Multiple variable filters in r

Question

I\'m trying to figure out the best way how to use multiple variable filters in R.

Usually have up to 100 variables (in one condition) and need to filter cases where ANY

Answer 1

We could use Reduce with lapply

vys1 <-  dt[, Reduce('|', lapply(.SD, '==', 37)), .SDcols= x1:x10]
identical(as.vector(vys), vys1)
#[1] TRUE

Based on the same sort of benchmarks used

pm<-proc.time()
vys<-((x1==37) | (x2==37) | (x3==37) | (x4==37) | (x5==37) | (x6==37) | (x7==37) | (x8==37) | (x9==37) | (x10==37))
proc.time() - pm
#  user  system elapsed 
#  0.05    0.13    0.93 

pm<-proc.time()
vys1 <-  dt[, Reduce('|', lapply(.SD, '==', 37)), .SDcols= x1:x10]
proc.time() - pm
#   user  system elapsed 
#  0.05    0.03    0.08