Question

我有一个工作目录，其中包含37个Locations.csv和37 Behavior.csv

请参见下文，其中某些文件具有与111868-Behavior.csv和111868-Behavior 2.csv相同的编号，Locations.csv也是如此

#here some of the csv in the work directory

dir()
  [1] "111868-Behavior 2.csv"            "111868-Behavior.csv"             
  [3] "111868-Locations 2.csv"           "111868-Locations.csv"            
  [5] "111869-Behavior.csv"              "111869-Locations.csv"            
  [7] "111870-Behavior 2.csv"            "111870-Behavior.csv"             
  [9] "111870-Locations 2.csv"           "111870-Locations.csv"            
 [11] "112696-Behavior 2.csv"            "112696-Behavior.csv"             
 [13] "112696-Locations 2.csv"           "112696-Locations.csv"

我无法更改文件名。

我想导入所有36个位置和36个行为，但是当我尝试导入时

#Create list of all behaviors
bhv <- list.files(pattern="*-Behavior.csv")
bhv2 <- list.files(pattern="*-Behavior 2.csv")

#Throw them altogether
bhv_csv = ldply(bhv, read_csv)
bhv_csv2 = ldply(bhv2, read_csv)

#Join bhv_csv and bhv_csv2
b<-rbind(bhv_csv,bhv_csv2)

#Create list of all locations
loc <- list.files(pattern="*-Locations.csv")
loc2 <- list.files(pattern="*-Locations 2.csv")

#Throw them altogether
loc_csv = ldply(loc, read_csv)
loc_csv2 = ldply(loc2, read_csv)

#Join loc_csv and loc_csv2
l<-rbind(loc_csv,loc_csv2)

仅显示28个，而不显示我所估计的36个

length(unique(b$Ptt))
[1] 28

length(unique(l$Ptt))
[1] 28

这个数字28，大约是所有Behaviors.csv和Locations.csv，而没有Behaviors 2.csv和Locations 2.csv（数字“ 2”的总数为8）

我想以显示36个行为和位置的方式导入所有文件“行为”和“所有位置”。我该怎么办？

Answer 1

您可以使用purrr::map来简化一些代码：

library("tidyverse")
library("readr")

# Create two small csv files
write_lines("a,b\n1,2\n3,4", "file1.csv")
write_lines("a,c\n5,6\n7,8", "file2.csv")

list.files(pattern = "*.csv") %>%
  # `map` will cycle through the files and read each one
  map(read_csv) %>%
  # and then we can bind them all together
  bind_rows()
#> Parsed with column specification:
#> cols(
#>   a = col_double(),
#>   b = col_double()
#> )
#> Parsed with column specification:
#> cols(
#>   a = col_double(),
#>   c = col_double()
#> )
#> # A tibble: 4 x 3
#>       a     b     c
#>   <dbl> <dbl> <dbl>
#> 1     1     2    NA
#> 2     3     4    NA
#> 3     5    NA     6
#> 4     7    NA     8

^{由reprex package（v0.2.1）于2019-03-28创建}

将多个.csv文件导入具有不同名称的R中

1 个答案: