[英]subset all rows except those with a specific condition with group_by for varying number of variables in r
我想過濾這個df
Sample <- c(1:24)
Group <- c("A","A","A","A","A","A","A","A","A","A","A","A", "B","B","B","B","B","B","B","B","B","B","B","B")
T1 <- c(74.4, 74.7, 74.1, 72.2, 72.8, 72.9, 70.8, 71.2, 70.5, 72.4, 72.7, 72.1, 71.2, 71.8, 71.9, 70.8, 70.2, 70.5, 72.2, 72.7, 72.1, 70.8, 71.0, 70.7)
S1 <- c("sample", "sample", "sample", "std", "std","std","std","std", "std", "sample", "sample", "sample","sample", "sample", "sample", "std", "std","std", "std", "std", "sample", "sample", "sample", "sample")
df <- data.frame(Sample, Group, T1, S1)
保留所有行,除了每個組的S1=="std" & Group == "A" & T1 %!+-1% median(T1[S1 == "std"])
以獲得此Group
Sample Group T1 S1
1 1 A 74.4 sample
2 2 A 74.7 sample
3 3 A 74.1 sample
4 4 A 72.2 std
7 7 A 70.8 std
8 8 A 71.2 std
10 10 A 72.4 sample
11 11 A 72.7 sample
12 12 A 72.1 sample
13 13 B 71.2 sample
14 14 B 71.8 sample
15 15 B 71.9 sample
16 16 B 70.8 std
17 17 B 70.2 std
18 18 B 70.5 std
21 21 B 72.1 sample
22 22 B 70.8 sample
23 23 B 71.0 sample
24 24 B 70.7 sample
>
我得到了這個漂亮代碼的幫助
df %>% group_by(Group) %>% filter(T1 %+-1% median(T1[S1 == "std"]))
它過濾所有行(不僅是S1 == "std"
),但我無法解決它來實現subset
function 以便我刪除具有這些條件的行。
我仍然這樣做 - 據我所知,這不是正確的方式,而且它也不允許我為不同數量的組(如果超過 2 個)這樣做
for(Var in unique(df$Group)) {
assign(paste("T1_", Var, sep = ""), median(filter(df, Group == Var, S1 == "std")$T1))
}
`%+-1%` <- function(T1, T1_A) (T1 >= T1_A-1) & (T1 <= T1_A+1)
df %>% subset(!(df$S1=="std" & df$Group == "A" & df$T1 %!+-1% T1_A |
df$S1=="std" & df$Group == "B" & df$T1 %!+-1% T1_B))
這將刪除每個Group
中S1=="std"
和Group == "A"
且T1
值介於S1 == "std"
的T1
中median
的 +- 1% 之間的行。
library(dplyr)
df %>%
group_by(Group) %>%
filter({
val <- median(T1[S1 == "std"])
!(S1=="std" & T1 %!+-1% val)
}) %>%
ungroup
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