R 使用两个记录分隔符读取ASCII固定长度字段/记录

如果这太宽泛，我很抱歉，但我很难加载存档的人口普查县业务模式数据。文件格式描述为

ASCII，固定长度字段/记录，带有两个记录分隔符（回车符和换行符）；记录长度包括分隔符

我试着将其加载到excel、R和Stata中。我只是想以可读的格式获取文件，以便以后使用。我试着用read.fwf将它读入R，但我真的不清楚应该使用什么宽度。我不太了解文件类型。我不太熟悉ASCII文件，文件后缀也没有给我太多信息。任何建议都将不胜感激。我在下面提供了一个链接，指向我试图使用的一组文件

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有些行的数据不正确，因此我建议从包

readr

library(readr)
data <- read_delim("https://catalog.archives.gov/OpaAPI/media/873805/content/arcmedia/electronic-records/rg-029/cbp-files/RG029.CBP85.T2I1?download=true",
                   delim = " ", col_names = FALSE)
data
## A tibble: 32,970 x 6
#      X1 X2    X3                                                                                                                   #X4    X5 X6    
#   <dbl> <chr> <chr>                                                                                                             #<dbl> <dbl> <chr> 
# 1 11001 ----  " 00000003482800000011566200000049404800248400140400048300029200018300006600003400001600000500000100000100000000… 11000 23001 " 424…
# 2 11001 07--  "B00000000000000000000000000000000000000001700001200000300000100000100000000000000000000000000000000000000000000… 11000 23001 " 424…
# 3 11001 0700  "B00000000000000000000000000000000000000001500001000000300000100000100000000000000000000000000000000000000000000… 11000 23001 " 424…
# 4 11001 0720  "B00000000000000000000000000000000000000000200000000000000000100000100000000000000000000000000000000000000000000… 11000 23001 " 424…
# 5 11001 0740  " 00000000001900000000003500000000019100000500000300000200000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 6 11001 0750  "A00000000000000000000000000000000000000000100000100000000000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 7 11001 0780  " 00000000001200000000002700000000035100000600000500000100000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 8 11001 0800  "A00000000000000000000000000000000000000000200000200000000000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 9 11001 10--  "A00000000000000000000000000000000000000000200000100000000000100000000000000000000000000000000000000000000000000… 11000 23001 " 424…
#10 11001 1400  "A00000000000000000000000000000000000000000200000100000000000100000000000000000000000000000000000000000000000000… 11000 23001 " 424…
## … with 32,960 more rows

库（readr）
数据有些行的数据不正确，因此我建议从包
readr

library(readr)
data <- read_delim("https://catalog.archives.gov/OpaAPI/media/873805/content/arcmedia/electronic-records/rg-029/cbp-files/RG029.CBP85.T2I1?download=true",
                   delim = " ", col_names = FALSE)
data
## A tibble: 32,970 x 6
#      X1 X2    X3                                                                                                                   #X4    X5 X6    
#   <dbl> <chr> <chr>                                                                                                             #<dbl> <dbl> <chr> 
# 1 11001 ----  " 00000003482800000011566200000049404800248400140400048300029200018300006600003400001600000500000100000100000000… 11000 23001 " 424…
# 2 11001 07--  "B00000000000000000000000000000000000000001700001200000300000100000100000000000000000000000000000000000000000000… 11000 23001 " 424…
# 3 11001 0700  "B00000000000000000000000000000000000000001500001000000300000100000100000000000000000000000000000000000000000000… 11000 23001 " 424…
# 4 11001 0720  "B00000000000000000000000000000000000000000200000000000000000100000100000000000000000000000000000000000000000000… 11000 23001 " 424…
# 5 11001 0740  " 00000000001900000000003500000000019100000500000300000200000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 6 11001 0750  "A00000000000000000000000000000000000000000100000100000000000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 7 11001 0780  " 00000000001200000000002700000000035100000600000500000100000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 8 11001 0800  "A00000000000000000000000000000000000000000200000200000000000000000000000000000000000000000000000000000000000000… 11000 23001 " 424…
# 9 11001 10--  "A00000000000000000000000000000000000000000200000100000000000100000000000000000000000000000000000000000000000000… 11000 23001 " 424…
#10 11001 1400  "A00000000000000000000000000000000000000000200000100000000000100000000000000000000000000000000000000000000000000… 11000 23001 " 424…
## … with 32,960 more rows

库（readr）
数据我们可以使用
read.table
和
fill=TRUE
在
base R

data <- read.table("https://catalog.archives.gov/OpaAPI/media/873805/content/arcmedia/electronic-records/rg-029/cbp-files/RG029.CBP85.T2I1?download=true", fill = TRUE)

我们可以在
base R
中使用
read.table
和
fill=TRUE

data <- read.table("https://catalog.archives.gov/OpaAPI/media/873805/content/arcmedia/electronic-records/rg-029/cbp-files/RG029.CBP85.T2I1?download=true", fill = TRUE)