我有一个像这样的数据集：
Hospital.Name State heart attack
1 SOUTHEAST ALABAMA MEDICAL CENTER AL 14.3
2 MARSHALL MEDICAL CENTER SOUTH AL 18.5
3 ELIZA COFFEE MEMORIAL HOSPITAL AL 18.1
4 MIZELL MEMORIAL HOSPITAL AL Not Available
5 CRENSHAW COMMUNITY HOSPITAL AL Not Available
6 MARSHALL MEDICAL CENTER NORTH AL Not Available
7 ST VINCENT'S EAST AL 17.7
8 DEKALB REGIONAL MEDICAL CENTER AL 18.0
9 SHELBY BAPTIST MEDICAL CENTER AL 15.9
10 CALLAHAN EYE FOUNDATION HOSPITAL AL Not Available
11 HELEN KELLER MEMORIAL HOSPITAL AL 19.6
12 DALE MEDICAL CENTER AL 17.3
13 CHEROKEE MEDICAL CENTER AL Not Available
14 BAPTIST MEDICAL CENTER SOUTH AL 17.8
15 JACKSON HOSPITAL & CLINIC INC AL 17.5
16 GEORGE H. LANIER MEMORIAL HOSPITAL AL 15.4
17 ELBA GENERAL HOSPITAL AL Not Available
18 EAST ALABAMA MEDICAL CENTER AND SNF AL 16.3
19 WEDOWEE HOSPITAL AL Not Available
20 UNIVERSITY OF ALABAMA HOSPITAL AL 15.0
目标是针对每个州针对“心脏病发作”的给定医院等级检索医院名称。例如，在这里我试图针对数据框中的每个州检索心脏病发作列中得分最低（rank = 1）的医院名称。
这是我的尝试：
stateVec <- unique(df$State)
outcome <- 'heart attack'
name <- c()
st <- c()
stateVec <- c()
rank <- 1
for (i in 1:length(stateVec)) {
k <- stateVec[i]
df1 <- dplyr::filter(df, State==k)
rankVec <- unique(df[[outcome]])
rankVec <- sort(rankVec[rankVec != 'Not Available'])
key <- rankVec[rank]
df1 <- dplyr::filter(df1, get(outcome, envir = as.environment(df))==key)
df1 <- df1[order(df$Hospital.Name), , drop = F]
d <- df1[1,]
name <- d$Hospital.Name
st <- k
return(data.frame(st, name))
}
我收到以下错误：
Error in filter_impl(.data, quo) : Result must have length 98, not 4706
我尝试用mtcars数据集重新创建问题，但未得到相同的错误。任何帮助，将不胜感激:)