if statement - R: Automated ifelse calculation in matrix for every row -

for large matrix [n,1], want find out every row, if value smaller 0.1 , if following value (in following row) bigger 0.1.

ifelse(matrix[1,1]<0.1 & matrix[2,1]>0.1, "1", "0")  ifelse(matrix[2,1]<0.1 & matrix[3,1]>0.1, "1", "0")  ifelse(matrix[3,1]<0.1 & matrix[4,1]>0.1, "1", "0")` 

how can automate calculation every row?

this vectorized:

set.seed(6l); n <- 10l; m <- matrix(rnorm(n,0.1,0.01),ncol=1l); m; ##             [,1] ##  [1,] 0.10269606 ##  [2,] 0.09370015 ##  [3,] 0.10868660 ##  [4,] 0.11727196 ##  [5,] 0.10024188 ##  [6,] 0.10368025 ##  [7,] 0.08690796 ##  [8,] 0.10738622 ##  [9,] 0.10044873 ## [10,] 0.08951603 m[-length(m)]<0.1 & m[-1l]>0.1; ## [1] false  true false false false false  true false false 

if want actual row indexes:

which(m[-length(m)]<0.1 & m[-1l]>0.1); ## [1] 2 7