r - Exclude a Specific Value from a Unique Value Counter -

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i trying count how many different responses person gives during trial of experiment, there catch.

there supposed 6 possible responses (1,2,3,4,5,6) 0 recorded response (it's glitch / flaw in design).

i need count number of different responses give, counting unique values within range 1-6. helps calculate accuracy.

is there way exclude value 0 contributing unique value counter? other work-arounds?

currently trying method below, includes 0, na, , think other entry in cell in unique value counter column (i have named "span6"), makes me sad.

# span6 calculator: asiximagetrials <- data.frame(esopt_831$t8.resp, esopt_831$t9.resp, esopt_831$t10.resp, esopt_831$t11.resp, esopt_831$t12.resp, esopt_831$t13.resp) asiximagetrials$span6 = apply(asiximagetrials, 1, function(x) length(unique(x)))

use na.omit inside unique , sum logic vector below

df$res = apply(df, 1, function(x) sum(unique(na.omit(x)) > 0)) df

output:

   x1 x2 x3 x4 x5 res 1   2  1  1  2  1   2 2   3  0  1  1  2   3 3   3 na  1  1  3   2 4   3  3  3  4 na   2 5   1  1  0 na  3   2 6   3 na na  1  1   2 7   2  0  2  3  0   2 8   0  2  2  2  1   2 9   3  2  3  0 na   2 10  0  2  3  2  2   2 11  2  2  1  2  1   2 12  0  2  2  2 na   1 13  0  1  4  3  2   4 14  2  2  1  1 na   2 15  3 na  2  2 na   2 16  2  2 na  3 na   2 17  2  3  2  2  2   2 18  2 na  3  2  2   2 19 na  4  5  1  3   4 20  3  1  2  1 na   3

data:

set.seed(752) mat <- matrix(rbinom(100, 10, .2), nrow = 20) mat[sample(1:100, 15)] = na data.frame(mat) -> df df$res = apply(df, 1, function(x) sum(unique(na.omit(x)) > 0))

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