按R降价对文章标题进行排序

我有50多个R标记的手稿标题，它们是直接从word文档复制的。我想知道是否有一个函数或包，我可以按字母顺序对这些标题进行排序，这样我就可以在R标记中列出它们

Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study

Covid-19 deaths in Africa: prospective systematic postmortem surveillance study

Food anaphylaxis in the United Kingdom: analysis of national data, 1998-2018

Association of first trimester prescription opioid use with congenital malformations in the offspring: population based cohort study

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在下面的示例中，您应该能够将文本复制到

read.table

的

text

参数中

sep

定义条目以换行符分隔，并跳过空行（

blank.lines.skip=T

）

---

df将
排序（我的手稿）
不起作用吗？鉴于它们是逐行列出的，制作
我的手稿
的最佳方法是什么@ZX8754您可能需要类似于
扫描
，然后是
排序
。您有那些额外的“空白”行吗？请尝试逐行阅读文件：
MyDrafts是的，此解决方案解决了在我将它们放入数据帧后出现的奇怪空白行问题。非常感谢！
df <- read.table(sep = "\n", blank.lines.skip = T, stringsAsFactors=FALSE, 
  text = "Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study

Covid-19 deaths in Africa: prospective systematic postmortem surveillance study

Food anaphylaxis in the United Kingdom: analysis of national data, 1998-2018

Association of first trimester prescription opioid use with congenital malformations in the offspring: population based cohort study"
)

df <- sort(df$V1)
df

# [1] "Association of first trimester prescription opioid use with congenital malformations in the offspring: population based cohort study"       
# [2] "Covid-19 deaths in Africa: prospective systematic postmortem surveillance study"                                                            
# [3] "Food anaphylaxis in the United Kingdom: analysis of national data, 1998-2018"                                                               
# [4] "Hospital admission and mortality rates for non-covid diseases in Denmark during covid-19 pandemic: nationwide population based cohort study"