I have a data frame that looks like this
iso_o iso_d FLOW FLOW_0
185 190 NA NA
185 190 NA NA
185 190 NA NA
185 190 1 NA
185 190 NA NA
185 190 NA 4249
185 114 1 NA
Now I want to know which rows and the number of rows that have for example "185" in iso_o and "190" in iso_d. Can anyone point me in the right direction?
We can try subset
> subset(df, iso_o == 185 & iso_d == 190)
iso_o iso_d FLOW FLOW_0
1 185 190 NA NA
2 185 190 NA NA
3 185 190 NA NA
4 185 190 1 NA
5 185 190 NA NA
6 185 190 NA 4249