# A tibble: 26 x 2
 condition value
  <fctr>           <int>
 1       sim              99
 2       sim             100
 3       con             242
 4       con             255
 5       con             194
 6       sim             135
 7       con             504
 8       sim             131
 9       sim             115
10       sim             159
# ... with 16 more rows

wilcox.test(value ~ condition, data = q)

Wilcoxon rank sum test with continuity correction

data:  value by condition
W = 165, p-value = 3.445e-05
alternative hypothesis: true location shift is not equal to 0

qsim <- q$value[q$condition == "sim"]
> qsim
[1]  99 100 135 131 115 159 105  77 178 131 120 175 191 130

qcon <- q$value[q$condition == "con"]
> qcon
[1] 242 255 194 504 545 344 194 198 208 173 349 280

wilcox.test(qsim, qcon)

    Wilcoxon rank sum test with continuity correction

data:  qsim and qcon
W = 3, p-value = 3.445e-05
alternative hypothesis: true location shift is not equal to 0