drive.google.com/folderview?id=0B1SogodTE-kJSHF6aFRmQURsV0U&usp=sharing
您忘記包含full.df.train
並且公式不正確。
這將起作用:
full.df.train <- full.df[train.idx, ]
dt <- rpart(SpeakerName ~ ., method = "class", data = full.df.train)
公式的問題是~
兩側都包含SpeakerName
。 如果要使用所有變量,請使用.
表達更加容易和緊湊。
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