regex - R-原始文本到data.frame

我处理扫描目录中的原始文本数据。
我想将字符串 vector 转换为data.frame对象。
我的载体由按字母顺序列出的人进行了一项或多项工作。
-人名大写。
-每件作品都有编号。
-编号工作是连续的。

AADFDS
1 Lorem ipsum dolor sit amet, consectetur adipiscing elit.
AB
2 Nulla sollicitudin elit in purus egestas, in placerat velit iaculis.
BBDDED
3 Nunc et eros eget turpis sollicitudin mollis id et mi.
4 Mauris condimentum velit eu consequat feugiat.
5 Suspendisse sit amet metus vitae est eleifend tincidunt.
CCDDFSF
6 Sed cursus augue in tempus scelerisque.
7 in commodo enim in laoreet gravida.

预期结果1

Author     Work
AA DFDS    1 Lorem ipsum dolor sit amet, consectetur adipiscing elit.
AB         2 Nulla sollicitudin elit in purus egestas, in placerat velit
BBDDED     3 Nunc et eros eget turpis sollicitudin mollis id et
BBDDED     4 Mauris condimentum velit eu consequat feugiat.
BBDDED     5 Suspendisse sit amet metus vitae est eleifend tincidunt.
CCDDFSF    6 Sed cursus augue in tempus scelerisque.
CCDDFSF    7 in commodo enim in laoreet gravida.

预期结果2，每个工作都有一个专栏

Author  |   Work1  |  Work2  |  Work3  |  Work(x)

数据通过以下方式导入到R中:
readlines ("clipboard", encoding = " latin1 ")
我能够使用不同的正则表达式识别包括大写字母在内的艺术家姓名的行

例如
^[A-ZÁÀÂÄÃÅÇÉÈÊËÍÌÎÏÑÓÒÔÖÕÚÙÛÜÝYÆO][A-ZÁÀÂÄÃÅÇÉÈÊËÍÌÎÏÑÓÒÔÖÕÚÙÛÜÝYÆO |']
我能够识别包括艺术品在内的线条
^[0-9]+[\s]
任何帮助将不胜感激。

最佳答案

这样可以为您的样品数据提供正确的结果。

txt="
AADFDS
1 Lorem ipsum dolor sit amet, consectetur adipiscing elit.
AB
2 Nulla sollicitudin elit in purus egestas, in placerat velit iaculis.
BBDDED
3 Nunc et eros eget turpis sollicitudin mollis id et mi.
4 Mauris condimentum velit eu consequat feugiat.
5 Suspendisse sit amet metus vitae est eleifend tincidunt.
CCDDFSF
6 Sed cursus augue in tempus scelerisque.
7 in commodo enim in laoreet gravida."

last_author=""
author_count=0
#the first scan splits the data by line, i.e., sep="\n"
#then for each line, we split by whitespace, i.e., sep=" "
#if the first element is numeric we increase the
#respective author's work counter "author_count" and
#we return the the work in a data.frame
#if the first element is non-numeric, we have
#encountered a new author
#we store the new author name in "last_author"
#(and remove trailing whitespaces at the end)
result1=do.call("rbind",
                lapply(as.list(scan(text=txt,
                                    what="character",
                                    sep="\n",
                                    quiet=TRUE)),
                       function(x) {
                         tmp=scan(text=x,what="character",sep=" ",quiet=TRUE)
                         if (grepl("[0-9]",tmp[1])) {
                           author_count<<-author_count+1
                           data.frame(Author=last_author,N=author_count,Work=x)
                         } else {
                           last_author<<-gsub("\\s*$","",x)
                           author_count<<-0
                           NULL
                         }}))

#we pivot the data; rows correspond to authors, columns to works
result2=reshape2::dcast(result1,Author~N,value.var = "Work")
#just renaming the columns
colnames(result2)[-1]=paste0("Work",1:(ncol(result2)-1))
result2

关于regex - R-原始文本到data.frame，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/33842315/