我创建了一个如下所示的循环来检查与表中的行匹配的条件。如果匹配,则打印rowname。如果它们不匹配,则不会发生任何事情。
condition <- c(0,0,1,1)
id <- apply(table, 1,
function(i) sum(i[1:length(table)] != condition)==0)
idd<-as.matrix(id)
for (i in 1:length(idd)){
if (idd[i] == TRUE) {
print(rownames(idd)[i])
}
}
> table
> [1] [2] [3] [4]
>1651838 1 1 0 0
>1653006 0 0 0 0
>1656415 0 0 0 1
>1657317 -1 0 0 0
我的问题是:是否可以针对多种情况进行此循环?类似的东西:
condition <- c("0,0,0,0","0,0,0,1","0,0,1,0","0,1,0,0","1,0,0,0",
"0,0,1,1","1,1,0,0","0,1,1,0","1,0,0,1","1,0,1,0",
"0,1,0,1","1,0,1,1","1,1,0,1","1,1,1,0","0,1,1,1","1,1,1,1")
for(r in 1:length(condition)){
id <- apply(regulationtable, 1,
function(i) sum(i[1:length(regulationtable)] != condition[r])==0
)
idd<-as.matrix(id)
test<-list()
for (i in 1:length(idd)) {
if (idd[i] == TRUE) {
print(rownames(idd)[i])
}
test[[i]]<-matrix(idtest)
}
}
谢谢!
答案 0 :(得分:2)
%dyadic函数中的%应返回匹配的所有行:
> rownames(table)[strtab %in% condition]
[1] "1651838" "1653006" "1656415"
> tabl2 <- table[c(1:4, 3), ]
> rownames(tabl2)[strtab %in% condition]
[1] "1651838" "1653006" "1656415" "1656415"
(听到这场比赛不会那样,我有点惊讶,因为%in%是以匹配为核心。)
答案 1 :(得分:1)
怎么样:
## make up data
z <- matrix(c(1,0,0,-1,1,
1,0,0,0,1,
0,0,0,0,0,
0,0,1,0,0),
nrow=5,
dimnames=list(LETTERS[1:5],NULL))
condition <- c("0,0,0,0","0,0,0,1","0,0,1,0","0,1,0,0","1,0,0,0",
"0,0,1,1","1,1,0,0","0,1,1,0","1,0,0,1","1,0,1,0",
"0,1,0,1","1,0,1,1","1,1,0,1","1,1,1,0","0,1,1,1","1,1,1,1")
strtab <- apply(z,1,paste,collapse=",")
## rownames(z)[match(condition,strtab)] ## first match only
omat <- outer(condition,strtab,"==") ## all comparisons
colnames(omat)[col(omat)][omat] ## select corresponding colnames