如何解决＆＃34; SVD中的错误$ u [，1：dims]：下标越界＆＃34;在R编程？

Question

我是R编程中的新蜜蜂，请你帮我解决下面给出的代码中的错误：

#import library
library(NLP)
library(tm)
library(wordcloud)
library(SnowballC)
library(slam)
library(lsa)

#import text files for preprocessing
text_key<-(Corpus(DirSource('V:\\Work\\R\\Input\\answer_key')))

##pre-processing is started
#do pre-processing of text data of answer
text_key <- tm_map(text_key, stripWhitespace)
text_key <- tm_map(text_key,content_transformer(tolower))
text_key <- tm_map(text_key,removeWords, stopwords("english"))
text_key <- tm_map(text_key, removeNumbers)
text_key <- tm_map(text_key, removePunctuation)

#do stemming of douments
text_key <- tm_map(text_key,stemDocument,language="english")
text_key <- tm_map(text_key, stripWhitespace)   # *Stripping whitespace   
text_key <- tm_map(text_key, PlainTextDocument) 

#generate document term matrix
dtm_key <- DocumentTermMatrix(text_key)

#print the output of documenttermmatrix
dtm_key

# #inspect the element in document term matrix
inspect(dtm_key)

# #generate wirdcoud for twi dicument term matrix for answer-sheets
m <- as.matrix(dtm_key)

am <- lw_logtf(am) * gw_idf(am)

space <- lsa(am, dims = dimcalc_raw())

我必须使用LSA将我的矩阵生成到语义空间，但我面临着SVD订阅错误的错误。

Answer 1

这是一个愚蠢的错误，需要改为

# #generate wirdcoud for twi dicument term matrix for answer-sheets
m <- as.matrix(dtm_key)

am <- lw_logtf(am) * gw_idf(am)

我将变量更改为“am”替换为“m”变量。

 am <- lw_logtf(m) * gw_idf(m)

这是变更变量，我解决了。