将多行数据格式化为R中的单行

Question

我是一个奇怪的 excel 或 csv 格式的文件，我想将其作为数据框导入到 R。问题是有些列有多行记录，例如数据如下：有三列两行但是工具列有多列，有没有办法我可以格式化数据所以我会有只记录多个工具（比如工具 1、工具 2 等）

Task             Location  Tools 
Raising ticket   Alabama   sharepoint
                           word
                           oracle
Changing ticket  Seattle   word 
                           oracle

预期最终输出

Task             Location  Tools1   Tools2  Tools3
Raising ticket   Alabama   sharepoint   word    oracle
Changing ticket  Seattle   word         oracle

Answer 1

与 dplyr 和 tidyr。您可以 fill 您的数据框，以便任务和位置包含在每一行中。然后 group_by 任务和 mutate 为每个组中的每个任务添加一个 id 列。然后使用 spread 将新创建的 id 列分布到多个列中。

library(dplyr)
library(tidyr)
df <- data.frame(Task = c("Raising ticket","","","Changing ticket",""), Location = c("Alabama","","","Seattle",""), Tools = c("sharepoint","word","oracle","word","oracle"))
df[df==""]  <- NA
df %>%
  fill(Task,Location) %>%
  group_by(Task) %>%
  mutate(id = paste0("Tools",row_number())) %>%
  spread(id, Tools)

# A tibble: 2 x 5
# Groups: Task [2]
#  Task            Location Tools1     Tools2 Tools3
#   <fct>           <fct>    <fct>      <fct>  <fct> 
# 1 Changing ticket Seattle  word       oracle <NA>  
# 2 Raising ticket  Alabama  sharepoint word   oracle

将多行数据格式化为R中的单行

formatting multi-row data into single row in R

r

reshape

dplyr

data.table

tidyr