Subsetting two binary variables?

[AlexisW]

I'm not sure how this is possible. Indeed, the approach you use should work, as can be made clear with an example:

df <- data.frame(id=1:10,
                 POPULIST = c(rep(1,4), rep(0,6)),
                 EUROSCEPTIC = c(rep(0,2),rep(1,4), rep(0,4)))


df
#>    id POPULIST EUROSCEPTIC
#> 1   1        1           0
#> 2   2        1           0
#> 3   3        1           1
#> 4   4        1           1
#> 5   5        0           1
#> 6   6        0           1
#> 7   7        0           0
#> 8   8        0           0
#> 9   9        0           0
#> 10 10        0           0
subset(df, POPULIST == 1 | EUROSCEPTIC == 1)
#>   id POPULIST EUROSCEPTIC
#> 1  1        1           0
#> 2  2        1           0
#> 3  3        1           1
#> 4  4        1           1
#> 5  5        0           1
#> 6  6        0           1

^{Created on 2020-12-06 by the reprex package (v0.3.0)}

So to understand what's wrong in your case, it could help if you made a minimal reproducible example, see some guidelines here:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

PS: to get a better look at your data and see what number of parties to expect, you could try to tabulate POPULIST vs EUROSCEPTIC like that:

table(df$POPULIST, df$EUROSCEPTIC)
#>   
#>    0 1
#>  0 4 2
#>  1 2 2