Frameworker247 - 1 month ago 5

R Question

I have two vectors in R:

`> x <- c(323, 344, 383, 404, 428, 444, 1447, 1466, 1492, 1512)`

> y <- c(329, 389, 1453, 1465, 1498, 1511)

I need a data frame with x and the minimum in y greater than x, so this is the result set I'm looking for:

`> data.frame(`

x = c(323, 344, 383, 404, 428, 444, 1447, 1466, 1492, 1512),

y = c(329, 389, 389, 1453, 1453, 1453, 1453, 1498, 1498, NA)

)

I've tried to subset, something like:

`> x_data_frame <- data.frame(a = x) #create the frame`

> x_data_frame$b <- min(y[y > x]) #calculation

But of course, that doesn't work. Any ideas?

Answer

You can loop through `x`

and construct a vector based on your condition:

```
data.frame(x, y = sapply(x, function(i) dplyr::na_if(min(y[y>i]), Inf)))
# x y
#1 323 329
#2 344 389
#3 383 389
#4 404 1453
#5 428 1453
#6 444 1453
#7 1447 1453
#8 1466 1498
#9 1492 1498
#10 1512 NA
```

Used the `na_if()`

function from `dplyr`

to replace `Inf`

value with `NA`

, you can ignore it if `Inf`

value is fine for your analysis.

Source (Stackoverflow)

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