重新格式化数据

我开始使用tidyr和dplyr。我有以下的数据帧：重新格式化数据

      email Assignment Stage Grade 
1      [email protected] course final 86.28 
2      [email protected] course first 68.87 
3      [email protected] course resub 38.06 
4      [email protected] course final 77.41 
...

我想这样重组此，基于阶段（第一，RESUB或最终）创建从一个等级列对应于第一阶段的值三列的值

      email Assignment first resub final 
1      [email protected] course 100.0 100.0 100.0 
2      [email protected] course 100.0 100.0 100.0 
3      [email protected] course 100.0 100.0 100.0 
4      [email protected] course 100.0 100.0 100.0

（数据显然不是因为剪切/粘贴的匹配。）

我很困惑，我需要一个单独的（）函数，但如何？谢谢！

来源

2017-05-30 pitosalas

tidyr的spread（）函数应该为您提供所需的结果。

email <- c("[email protected]","[email protected]","[email protected]","[email protected]") 
Assignment <- rep("course",4) 
Stage <- c("final","first","resub","final") 
Grade <- c(86.28,68.87,38.06,77.41) 

df <- data.frame(email,Assignment,Stage,Grade,stringsAsFactors = FALSE) 

df <- df %>% 
     spread(Stage, Grade)

来源

2017-05-30 13:52:44

重新格式化数据

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