我是R编程的新手,不幸的是,我不得不处理电影镜头-100万数据。在这里,我想问一下如何在分隔符::In movies.dat处拆分列。我已经尝试过这样的代码:
> moviesDF<-read.delim("movies.dat", sep="|", header=F, stringsAsFactors=FALSE)
> str(moviesDF)
'data.frame': 3998 obs. of 3 variables:
$ V1: chr "1::Toy Story (1995)::Animation" "2::Jumanji (1995)::Adventure" "3::Grumpier Old Men (1995)::Comedy" "4::Waiting to Exhale (1995)::Comedy" ...
$ V2: chr "Children's" "Children's" "Romance" "Drama" ...
$ V3: chr "Comedy" "Fantasy" "" "" ...所需的输出如下:
V1: Movie ID
V2: Title
V3: Genre另外,我的目标是提供推荐系统。
发布于 2015-05-08 13:40:55
您可以从我的"splitstackshape“包中尝试cSplit。使用情况如下:
library(splitstackshape)
cSplit(moviesDF, "V1", "::")
# V2 V3 V1_1 V1_2 V1_3
# 1: Children's Comedy 1 Toy Story (1995) Animation
# 2: Children's Fantasy 2 Jumanji (1995) Adventure
# 3: Romance 3 Grumpier Old Men (1995) Comedy
# 4: Drama 4 Waiting to Exhale (1995) Comedy发布于 2015-05-08 13:43:27
问题在于导入函数。read.delim(sep="|")没有正确读取数据集,因为|只在V3中分隔所需的不同值。您应该使用readLines导入数据集。
moviesDF <- readLines("movies.dat")
moviesDF <- as.data.frame(do.call("rbind",strsplit(moviesDF,"::")),stringsAsFactors = FALSE)
names(moviesDF) <- c("V1","V2","V3")https://stackoverflow.com/questions/30124989
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