重新格式化數據

我開始使用tidyr和dplyr。我有以下的數據幀：重新格式化數據

      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 
...

我想這樣重組此，基於階段（第一，RESUB或最終）創建從一個等級列對應於第一階段的值三列的值

      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

（數據顯然不是因爲剪切/粘貼的匹配。）

我很困惑，我需要一個單獨的（）函數，但如何？謝謝！

來源

2017-05-30 pitosalas

tidyr的spread（）函數應該爲您提供所需的結果。

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)

來源

2017-05-30 13:52:44

重新格式化數據

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