来自字符向量的数据帧,其中变量名称及其数据共同存储

Bor*_*ino 10 r strsplit dataframe

我有这样的情况:

foo <- data.frame("vars" = c("animal: mouse | wks: 12 | site: cage | PI: 78",
                            "animal: dog | wks: 32 | GI: 0.2",
                            "animal: cat | wks: 8 | site: wild | PI: 13"))
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其中变量名称和相关数据存储在字符串中,如上例所示。特别是,每个variable_name/its_data单元都由|. 之后:是相关数据。

我想要一个像这样的最终数据框:

  animal  wks  site  PI   GI
  mouse   12   cage  78   NA
    dog   32   <NA>  NA  0.2
    cat    8   wild  13   NA
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akr*_*run 7

我们可以使用read.dcf来自base R

out <- type.convert(as.data.frame(read.dcf(
    textConnection(paste(gsub("\\s+\\|\\s+", "\n", foo$vars), 
    collapse="\n\n")))), as.is = TRUE)
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-输出

> out
  animal wks site PI  GI
1  mouse  12 cage 78  NA
2    dog  32 <NA> NA 0.2
3    cat   8 wild 13  NA
> str(out)
'data.frame':   3 obs. of  5 variables:
 $ animal: chr  "mouse" "dog" "cat"
 $ wks   : int  12 32 8
 $ site  : chr  "cage" NA "wild"
 $ PI    : int  78 NA 13
 $ GI    : num  NA 0.2 NA
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Tar*_*Jae 5

这是一个dplyr解决方案:

library(dplyr)
library(tidyr)

tibble(foo) %>%
  mutate(row = row_number()) %>% 
  separate_rows(vars, sep = '\\|') %>% 
  separate(vars, c("a", "b"), sep = '\\:') %>% 
  mutate(across(everything(), str_trim)) %>% 
  group_by(a) %>% 
  pivot_wider(names_from = a, values_from = b) %>% 
  type.convert(as.is = TRUE) %>% 
  select(-row)
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  animal   wks site     PI    GI
  <chr>  <int> <chr> <int> <dbl>
1 mouse     12 cage     78  NA  
2 dog       32 NA       NA   0.2
3 cat        8 wild     13  NA 
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