我试图写一个如下的函数:
Q5base_func<- function(x){
a<-subQ5 %>% group_by(Q1,x) %>% summarise(n = n())
a <- a[complete.cases(a),] %>% filter(x == 1)
sum <- sum(a$n)
a_percent<- a%>%
mutate(freq= (n/sum)*100)
}
我希望在x==1时得到x的数量以及的百分比
有人能指出我错在哪里吗?非常感谢。
当我应用该功能时,
Q5base_func(subQ5$Q4)
错误追溯:
Error: Column `x` is unknown
13.
stop(structure(list(message = "Column `x` is unknown", call = NULL,
cppstack = NULL), class = c("Rcpp::exception", "C++Error",
"error", "condition")))
12.
grouped_df_impl(data, unname(vars), drop)
11.
grouped_df(groups$data, groups$group_names, .drop)
10.
group_by.data.frame(., Q1, x)
9.
group_by(., Q1, x)
8.
function_list[[i]](value)
7.
freduce(value, `_function_list`)
6.
`_fseq`(`_lhs`)
5.
eval(quote(`_fseq`(`_lhs`)), env, env)
4.
eval(quote(`_fseq`(`_lhs`)), env, env)
3.
withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
2.
subQ5 %>% group_by(Q1, x) %>% summarise(n = n())
1.
Q5base_func(subQ5$Q11)
示例数据集如下所示:
Q1 Qx
1 1
2 0
2 1
3 0
3 1
3 1
您试图完成的任务是可能的。
subQ5 <- structure(list(Q1 = c(1L, 2L, 2L, 3L, 3L, 3L),
Qx = c(1L, 0L, 1L, 0L, 1L, 1L)),
class = "data.frame", row.names = c(NA, -6L))
library(dplyr)
Q5base_func <- function(df, x) {
df %>% filter(complete.cases(.)) %>%
group_by(Q1) %>%
# mutate(sumx=sum(Qx==x), percent=sum(Qx==x)/n()) #add columns and keeps all of the data
summarise(sumx=sum(Qx==x), percent=sum(Qx==x)/n()) #summarize the results
}
x<-1
answer <-Q5base_func(subQ5, x)
answer