R - write value into variable after two statements -

i have loop 2 if statements. works fine, except add values passing second if statement variable v1. assign variable first , variable gets filled lot of na's , 3 values expecting. want 3 values in variable.

so instead of writing i fulfills requirements, every single i gets written variable.

v1 <- c()  for(i in seq_along(y$values)){   if(y$lengths[i] < 500 && y$values[i] == true){     y$values[i] <- false   }   if(y$lengths[i] > 500 && y$values[i] == true){     print(y$lengths[i])     v1[[i]] <- y$lengths[i]   } } 

i had @ apply functions, couldn't figure out how use both if statements in apply.

the data large logical vector. use y <- rle(vec) on vector, gives me y$lengths (everything between 1 , few hundred thousand) , y$values (true , false).

the desired result rle lengths >500 , true true.:

[1] 5120 [1] 16630 [1] 10188 

which print command gives me fine.

dput(y$length) gives me:

c(129719l, 1l, 79337l, 2l, 4l, 1l, 3l, 1l, 2l, 1l, 1l, 1l, 4l,  2l, 2l, 3l, 2l, 1l, 2l, 2l, 2l, 2l, 2l, 1l, 1l, 5l, 1l, 3l, 1l,  6l, 1l, 5120l, 1l, 39l, 1l, 12l, 1l, 121l, 1l, 14l, 1l, 6l, 1l,  3l, 1l, 3l, 1l, 2l, 1l, 6l, 1l, 11l, 1l, 9l, 1l, 10l, 2l, 6l,  1l, 2l, 2l, 1l, 1l, 7l, 2l, 4l, 1l, 2l, 1l, 4l, 1l, 3l, 2l, 5l,  1l, 5l, 4l, 8l, 1l, 4l, 1l, 4l, 2l, 2l, 2l, 9l, 1l, 2l, 1l, 2l,  1l, 3l, 2l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 2l, 2l, 1l, 3l, 3l, 1l,  7l, 1l, 1l, 1l, 1l, 2l, 6l, 2l, 2l, 1l, 2l, 4l, 3l, 1l, 1l, 1l,  4l, 3l, 2l, 1l, 5l, 5l, 2l, 2l, 3l, 1l, 2l, 1l, 1l, 1l, 2l, 1l,  4l, 2l, 2l, 1l, 1l, 1l, 4l, 1l, 1l, 3l, 4l, 2l, 1l, 1l, 13l,  1l, 3l, 2l, 3l, 1l, 9l, 1l, 1l, 1l, 1l, 2l, 3l, 1l, 4l, 1l, 13l,  1l, 3l, 1l, 4l, 1l, 8l, 1l, 7l, 1l, 2l, 1l, 2l, 1l, 2l, 1l, 3l,  1l, 4l, 1l, 2l, 2l, 5l, 1l, 1l, 2l, 2l, 1l, 1l, 1l, 1l, 4l, 3l,  3l, 2l, 1l, 1l, 2l, 1l, 1l, 2l, 3l, 1l, 2l, 1l, 4l, 1l, 9l, 2l,  6l, 1l, 14l, 1l, 2l, 1l, 6l, 1l, 16630l, 7l, 1l, 3l, 2l, 3l,  1l, 4l, 3l, 4l, 1l, 1l, 2l, 7l, 1l, 1l, 1l, 1l, 1l, 8l, 1l, 5l,  1l, 6l, 1l, 1l, 3l, 1l, 1l, 2l, 1l, 1l, 1l, 1l, 1l, 2l, 1l, 2l,  1l, 1l, 1l, 6l, 1l, 5l, 1l, 2l, 2l, 3l, 1l, 5l, 2l, 3l, 1l, 2l,  2l, 10l, 1l, 4l, 1l, 2l, 2l, 1l, 2l, 1l, 1l, 1l, 1l, 7l, 3l,  1l, 1l, 4l, 1l, 1l, 1l, 10l, 1l, 2l, 2l, 3l, 1l, 3l, 5l, 2l,  3l, 1l, 1l, 2l, 1l, 1l, 3l, 1l, 4l, 3l, 1l, 1l, 1l, 1l, 2l, 2l,  1l, 4l, 2l, 1l, 1l, 3l, 1l, 1l, 2l, 1l, 4l, 1l, 1l, 3l, 4l, 2l,  1l, 2l, 1l, 1l, 3l, 1l, 2l, 1l, 2l, 1l, 3l, 1l, 2l, 1l, 3l, 1l,  1l, 1l, 3l, 2l, 12l, 1l, 3l, 2l, 2l, 1l, 1l, 2l, 7l, 1l, 2l,  1l, 1l, 2l, 1l, 1l, 7l, 1l, 2l, 1l, 4l, 1l, 7l, 1l, 4l, 1l, 1l,  1l, 6l, 1l, 6l, 1l, 6l, 2l, 14l, 1l, 5l, 1l, 9l, 1l, 1l, 1l,  1l, 2l, 39l, 1l, 20l, 1l, 1l, 1l, 6l, 1l, 9l, 2l, 5l, 1l, 7l,  1l, 16l, 1l, 22l, 1l, 1l, 1l, 10l, 1l, 20l, 1l, 18l, 1l, 20l,  1l, 3l, 1l, 2l, 1l, 2l, 1l, 5l, 1l, 9l, 1l, 3l, 1l, 3l, 1l, 15l,  1l, 10l, 1l, 40l, 1l, 30l, 1l, 111l, 1l, 314l, 1l, 9l, 1l, 10188l,  4l, 88l, 1l, 8l, 1l, 1l, 1l, 1l, 1l, 15l, 1l, 24l, 1l, 1l, 2l,  3l, 1l, 16l, 1l, 3l, 1l, 4l, 2l, 2l, 2l, 1l, 2l, 5l, 2l, 2l,  7l, 1l, 1l, 3l, 2l, 3l, 7l, 2l, 1l, 1l, 6l, 1l, 4l, 2l, 2l, 1l,  2l, 1l, 1l, 1l, 13l, 1l, 2l, 1l, 2l, 1l, 3l, 1l, 3l, 1l, 4l,  1l, 16l, 1l, 4071l, 5l, 162912l, 1l, 6l, 1l, 280986l) 

you can final v1 vector efficiently without loops or apply this:

v1 <- y$lengths[y$lengths > 500 & y$values == true] 

if want use loops here 2 options:

(1) can append v1 this:

v1 <- c() for(i in seq_along(y$values)){   if(y$lengths[i] < 500 && y$values[i] == true){     y$values[i] <- false   }   if(y$lengths[i] > 500 && y$values[i] == true){     print(y$lengths[i])     v1 <- c(v1, y$lengths[i])   } } 

(2) appending can slow if vector v1 gets long. alternative can preallocate exclude nas in end this:

v1 <- rep(na, length) for(i in seq_along(y$values)){   if(y$lengths[i] < 500 && y$values[i] == true){     y$values[i] <- false   }   if(y$lengths[i] > 500 && y$values[i] == true){     print(y$lengths[i])     v1[i] <- y$lengths[i]   } } v1 <- v1[!is.na(v1)]