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"))
Run Code Online (Sandbox Code Playgroud)
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
Run Code Online (Sandbox Code Playgroud)
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)
Run Code Online (Sandbox Code Playgroud)
-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
Run Code Online (Sandbox Code Playgroud)
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)
Run Code Online (Sandbox Code Playgroud)
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
Run Code Online (Sandbox Code Playgroud)