如何根据列中存在的名称分隔数据?
How to separate the data based on names present in a column?
我有一个看起来像这样的数据框。
df <- data.frame(names = c("Ram","Siddhharth","Nithin","Aashrit","Bragadish","Sridhar"),
house = c("A", "B", "A", "B", "A", "B"))
我想创建一个新的数据框,根据他们所在的房子重新排列。
预期输出
house_A house_B
1 Ram Siddhharth
2 Nithin Aashrit
3 Bragadish Sridhar
我怎样才能做到这一点?非常感谢。
您可以使用 tidyr
:
df %>%
pivot_wider(names_from="house", names_prefix="house_", values_from="names", values_fn=list) %>%
unnest(cols=everything())
这个returns
# A tibble: 3 x 2
house_A house_B
<chr> <chr>
1 Ram Siddhharth
2 Nithin Aashrit
3 Bragadish Sridhar
我有一个看起来像这样的数据框。
df <- data.frame(names = c("Ram","Siddhharth","Nithin","Aashrit","Bragadish","Sridhar"),
house = c("A", "B", "A", "B", "A", "B"))
我想创建一个新的数据框,根据他们所在的房子重新排列。
预期输出
house_A house_B
1 Ram Siddhharth
2 Nithin Aashrit
3 Bragadish Sridhar
我怎样才能做到这一点?非常感谢。
您可以使用 tidyr
:
df %>%
pivot_wider(names_from="house", names_prefix="house_", values_from="names", values_fn=list) %>%
unnest(cols=everything())
这个returns
# A tibble: 3 x 2
house_A house_B
<chr> <chr>
1 Ram Siddhharth
2 Nithin Aashrit
3 Bragadish Sridhar