I have the following dataframe in R:
data=
Time X1 X2 X3
1 1 0 0
2 1 1 1
3 0 0 1
4 1 1 1
5 0 0 0
6 0 1 1
7 1 1 1
8 0 0
this is your data
mydf <- structure(list(Time = 1:10, X1 = c(1L, 1L, 0L, 1L, 0L, 0L, 1L,
0L, 1L, 0L), X2 = c(0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 0L),
X3 = c(0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L)), .Names = c("Time",
"X1", "X2", "X3"), class = "data.frame", row.names = c(NA, -10L
))
Using subset
subset(mydf, X1 == 0 & X2==1 & X3==1)
# Time X1 X2 X3
#6 6 0 1 1
another way
mydf[mydf$X1 ==0 & mydf$X2 ==1 & mydf$X3 ==1, ]
# Time X1 X2 X3
#6 6 0 1 1
or like this
mydf[mydf$X1 ==0 & mydf$X2 & mydf$X3 %in% c(1,1), ]
# Time X1 X2 X3
#6 6 0 1 1
you can also do that by
library(dplyr)
filter(mydf, X1==0 & X2==1 & X3==1)
# Time X1 X2 X3
#1 6 0 1 1