这期内容当中小编将会给大家带来有关R语言中RStudio中文读取乱码的解决方法，文章内容丰富且以专业的角度为大家分析和叙述，阅读完这篇文章希望大家可以有所收获。
10年积累的
成都网站建设、成都做网站经验，可以快速应对客户对网站的新想法和需求。提供各种问题对应的解决方案。让选择我们的客户得到更好、更有力的网络服务。我虽然不认识你，你也不认识我。但先
网站设计后付款的网站建设流程，更有
青河免费网站建设让你可以放心的选择与我们合作。
RStudio中使用rjson包读取处理json数据时，遇到中文会显示为 ““等类似乱码。
解决方案，在R语言终端中输入以下命令完美解决。
Sys.setlocale(category="LC_ALL",locale="en_US.UTF-8")
将以下JSON数据保存为json格式文件（注意文件编码为UTF-8）
{
"ID": ["1", "2", "3", "4", "5", "6", "7", "8"],
"Name": ["Rick", "Dan", "Michelle", "Ryan", "Gary", "Nina", "Simon", "Guru"],
"Salary": ["623.3", "515.2", "611", "729", "843.25", "578", "632.8", "722.5"],
"StartDate": ["1/1/2012", "9/23/2013", "11/15/2014", "5/11/2014", "3/27/2015",
"5/21/2013", "7/30/2013", "6/17/2014"],
"Dept": ["IT部门", "Operations", "IT", "HR人力资源部", "Finance", "IT", "Operations", "Finance"]
}使用rjson包读取json数据，已下3行命令：
library("rjson")
result_json <- fromJSON(file = "comment.json")
result_json第一行：加载rjson包；
第二行：使用函数fromJSON读取本地json文件；
第三行：输出结果；
在未解决乱码之前输出结果是：
$ID
[1] "1" "2" "3" "4" "5" "6" "7" "8"
$Name
[1] "Rick" "Dan" "Michelle" "Ryan"
[5] "Gary" "Nina" "Simon" "Guru"
$Salary
[1] "623.3" "515.2" "611" "729" "843.25" "578"
[7] "632.8" "722.5"
$StartDate
[1] "1/1/2012" "9/23/2013" "11/15/2014" "5/11/2014"
[5] "3/27/2015" "5/21/2013" "7/30/2013" "6/17/2014"
$Dept
[1] "IT"
[2] "Operations"
[3] "IT"
[4] "HR"
[5] "Finance"
[6] "IT"
[7] "Operations"
[8] "Finance"
通过命令解决中文输出问题后，输出结果完美解决中文问题。
$ID
[1] "1" "2" "3" "4" "5" "6" "7" "8"
$Name
[1] "Rick" "Dan" "Michelle" "Ryan"
[5] "Gary" "Nina" "Simon" "Guru"
$Salary
[1] "623.3" "515.2" "611" "729" "843.25" "578"
[7] "632.8" "722.5"
$StartDate
[1] "1/1/2012" "9/23/2013" "11/15/2014" "5/11/2014"
[5] "3/27/2015" "5/21/2013" "7/30/2013" "6/17/2014"
$Dept
[1] "IT部门" "Operations" "IT"
[4] "HR人力资源部" "Finance" "IT"
[7] "Operations" "Finance"
上述就是小编为大家分享的R语言中RStudio中文读取乱码的解决方法了，如果刚好有类似的疑惑，不妨参照上述分析进行理解。如果想知道更多相关知识，欢迎关注创新互联-成都网站建设公司行业资讯频道。
分享文章：R语言中RStudio中文读取乱码的解决方法-创新互联
文章来源：
http://cdkjz.cn/article/dgojeo.html
