This question already has an answer here:
這個問題已經有了答案:
I have a dataframe:
我有一個dataframe:
df <- data.frame(Category = c(rep("A", 3), rep("B", 3)), Value = rnorm(6))
df
Category Value
1 A -0.94968814
2 A 2.56687061
3 A -0.15665153
4 B -0.47647105
5 B 0.83015076
6 B -0.03744522
Now I want to add another column which is the mean per Category. This can be done with the dplyr package really easy:
現在我想再加一列,也就是每個類別的均值。這可以用dplyr包非常簡單:
df %>% group_by(Category) %>%
summarize(mean = mean(Value))
Now in piece of code my problem is: I can't use mean(Value)
, but I have a variable name that knows the column name: columnName = "Value"
But this unfortunately won't work:
在這段代碼中,我的問題是:我不能使用mean(Value),但是我有一個變量名,它知道列名:columnName = "Value"但不幸的是,這行不通:
columnName = "Value"
df %>% group_by(Category) %>%
summarize(mean = mean(columnName))
Warning messages: 1: In mean.default("Value") : argument is not numeric or logical: returning NA 2: In mean.default("Value") :
argument is not numeric or logical: returning NA警告消息:1:在mean.default(“Value”)中:參數不是數字或邏輯:返回NA 2: In mean.default(“Value”):參數不是數字或邏輯:返回NA。
How can I pass the column name with the variable?
如何將列名與變量一起傳遞?
2
We can use get
with aggregate
我們可以使用集合get
aggregate(get(columnName)~Category, df, mean)
# Category get(columnName)
#1 A -0.5490751
#2 B -0.2594670
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